David James Brunner
- Management Information Systems top 5%
- Strategy and Management top 5%
- Management Science and Operations Research top 10%
- Industrial and Manufacturing Engineering top 10%
- Management of Technology and Innovation top 10%
- Co-authors
- Bradley R. StaatsDavid M. UptonWerner ZellingerMohit KumarLukas FischerMichael L. TushmanLisa EhrlingerVerena Geist
- Topics
- Adversarial Robustness in Machine Learning (2 papers)Innovation and Knowledge Management (2 papers)Natural Language Processing Techniques (1 paper)
- Cited by
- Management Information SystemsStrategy and ManagementManagement of Technology and Innovation
- Journals
- SHILAP Revista de lepidopterologíaJournal of Operations ManagementProcedia Computer Science
- Partner nations
- AustriaUnited KingdomUnited States
In The Last Decade
David James Brunner
6 papers receiving 317 citations
Peers
Comparison fields: 5 of 64
- Management Information Systems 215
- Strategy and Management 158
- Management Science and Operations Research 60
- Industrial and Manufacturing Engineering 52
- Management of Technology and Innovation 37
Countries citing papers authored by David James Brunner
This map shows the geographic impact of David James Brunner'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 David James Brunner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David James Brunner more than expected).
Fields of papers citing papers by David James Brunner
This network shows the impact of papers produced by David James Brunner. 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 David James Brunner. The network helps show where David James Brunner may publish in the future.
Co-authorship network of co-authors of David James Brunner
This figure shows the co-authorship network connecting the top 25 collaborators of David James Brunner. A scholar is included among the top collaborators of David James Brunner 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 David James Brunner. David James Brunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 29 | |
| 4 | 272 | |
| 5 | 14 | |
| 6 | 1 |
About David James Brunner
David James Brunner is a scholar working on Computer Science Applications, Strategy and Management and Safety Research, having authored 6 papers that have together received 337 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (2 papers), Innovation and Knowledge Management (2 papers) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Management Information Systems (215 citations), Strategy and Management (158 citations) and Management of Technology and Innovation (37 citations). David James Brunner has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Bradley R. Staats, David M. Upton, Werner Zellinger, Mohit Kumar, Lukas Fischer, Michael L. Tushman, Lisa Ehrlinger, Verena Geist, Rudolf Ramler and Anupriya Ankolekar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Operations Management and Procedia Computer Science.
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.