TU Dortmund — Patent Portfolio Analysis 2019-2024
Analysis of the patent portfolio of Technische Universitat Dortmund — 58 patent families, 116 applications across 8 patent offices, with notable strengths in measurement/sensors, telecommunications, and chemistry/biotechnology. Unusually international for a German university with a 50% PCT filing rate and 2.0 applications per family.
Executive Summary
TU Dortmund maintains a remarkably consistent and internationally oriented patent portfolio of 58 families (116 applications) from 2019 to 2024. The university stands out among German universities with a 50% PCT filing rate and 2.0 applications per family, indicating strong commercialization intent.
Sensor & Measurement Hub
Measurement technology leads with 16 families (28%), driven by IPC G01N (material testing, 11 families) and G01R (electrical measurement, 5). This reflects strong analytical instrumentation research.
Telecom Innovation
Telecommunications (7 families) including wireless networks (H04W) and antenna technology (H01Q) form a distinct cluster, likely linked to the Communications Networks Institute led by Christian Wietfeld.
Chemistry & Biotech
Chemistry/biotechnology (15 families across organic chemistry, biotechnology, basic materials, and chemical engineering) reveals a strong life sciences component alongside the engineering portfolio.
Diverse Partnerships
Max-Planck-Gesellschaft is the top partner (2 families), but the collaboration network is remarkably broad: Uni Duisburg-Essen, TU Dresden, Fraunhofer, Bayer, NYU Abu Dhabi, and Northeastern University.
Filing Trend 2019-2024
Annual patent families and applications for TU Dortmund.
TU Dortmund shows exceptional filing consistency: 13-16 families per year across the entire period. Unlike TU Chemnitz, there was no visible COVID dip in 2020 (14 families, vs. 15 in 2019). The application count peaked at 23 in 2022, reflecting higher internationalization that year. The 2024 decrease (11 families) is primarily due to the PATSTAT publication delay.
Data table: Annual Filing Activity 2019-2024
| Year | Families | Applications | Apps/Family |
|---|---|---|---|
| 2019 | 15 | 21 | 1.40 |
| 2020 | 14 | 22 | 1.57 |
| 2021 | 13 | 17 | 1.31 |
| 2022 | 15 | 23 | 1.53 |
| 2023 | 16 | 21 | 1.31 |
| 2024* | 11 | 12 | 1.09 |
* 2023-2024: Data may be incomplete due to the ~18-month publication delay (PATSTAT Autumn 2025 Edition).
Technology Profile (WIPO 35)
TU Dortmund patent portfolio mapped to WIPO's 35 technology fields.
TU Dortmund's portfolio is unusually balanced across 14+ WIPO technology fields. No single field exceeds 28% (Measurement). Four technology clusters emerge: (1) Sensors/Measurement (16 families), (2) Telecommunications/Digital (11), (3) Chemistry/Biotech (15 across four fields), and (4) Mechanical engineering (9). This breadth reflects TU Dortmund's character as a full technical university, not a specialist institution.
IPC Subclass Analysis
Top IPC subclasses in TU Dortmund's patent portfolio.
G01N (material testing and investigation, 11 families) is the dominant IPC subclass, consistent with Dortmund's strength in analytical instrumentation. The telecom cluster (H04B + H04W + H01Q, 11 families) spans transmission systems, wireless networks, and antenna technology. Life sciences (C12N microorganisms, C07D heterocyclic compounds, A01N biocides) totals 10 families, forming a significant chemical/biotech pillar.
Data table: IPC Subclass Distribution
| IPC Code | Description | Families |
|---|---|---|
| G01N | Investigating/analysing materials | 11 |
| H04B | Transmission | 6 |
| G01R | Measuring electric variables | 5 |
| C12N | Microorganisms, enzymes | 5 |
| B29C | Shaping/joining of plastics | 4 |
| H02M | Power conversion | 3 |
| H04W | Wireless communication networks | 3 |
| C07D | Heterocyclic compounds | 3 |
| G06F | Electric digital data processing | 3 |
| H01Q | Antennas | 2 |
| G06Q | Business/management IT | 2 |
| A01N | Preservation of bodies (biocides) | 2 |
| B81B | Microstructural devices | 2 |
| C09K | Materials for applications | 2 |
| C12P | Fermentation processes | 2 |
Geographic Filing Strategy
Distribution of patent applications by patent office.
Data table: Applications by Office
| Office | Applications | Share |
|---|---|---|
| DPMA (DE) | 42 | 36.2% |
| PCT (WO) | 29 | 25.0% |
| EPO (EP) | 27 | 23.3% |
| USPTO (US) | 13 | 11.2% |
| CNIPA (CN) | 2 | 1.7% |
| KIPO (KR) | 1 | 0.9% |
| CIPO (CA) | 1 | 0.9% |
| ILPO (IL) | 1 | 0.9% |
TU Dortmund is unusually international for a German university: 50% of families use the PCT route, compared to only 30% at TU Chemnitz. The EP share (23%) and US filings (11%) are also above typical university levels. The Israel filing (ILPO) is notable and likely connected to the NYU Abu Dhabi collaboration visible in the co-application data. This internationalization pattern suggests strong technology transfer office activity and commercial licensing potential.
Collaborations
Co-applications (nb_applicants > 1) reveal R&D partnerships.
Data table: Collaboration Partners
| Partner | Type | Country | Joint Families |
|---|---|---|---|
| Max-Planck-Gesellschaft | Research institute | DE | 2 |
| Universitat Duisburg-Essen | University | DE | 2 |
| TU Dresden | University | DE | 2 |
| Fraunhofer-Gesellschaft | Research institute | DE | 1 |
| Bayer AG | Industry | DE | 1 |
| TRUMPF Werkzeugmaschinen | Industry | DE | 1 |
| GDS Prazisionszerspanungs GmbH | Industry (SME) | DE | 1 |
| Hochschule Hamm-Lippstadt | University | DE | 1 |
| Northeastern University | University | US | 1 |
| NYU Abu Dhabi Corporation | University | AE | 1 |
TU Dortmund's collaboration network is remarkably diverse for a mid-sized university. The partner spectrum spans Max-Planck (basic research), Fraunhofer (applied research), DAX companies (Bayer, TRUMPF), regional universities (Duisburg-Essen, Hamm-Lippstadt), and international institutions (Northeastern University, NYU Abu Dhabi). This breadth correlates with the high PCT rate and suggests the technology transfer office actively pursues international commercial partnerships.
Top Inventors
Most prolific inventors on TU Dortmund patent families, 2019-2024.
The inventor base is broadly distributed: no single inventor dominates with more than 6 families. Stefan Palzer (6 families) and Stefan Bocker (~6 including name variants) lead. Christian Wietfeld (3 families) is identifiable as the telecommunications cluster lead. A. Erman Tekkaya (3 families) represents the Institute of Forming Technology. This flat distribution across 9+ inventors with 2+ families each indicates broad-based innovation activity.
Data table: Top Inventors
| Inventor | Families | Likely Research Area |
|---|---|---|
| Stefan Palzer | 6 | Particle technology/food engineering |
| Stefan Bocker | ~6 | Power electronics |
| Stephan Frei | 4 | EMC/high-frequency electronics |
| Christian Wietfeld | 3 | Telecommunications/wireless networks |
| Oliver Hering | 3 | Forming technology |
| Andreas Brummer | 3 | Fluid power/compressors |
| A. Erman Tekkaya | 3 | Forming technology |
| Markus Thommes | 3 | Process engineering |
| Alexander Behr | 2 | Chemical engineering/catalysis |
Note: Inventor name variants have been manually consolidated. Counts are approximate.
Methodology
Data sources, applicant identification, and known limitations.
Data Source
EPO PATSTAT Global, Autumn 2025 Edition, accessed via Google Cloud BigQuery (project: patstat-mtc, dataset: patstat). Analysis date: February 2026.
Applicant Identification
TU Dortmund was identified via person_name containing both "DORTMUND" and "UNIV" (case-insensitive). This captures variants like "Technische Universitat Dortmund", "TU Dortmund University", etc. Applicants only (applt_seq_nr > 0), not inventors.
Counting Methodology
Primary counting unit: DOCDB patent families (docdb_family_id) to avoid double-counting. Year = filing year (appln_filing_year). Utility models and design patents excluded (ipr_type = 'PI').
Stack
PATSTAT BigQuery + patstat-mcp (custom MCP server) + Claude AI for analysis and visualization. All SQL queries are included and reproducible.
Scope Limitations
- 2023-2024 data is incomplete due to the ~18-month publication delay (PATSTAT Autumn 2025 Edition).
- Patents filed solely by individual professors (without university as applicant) are not captured.
- The search may include "Fachhochschule Dortmund" or other Dortmund-based institutions if their name contains both "DORTMUND" and "UNIV" — manual verification recommended.
- The 6-year window (2019-2024) provides a snapshot but is too short for long-term trend analysis.
- PATSTAT's
han_nameharmonization may merge or split entities incorrectly in edge cases.
Glossary — Patent Terms Explained
- Patent Family (DOCDB)
- A group of patent applications that protect the same invention across different countries. Counted once to avoid double-counting.
- EP / WO / DE / US / CN / KR
- Patent office codes: EP = European Patent Office, WO = International (PCT), DE = Germany (DPMA), US = United States, CN = China (CNIPA), KR = Korea (KIPO).
- IPC (International Patent Classification)
- A hierarchical system for classifying patents by technology area, maintained by WIPO. Used for detailed technology analysis.
- WIPO Technology Fields
- A mapping of IPC codes to 35 technology fields defined by WIPO, used for high-level technology area analysis.
- han_name
- PATSTAT's harmonized applicant name field, used to consolidate different name variants of the same entity.
- PCT (Patent Cooperation Treaty)
- International filing route allowing a single application to be used as the basis for national/regional patent applications in 157 member states.
- Co-Filing / Co-Application
- A patent application with more than one applicant. Indicates collaboration between organizations or joint ownership of the invention.
- Grant Rate
- Percentage of patent applications that are ultimately granted. Rates for recent years appear low because examination takes 3-5 years.
All SQL queries and the complete data basis are available for download.
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This report was built with a fully reproducible pipeline: EPO PATSTAT Global on BigQuery, a custom MCP server, and Claude AI for analysis and visualization. Everything is open and auditable — the SQL queries are included.