John P. Walsh
- Statistics, Probability and Uncertainty top 0.5%
- Management of Technology and Innovation top 2%
- Economics and Econometrics top 5%
- Information Systems and Management top 2%
- Sociology and Political Science top 10%
- Co-authors
- You-Na LeeJian WangWesley M. CohenStaša MilojevićFilippo RadicchiShaul M. GabbayRobert Cook‐DeeganMartín Kenney
- Topics
- scientometrics and bibliometrics research (7 papers)Team Dynamics and Performance (4 papers)Knowledge Management and Sharing (4 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement of Technology and InnovationInformation Systems and Management
- Partner nations
- United StatesJapanSingapore
In The Last Decade
John P. Walsh
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Statistics, Probability and Uncertainty 367
- Management of Technology and Innovation 241
- Economics and Econometrics 234
- Information Systems and Management 200
- Sociology and Political Science 182
Countries citing papers authored by John P. Walsh
This map shows the geographic impact of John P. Walsh'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 John P. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Walsh more than expected).
Fields of papers citing papers by John P. Walsh
This network shows the impact of papers produced by John P. Walsh. 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 John P. Walsh. The network helps show where John P. Walsh may publish in the future.
Co-authorship network of co-authors of John P. Walsh
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Walsh. A scholar is included among the top collaborators of John P. Walsh 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 John P. Walsh. John P. Walsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 68 | |
| 6 | 99 | |
| 7 | 65 | |
| 8 | 1 | |
| 9 | 35 | |
| 10 | 36 | |
| 11 | 75 | |
| 12 | 232 | |
| 13 | 12 | |
| 14 | Organizational Design of University Laboratories: Task Allocation and Lab Performance in Japanese Bioscience Laboratories | 3 |
| 15 | 67 | |
| 16 | 77 | |
| 17 | 37 | |
| 18 | 19 | |
| 19 | Signal Processing Aspects of Godot: A System for Computer-Aided Room Acoustics Modeling and Simulation | 2 |
| 20 | 3 |
About John P. Walsh
John P. Walsh is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Information Systems and Management, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (7 papers), Team Dynamics and Performance (4 papers) and Knowledge Management and Sharing (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (367 citations), Management of Technology and Innovation (241 citations) and Information Systems and Management (200 citations). John P. Walsh has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include You-Na Lee, Jian Wang, Wesley M. Cohen, Staša Milojević, Filippo Radicchi, Shaul M. Gabbay, Robert Cook‐Deegan, Martín Kenney, Timothy Caulfield and F. Scott Kieff. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.