Tom Magerman
- Management of Technology and Innovation top 2%
- Economics and Econometrics top 10%
- Strategy and Management top 10%
- Statistics, Probability and Uncertainty top 10%
- Management Science and Operations Research
- Co-authors
- Bart Van LooyKoenraad DebackereBart BaesensJulie CallaertBart PeetersReinhilde VeugelersMartin MeyerWolfgang Glänzel
- Topics
- Intellectual Property and Patents (9 papers)Innovation Policy and R&D (5 papers)Biomedical Text Mining and Ontologies (3 papers)
- Journals
- Research PolicyScientometricsData Archiving and Networked Services (DANS)
In The Last Decade
Tom Magerman
16 papers receiving 269 citations
Peers
Comparison fields: 5 of 56
- Management of Technology and Innovation 169
- Economics and Econometrics 150
- Strategy and Management 81
- Statistics, Probability and Uncertainty 35
- Management Science and Operations Research 32
Countries citing papers authored by Tom Magerman
This map shows the geographic impact of Tom Magerman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Magerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Magerman more than expected).
Fields of papers citing papers by Tom Magerman
This network shows the impact of papers produced by Tom Magerman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Magerman. The network helps show where Tom Magerman may publish in the future.
Co-authorship network of co-authors of Tom Magerman
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Magerman. A scholar is included among the top collaborators of Tom Magerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Magerman. Tom Magerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 8 | |
| 3 | Patent statistics at Eurostat: Methods for regionalisation, sector allocation and name harmonisation | 13 |
| 4 | 13 | |
| 5 | Impact and consequences of science-intensive patenting: In search of anti-commons evidence using Latent Semantic Analysis (LSA) text mining techniques. | 2 |
| 6 | In search of anti-commons, patent-paper pairs in biotechnology, an analysis of citation flows | 5 |
| 7 | Assessment of Latent Semantic Analysis (LSA) text mining algorithms for large scale mapping of patent and scientific publication documents | 7 |
| 8 | 69 | |
| 9 | 1 | |
| 10 | 40 | |
| 11 | 41 | |
| 12 | 7 | |
| 13 | 37 | |
| 14 | Vlaams indicatorenboek wetenschap, technologie en innovatie | 4 |
| 15 | Assessing academic patent activity: the case of Flanders | 4 |
| 16 | Domain Study 'Biotechnology' | 2 |
About Tom Magerman
Tom Magerman is a scholar working on Management of Technology and Innovation, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Intellectual Property and Patents (9 papers), Innovation Policy and R&D (5 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Management of Technology and Innovation (169 citations), Strategy and Management (81 citations) and Economics and Econometrics (150 citations). Tom Magerman has collaborated with scholars based in Belgium, China and Spain. Frequent co-authors include Bart Van Looy, Koenraad Debackere, Bart Baesens, Julie Callaert, Bart Peeters, Reinhilde Veugelers, Martin Meyer, Wolfgang Glänzel, Kris Aerts and Arnold Verbeek. Their work appears in journals such as Research Policy, Scientometrics and Data Archiving and Networked Services (DANS).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.