Technische Universität Dortmund
Patent Portfolio in Transition — A Comparative Analysis of Two Eras: Pre- and Post-Excellence Start-Up Center (2013–2024)
Filing Activity Over Time
12-year timeline of patent filing activity. The vertical dashed line marks the transition from the pre-period (2013–2018) to the post-Excellence-Start-Up-Center era (2019–2024).
Data table: Annual Filing Activity 2013–2024
| Year | Families | Applications | Co-Filed | Granted |
|---|---|---|---|---|
| 2013 | 9 | 13 | 2 | 4 |
| 2014 | 15 | 18 | 4 | 5 |
| 2015 | 13 | 20 | 1 | 7 |
| 2016 | 17 | 21 | 3 | 6 |
| 2017 | 22 | 25 | 2 | 8 |
| 2018 | 17 | 22 | 2 | 6 |
| Avg. 2013–2018: 15.5 / 19.8 / 2.3 / 6.0 | ||||
| 2019 | 15 | 21 | 2 | 5 |
| 2020 | 14 | 22 | 4 | 3 |
| 2021 | 13 | 17 | 2 | 1 |
| 2022 | 15 | 23 | 4 | 2 |
| 2023 | 16 | 21 | 2 | 2 |
| 2024* | 11 | 12 | 3 | 1 |
| Avg. 2019–2024: 14.0 / 19.3 / 2.8 / 2.3 | ||||
* 2024: Incomplete data due to ~18-month publication delay (PATSTAT Autumn 2025 Edition). Grant counts for 2021–2024 are artificially low due to examination pendency.
Filing volume remained essentially stable across both periods (avg. 15.5 vs. 14.0 families/year). The Excellence Start-Up Center initiative (launched 2019) has not yet resulted in a measurable increase in patent filings. However, the 2024 data is incomplete, and effects may take several years to materialize through the patent pipeline.
Period Comparison Dashboard
Side-by-side comparison of key portfolio metrics. Families are assigned to their earliest filing year to avoid double-counting.
2013–2018
| Patent Families | 62 |
| Applications | 119 |
| PCT Rate | 40.3% |
| EP Coverage | 58.1% |
| US Coverage | 16.1% |
| Co-Filing Rate | 21.0% |
| Grant Rate | 51.6% |
| Avg. Apps/Family | 2.0 |
2019–2024
| Patent Families | 55 |
| Applications | 116 |
| PCT Rate | 50.9% |
| EP Coverage | 38.2% |
| US Coverage | 16.4% |
| Co-Filing Rate | 18.2% |
| Grant Rate | 16.4%* |
| Avg. Apps/Family | 2.0 |
* Grant rate for 2019–2024 is artificially low due to examination pendency (typically 3–5 years). The 2013–2018 rate is more representative of actual grant outcomes.
The PCT rate increased from 40% to 51%, indicating a stronger international filing strategy. EP direct filings declined (-20pp), suggesting a shift from the EP route to the PCT route as the preferred path for international protection. US coverage remained stable at ~16%. Two new jurisdictions were added: China (2 families) and South Korea (1 family).
Technology Evolution — The Big Shift
WIPO technology sector distribution across both periods reveals a dramatic structural transformation.
Data table: WIPO Sector Distribution
| WIPO Sector | 2013–18 | 2019–24 | Change |
|---|---|---|---|
| Mechanical Engineering | 29 | 14 | -52% |
| Chemistry | 21 | 20 | -5% |
| Electrical Engineering | 18 | 19 | +6% |
| Instruments | 13 | 20 | +54% |
| Other Fields | 1 | 2 | +100% |
Note: Families can be assigned to multiple WIPO sectors. Sector totals exceed the family count.
Mechanical Engineering lost its dominant position (-52%), driven primarily by the decline in sheet metal forming research (B21D: 17 to 2 families). Meanwhile, Instruments emerged as the new growth area (+54%), fueled by sensor technologies and material analysis. This shift reflects a generational change in the inventor base rather than an institutional strategy change.
IPC Classification — Dauerbrenner vs. Newcomers
Top IPC subclasses across both periods, showing growing, declining, new, and discontinued areas.
Data table: IPC Subclass Distribution
| IPC | Description | 2013–18 | 2019–24 | Total | Trend |
|---|---|---|---|---|---|
| B21D | Sheet Metal Working | 17 | 2 | 19 | -88% |
| G01N | Investigating/Analysing Materials | 4 | 11 | 15 | +175% |
| B29C | Plastics Shaping | 8 | 4 | 12 | -50% |
| H04B | Transmission (Telecom) | 4 | 6 | 9 | +50% |
| G01R | Measuring Electric Variables | 3 | 5 | 8 | +67% |
| C12N | Microorganisms/Enzymes | 2 | 5 | 6 | +150% |
| B33Y | Additive Manufacturing | 4 | 1 | 5 | -75% |
| C07D | Heterocyclic Compounds | 3 | 3 | 5 | stable |
| G06F | Digital Data Processing | 2 | 3 | 5 | +50% |
| B21C | Metal Sheets/Wire Manufacture | 3 | 2 | 5 | -33% |
| B01J | Catalysis/Colloid Chemistry | 3 | 2 | 5 | -33% |
| H04W | Wireless Communication | 1 | 3 | 4 | +200% |
| H02M | Power Conversion | 0 | 3 | 3 | NEW |
| H02J | Electric Power Networks | 3 | 1 | 4 | -67% |
| G05B | Control Systems | 1 | 2 | 3 | +100% |
“Dauerbrenner” (Evergreens): C07D (heterocyclic compounds, 3+3) and H04B (transmission, 4+6) show consistent activity across both periods. These represent stable research strengths in pharmaceutical chemistry and telecommunications. Newcomers: H02M (power conversion, 0 to 3), H04W (wireless, 1 to 3), and the dramatic rise of G01N (materials analysis, 4 to 11) signal new research directions, likely linked to the sensor technology and 5G/communication groups of Profs. Palzer, Boecker, and Wietfeld.
Top Inventors — Generational Change
Inventor names consolidated across PATSTAT spelling variants. The table reveals a clear generational shift in the inventor base.
Data table: Top Inventors by Period
| Inventor | 2013–18 | 2019–24 | Total | Note |
|---|---|---|---|---|
| Tekkaya, A. Erman | 20 | 5 | 25 | 4 variants |
| Wietfeld, Christian | 3 | 3 | 6 | 3 variants |
| Frei, Stephan | 2 | 4 | 6 | |
| Tiller, Joerg Christian | 5 | 1 | 6 | 2 variants |
| Rehtanz, Christian | 5 | 0 | 5 | 2 variants |
| Gies, Soeren | 5 | 0 | 5 | |
| Palzer, Stefan | 0 | 5 | 5 | NEW |
| Meya, Rickmer | 4 | 0 | 4 | |
| Katzenberg, Frank | 3 | 1 | 4 | |
| Kuenne, Bernd | 4 | 0 | 4 | |
| Ben Khalifa, Noomane | 3 | 1 | 4 | 2 variants |
| Boecker, Stefan | 0 | 3 | 3 | NEW |
| Thommes, Markus | 0 | 3 | 3 | NEW |
| Hering, Oliver | 0 | 3 | 3 | NEW |
| Bruemmer, Andreas | 0 | 3 | 3 | NEW |
| Kockmann, Norbert | 1 | 2 | 3 | |
| Brunschweiger, Andreas | 2 | 1 | 3 | 2 variants |
| Klika Skopic, Mateja | 2 | 1 | 3 | 2 variants |
The Tekkaya Effect: Prof. Tekkaya alone accounted for 20 of 62 families (32%) in the first period. His reduced patenting activity (5 families in the second period) is the single biggest driver of both the overall volume decline and the collapse of B21D sheet metal forming patents (17 to 2). Five new inventors emerged post-2019, each contributing 3–5 families, but none yet approach Tekkaya's prolific output.
Geographic Filing Strategy
Distribution of patent applications across filing offices. The chart shows a shift from European regional (EP) to PCT-first strategy.
Data table: Geographic Filing Distribution
| Office | 2013–18 | 2019–24 | Total | Trend |
|---|---|---|---|---|
| DE (DPMA) | 47 | 43 | 90 | stable |
| EP (EPO) | 38 | 27 | 65 | -29% |
| WO (PCT) | 24 | 29 | 53 | +21% |
| US (USPTO) | 7 | 12 | 19 | +71% |
| CN (CNIPA) | 0 | 2 | 2 | NEW |
| CA (CIPO) | 1 | 1 | 2 | stable |
| Others (FR, LU, IL, KR) | 2 | 2 | 4 | stable |
PCT-First Strategy: The university shifted from a DE+EP dual-filing approach (2013–2018) to a DE+WO strategy (2019–2024). PCT filings grew from 24 to 29 (+21%) while EP direct filings dropped from 38 to 27 (-29%). This is a smart cost-optimization: PCT provides a 30-month window to decide on national phase entries, reducing upfront costs while preserving options. US filings nearly doubled (7 to 12), reflecting greater commercial interest in US markets.
Collaboration Network
Co-applicants on joint patent applications. TU Dortmund itself and its known name variants are excluded.
Data table: Co-Applicants by Period
| Co-Applicant | 2013–18 | 2019–24 | Total | Type |
|---|---|---|---|---|
| Universitaet Duisburg-Essen | 1 | 1 | 2 | University |
| Max-Planck-Gesellschaft | 0 | 2 | 2 | Research (NEW) |
| Fraunhofer-Gesellschaft | 0 | 1 | 1 | Research (NEW) |
| TU Dresden | 0 | 1 | 1 | University (NEW) |
| Bayer AG | 0 | 1 | 1 | Industry (NEW) |
| Northeastern University (US) | 0 | 1 | 1 | International (NEW) |
| TRUMPF Werkzeugmaschinen | 0 | 1 | 1 | Industry (NEW) |
| Karlsruher Institut fuer Technologie | 1 | 0 | 1 | University |
| Leibniz-Institut ISAS | 1 | 0 | 1 | Research |
| Ernst-Moritz-Arndt-Universitaet Greifswald | 1 | 0 | 1 | University |
| Astrol Electronic AG | 1 | 0 | 1 | Industry |
| ZBT GmbH (Brennstoffzellentechnik) | 1 | 0 | 1 | Research |
Broadening Network: The collaboration portfolio shifted from primarily regional partners (2013–2018: KIT, Greifswald, ISAS) to a broader mix including major research organizations (Max-Planck, Fraunhofer), industry (Bayer, TRUMPF), and even international partners (Northeastern University, US). Only Universitaet Duisburg-Essen maintained a co-application relationship across both periods — a natural partner given the geographic proximity in the Ruhr region.
Grant Rates by Office
Examination outcomes by filing period and office. Note the caveat on pendency for recent filings.
Data table: Grant Rates by Office and Period
| Office | 2013–18 Apps | 2013–18 Granted | Grant Rate | 2019–24 Apps | 2019–24 Granted | Grant Rate |
|---|---|---|---|---|---|---|
| DE (DPMA) | 47 | 7 | 14.9% | 43 | 5 | 11.6%* |
| EP (EPO) | 38 | 22 | 57.9% | 27 | 3 | 11.1%* |
| US (USPTO) | 7 | 5 | 71.4% | 12 | 4 | 33.3%* |
* 2019–2024 grant rates are not meaningful for comparison — most applications are still under examination. Typical examination takes 3–5 years. WO (PCT) applications are not examined directly and are excluded from this table.
Strong Grant Performance (2013–2018): The EP grant rate of 57.9% and US grant rate of 71.4% are excellent for a university portfolio, indicating high patent quality. The low DE grant rate (14.9%) may reflect a higher number of applications that entered national phase but were not actively pursued at DPMA.
Most Cited Patent Families
Top 10 most-cited families across both periods. All are from 2013–2018 — older patents have had more time to accumulate citations.
Data table: Top 10 Most-Cited Families
| Rank | Title | Year | Citations |
|---|---|---|---|
| 1 | Hybrid Simulation of Power Electronics and Power Systems | 2013 | 45 |
| 2 | Optical Free-Space Transmission | 2014 | 33 |
| 3 | Combined Production of Components by Sheet Forming & Additive Manufacturing | 2014 | 31 |
| 4 | Three-Dimensional Additive Printing Operations | 2014 | 26 |
| 5 | Method for Monitoring Airspace | 2014 | 23 |
| 6 | Hydrogen Production by Thermal Decomposition | 2013 | 20 |
| 7 | Frequency Stability Control for Transmission Grids | 2018 | 19 |
| 8 | DNA-Encoded Chemical Library | 2015 | 13 |
| 9 | Derivatized Silicon Dioxide Nanoparticles | 2015 | 13 |
| 10 | Incremental Production of Bent Profiles | 2017 | 12 |
High-Impact Research: The most-cited family (45 citations) relates to hybrid power electronics simulation — a topic at the intersection of electrical engineering and control systems. Several top-cited families are in additive manufacturing (rank 3, 4) and metal forming (rank 10), reflecting Tekkaya's group's pioneering work. The DNA-Encoded Chemical Library patent (rank 8, Brunschweiger group) shows strong citation impact in pharmaceutical chemistry.
Selected Patent Titles
Representative inventions from each period, showing the breadth and evolution of the research portfolio.
2013–2018 Highlights
| Year | Title |
|---|---|
| 2013 | Hybrid Simulation of Power Electronics and Power Systems |
| 2014 | Method and Apparatus for the Incremental Production of Bent Profiles |
| 2014 | Plenoptic Imaging Method |
| 2015 | DNA-Encoded Chemical Library, Use Thereof and Method to Screen |
| 2015 | Method for Monitoring Airspace |
| 2015 | Optical Free-Space Transmission |
| 2016 | Hydrogel Composite Material |
| 2016 | In Situ Separation of Amphipathic Compound by Foam Adsorption |
| 2017 | Synthesis of DNA-Encoded Libraries by Micellar Catalysis |
| 2017 | Communication System in a Current Supply Grid |
| 2018 | Biotechnological Production of Cannabinoids |
| 2018 | Fault Diagnosis in an Electric Network |
2019–2024 Highlights
| Year | Title |
|---|---|
| 2019 | Biotechnological Production of Cannabinoids |
| 2019 | Method for Determining 5-Methylcytosine Configurations in DNA |
| 2020 | Energy Management System for Batch Production Processes |
| 2020 | Method for Controlled Yeast Production |
| 2021 | Apparatus and Method for Small-Scale Motion Sensing |
| 2021 | Photoacoustic Sensor |
| 2022 | Luminescent Materials for OLEDs |
| 2022 | Predictive Suppression of Electromagnetic Interference |
| 2023 | Passive Reflector for Reflecting a Radio Signal |
| 2023 | Cannabichromenic Acid Synthase Variants and Uses Thereof |
| 2024 | Cellular User Localization System: SMS Side-Channel Timing |
| 2024 | Sensor for Determining the Concentration of a Gas |
Visible Shift in Titles: 2013–2018 titles are dominated by metal forming, additive manufacturing, and power grid topics. 2019–2024 titles pivot toward sensors (photoacoustic, gas, motion sensing), biotechnology (cannabinoids, yeast production, DNA analysis), wireless communication (radio reflectors, localization), and new materials (OLEDs). The thematic evolution mirrors the IPC classification shift.
Methodology & Data Notes
Search strategy, data quality considerations, and a note on the DEPATISnet comparison.
Search Strategy
Applicant identification uses person_name matching in PATSTAT's tls206_person table. We do not rely on han_name (harmonized name) because PATSTAT's harmonization incorrectly maps most TU Dortmund variants to "TECHNISCHE UNIVERSITAT MUNCHEN". Our person_name patterns capture 12 distinct spelling variants covering both periods.
Applicant Name Variants Found (2013–2024)
Data table: Name Variants
| person_name in PATSTAT | Families |
|---|---|
| TECHNISCHE UNIVERSITAT DORTMUND | 94 |
| Technische Universitat Dortmund | 56 |
| Technische Universitat Dortmund, Koerperschaft des oeffentl. Rechts | 25 |
| TECHNISCHE UNIVERSITAET DORTMUND | 9 |
| TECHNISCHE UNIVERSITAT DORTMUND (no umlaut) | 3 |
| TECHNISCHE UNIVERSITU T DORTMUND | 2 |
| Technical University of Dortmund | 1 |
| TECHNISCHE UNIVERSITAT DORTMUND KOR | 1 |
| UNIV DORTMUND TECH | 1 |
| + 3 additional minor variants | 3 |
Inventor Name Harmonization
PATSTAT assigns multiple han_name values to the same inventor (e.g., Prof. Tekkaya appears under 4 distinct han_names). We manually consolidated known variants for the top inventors. Remaining inventors use han_name as-is, which may slightly undercount some.
Filing Year vs. Publication Year (DEPATISnet Comparison)
Important: This report counts patent families by filing year (when the application was submitted). DEPATISnet searches by publication year (when the document was published, typically 18 months later). For prolific inventors, this can create significant differences — e.g., Prof. Tekkaya has 5 families by filing year 2019–2024 in PATSTAT but 15 by publication year 2019–2024 in DEPATISnet, because 10 families filed in 2012–2018 were published in 2019+. Filing year is the standard metric for measuring inventive activity, as it reflects when the invention was made.
Family Counting
All counts use DOCDB patent families (docdb_family_id) to avoid double-counting the same invention across jurisdictions. For the period comparison dashboard, each family is assigned to its earliest filing year to ensure unique assignment (62 + 55 = 117, no overlap). Year-by-year tables use per-application filing years, so families with applications in both periods may appear in both.
Data Source & Limitations
- Data: EPO PATSTAT Global, Autumn 2025 Edition via Google BigQuery.
- Coverage: Utility patents only (design patents excluded). Applications with docdb_family_id > 0 (valid families only).
- Publication lag: PATSTAT Autumn 2025 has ~95% coverage through mid-2024. Data for 2024 should be considered preliminary.
- Exclusions: "Elmos" and "Goch" are excluded from applicant matching to avoid false positives from unrelated Dortmund entities.
Glossary — Patent Terms Explained
- Patentfamilie (DOCDB)
- Eine Gruppe von Patentanmeldungen, die dieselbe Erfindung in verschiedenen Laendern schuetzen. Wird einmal gezaehlt, um Doppelzaehlungen zu vermeiden.
- EP / WO / DE / US / CN / KR
- Patentamtskuerzel: EP = Europaeisches Patentamt, WO = International (PCT), DE = Deutschland (DPMA), US = Vereinigte Staaten, CN = China (CNIPA), KR = Korea (KIPO).
- IPC (Internationale Patentklassifikation)
- Ein hierarchisches System zur Klassifizierung von Patenten nach Technologiebereich, gepflegt von der WIPO.
- WIPO-Technologiefelder
- Eine Zuordnung von IPC-Codes zu 35 Technologiefeldern, definiert von der WIPO fuer uebergeordnete Technologieanalysen.
- han_name
- PATSTATs harmonisiertes Anmeldernamensfeld, das verschiedene Namensvarianten derselben Organisation zusammenfuehrt.
- PCT (Patent Cooperation Treaty)
- Internationaler Anmeldeweg, der eine einzelne Anmeldung als Basis fuer nationale/regionale Patentanmeldungen in 157 Mitgliedstaaten ermoeglicht.
- Co-Filing / Co-Anmeldung
- Eine Patentanmeldung mit mehr als einem Anmelder. Zeigt Zusammenarbeit zwischen Organisationen oder gemeinsames Eigentum an der Erfindung an.
- Grant Rate (Erteilungsrate)
- Anteil der Patentanmeldungen, die letztlich erteilt werden. Raten fuer juengere Jahre erscheinen niedrig, da die Pruefung 3–5 Jahre dauert.
- Excellence Start-Up Center (ESC)
- Gruendungsfoerderungszentrum der TU Dortmund, gestartet 2019, zur Unterstuetzung von Ausgruendungen und Technologietransfer.
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