David James Brunner

504 total citations
6 papers, 337 citations indexed

About

David James Brunner is a scholar working on Artificial Intelligence, Strategy and Management and Management Information Systems. According to data from OpenAlex, David James Brunner has authored 6 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Strategy and Management and 1 paper in Management Information Systems. Recurrent topics in David James Brunner's work include Adversarial Robustness in Machine Learning (2 papers), Innovation and Knowledge Management (2 papers) and Natural Language Processing Techniques (1 paper). David James Brunner is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Innovation and Knowledge Management (2 papers) and Natural Language Processing Techniques (1 paper). David James Brunner collaborates with scholars based in Austria, United Kingdom and United States. David James Brunner's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Operations Management and Procedia Computer Science.

In The Last Decade

David James Brunner

6 papers receiving 317 citations

Peers

David James Brunner

MIS

SM

MSOR

IME

MTI

Farhad Panahifar Iran

V.H.Y. Lo Hong Kong

Mohammad Aghdasi Iran

Marc Antoni France

Fehmi Tanrısever Türkiye

Masaaki Imai

Batuhan Kocaoğlu Türkiye

Mazaher Ghorbani Iran

R. Ufuk Bilsel United States

Ahmad Elshennawy United States

Farhad Panahifar Iran

David James Brunner

236 ×1.1

MIS

235 ×1.5

SM

42 ×0.7

MSOR

44 ×0.8

IME

32 ×0.9

MTI

Citations per year, relative to David James Brunner David James Brunner (= 1×) peers Farhad Panahifar

Countries citing papers authored by David James Brunner

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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6 of 6 papers shown

1.

Ankolekar, Anupriya, et al.. (2024). Can LLMs Answer Investment Banking Questions? Using Domain-Tuned Functions to Improve LLM Performance on Knowledge-Intensive Analytical Tasks. Proceedings of the AAAI Symposium Series. 3(1). 125–133. 7 indexed citations

2.

Zellinger, Werner, Mohit Kumar, David James Brunner, et al.. (2021). Beyond federated learning: On confidentiality-critical machine learning applications in industry. Procedia Computer Science. 180. 734–743. 14 indexed citations

3.

Fischer, Lukas, Lisa Ehrlinger, Verena Geist, et al.. (2020). AI System Engineering—Key Challenges and Lessons Learned. SHILAP Revista de lepidopterología. 3(1). 56–83. 29 indexed citations

4.

Staats, Bradley R., David James Brunner, & David M. Upton. (2010). Lean principles, learning, and knowledge work: Evidence from a software services provider. Journal of Operations Management. 29(5). 376–390. 272 indexed citations

5.

Brunner, David James, Bradley R. Staats, Michael L. Tushman, & David M. Upton. (2010). Wellsprings of Creation: How Perturbation Sustains Exploration in Mature Organizations. SSRN Electronic Journal. 14 indexed citations

6.

Brunner, David James, et al.. (2006). Information Technology and the Growth of the Firm: A Process Theory Perspective. 19(8). 1163–5. 1 indexed citations

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.

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