Skip to main content

Technische Universität Dortmund

Patent Portfolio in Transition — A Comparative Analysis of Two Eras: Pre- and Post-Excellence Start-Up Center (2013–2024)

Data: EPO PATSTAT Global, Autumn 2025 Period: 2013–2024 Created: February 2026 Author: mtc.berlin
117
Patent Families
62 + 55
235
Applications
119 + 116
45%
PCT Rate
40% → 51%
10
Filing Offices
7 → 10
23
Co-Applications
13 → 10

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
201391324
2014151845
2015132017
2016172136
2017222528
2018172226
Avg. 2013–2018: 15.5 / 19.8 / 2.3 / 6.0
2019152125
2020142243
2021131721
2022152342
2023162122
2024*111231
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 Families62
Applications119
PCT Rate40.3%
EP Coverage58.1%
US Coverage16.1%
Co-Filing Rate21.0%
Grant Rate51.6%
Avg. Apps/Family2.0

2019–2024

Patent Families55
Applications116
PCT Rate50.9%
EP Coverage38.2%
US Coverage16.4%
Co-Filing Rate18.2%
Grant Rate16.4%*
Avg. Apps/Family2.0

* 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 Engineering2914-52%
Chemistry2120-5%
Electrical Engineering1819+6%
Instruments1320+54%
Other Fields12+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
B21DSheet Metal Working17219-88%
G01NInvestigating/Analysing Materials41115+175%
B29CPlastics Shaping8412-50%
H04BTransmission (Telecom)469+50%
G01RMeasuring Electric Variables358+67%
C12NMicroorganisms/Enzymes256+150%
B33YAdditive Manufacturing415-75%
C07DHeterocyclic Compounds335stable
G06FDigital Data Processing235+50%
B21CMetal Sheets/Wire Manufacture325-33%
B01JCatalysis/Colloid Chemistry325-33%
H04WWireless Communication134+200%
H02MPower Conversion033NEW
H02JElectric Power Networks314-67%
G05BControl Systems123+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. Erman205254 variants
Wietfeld, Christian3363 variants
Frei, Stephan246
Tiller, Joerg Christian5162 variants
Rehtanz, Christian5052 variants
Gies, Soeren505
Palzer, Stefan055NEW
Meya, Rickmer404
Katzenberg, Frank314
Kuenne, Bernd404
Ben Khalifa, Noomane3142 variants
Boecker, Stefan033NEW
Thommes, Markus033NEW
Hering, Oliver033NEW
Bruemmer, Andreas033NEW
Kockmann, Norbert123
Brunschweiger, Andreas2132 variants
Klika Skopic, Mateja2132 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)474390stable
EP (EPO)382765-29%
WO (PCT)242953+21%
US (USPTO)71219+71%
CN (CNIPA)022NEW
CA (CIPO)112stable
Others (FR, LU, IL, KR)224stable

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-Essen112University
Max-Planck-Gesellschaft022Research (NEW)
Fraunhofer-Gesellschaft011Research (NEW)
TU Dresden011University (NEW)
Bayer AG011Industry (NEW)
Northeastern University (US)011International (NEW)
TRUMPF Werkzeugmaschinen011Industry (NEW)
Karlsruher Institut fuer Technologie101University
Leibniz-Institut ISAS101Research
Ernst-Moritz-Arndt-Universitaet Greifswald101University
Astrol Electronic AG101Industry
ZBT GmbH (Brennstoffzellentechnik)101Research

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)47714.9%43511.6%*
EP (EPO)382257.9%27311.1%*
US (USPTO)7571.4%12433.3%*

* 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
1Hybrid Simulation of Power Electronics and Power Systems201345
2Optical Free-Space Transmission201433
3Combined Production of Components by Sheet Forming & Additive Manufacturing201431
4Three-Dimensional Additive Printing Operations201426
5Method for Monitoring Airspace201423
6Hydrogen Production by Thermal Decomposition201320
7Frequency Stability Control for Transmission Grids201819
8DNA-Encoded Chemical Library201513
9Derivatized Silicon Dioxide Nanoparticles201513
10Incremental Production of Bent Profiles201712

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
2013Hybrid Simulation of Power Electronics and Power Systems
2014Method and Apparatus for the Incremental Production of Bent Profiles
2014Plenoptic Imaging Method
2015DNA-Encoded Chemical Library, Use Thereof and Method to Screen
2015Method for Monitoring Airspace
2015Optical Free-Space Transmission
2016Hydrogel Composite Material
2016In Situ Separation of Amphipathic Compound by Foam Adsorption
2017Synthesis of DNA-Encoded Libraries by Micellar Catalysis
2017Communication System in a Current Supply Grid
2018Biotechnological Production of Cannabinoids
2018Fault Diagnosis in an Electric Network

2019–2024 Highlights

Year Title
2019Biotechnological Production of Cannabinoids
2019Method for Determining 5-Methylcytosine Configurations in DNA
2020Energy Management System for Batch Production Processes
2020Method for Controlled Yeast Production
2021Apparatus and Method for Small-Scale Motion Sensing
2021Photoacoustic Sensor
2022Luminescent Materials for OLEDs
2022Predictive Suppression of Electromagnetic Interference
2023Passive Reflector for Reflecting a Radio Signal
2023Cannabichromenic Acid Synthase Variants and Uses Thereof
2024Cellular User Localization System: SMS Side-Channel Timing
2024Sensor 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 DORTMUND94
Technische Universitat Dortmund56
Technische Universitat Dortmund, Koerperschaft des oeffentl. Rechts25
TECHNISCHE UNIVERSITAET DORTMUND9
TECHNISCHE UNIVERSITAT DORTMUND (no umlaut)3
TECHNISCHE UNIVERSITU T DORTMUND2
Technical University of Dortmund1
TECHNISCHE UNIVERSITAT DORTMUND KOR1
UNIV DORTMUND TECH1
+ 3 additional minor variants3

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.

Alle SQL-Queries und die vollstaendige Datenbasis stehen zum Download bereit.

Gefällt Ihnen, was Sie sehen?

Dieser Report wurde mit einer vollständig reproduzierbaren Pipeline erstellt: EPO PATSTAT Global auf BigQuery, ein eigener MCP-Server und Claude AI für Analyse und Visualisierung. Alles ist offen und nachvollziehbar — die SQL-Queries sind enthalten.

Individueller Patent-ReportBenötigen Sie eine ähnliche Analyse für Ihren Technologiebereich, Ihr Unternehmen oder Ihre Forschungsfrage? Wir erstellen maßgeschneiderte Patent-Intelligence-Reports.
Die ToolchainMöchten Sie eigene KI-gestützte Patentanalysen durchführen? Wir helfen Ihnen beim Aufbau von PATSTAT auf BigQuery mit MCP-Server-Integration.