Bruce Herr
Impact in
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- Scientific Computing and Data Management
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- Data Visualization and Analytics
Papers in
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- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
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- Data Visualization and Analytics 3
- Medical Image Segmentation Techniques 1
- Co-authors
- Katy Börner (8 shared papers)Edmund M. Talley (1 shared paper)Gully Burns (1 shared paper)David Newman (1 shared paper)Peter W. Rose (2 shared papers)Angela Rizk‐Jackson (2 shared papers)Armin Grün (1 shared paper)Andrew Vande Moere (1 shared paper)
- Journals
- AI Magazine (2 papers)Information Visualization (1 paper)Annals of the New York Academy of Sciences (1 paper)Frontiers in Research Metrics and Analytics (2 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Bruce Herr
8 papers receiving 74 citations
Peers
Comparison fields: 5 of 45
- Information Systems and Management 13
- Computer Vision and Pattern Recognition 25
- Geography, Planning and Development 5
- Statistical and Nonlinear Physics 10
- Computer Science Applications 4
Countries citing papers authored by Bruce Herr
This map shows the geographic impact of Bruce Herr'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 Bruce Herr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce Herr more than expected).
Fields of papers citing papers by Bruce Herr
This network shows the impact of papers produced by Bruce Herr. 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 Bruce Herr. The network helps show where Bruce Herr may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruce Herr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 26 | |
| 2 | 2009 | 20 | |
| 3 | 2007 | 14 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 1 | |
| 9 | CIShell -- A Plug-in Based Software Architecture and Its Usage to Design an Easy to Use, Easy to Extend Cyberinfrastructure for Network Scientists | 2006 | 1 |
About Bruce Herr
Bruce Herr is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Management, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 79 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Data Visualization and Analytics (3 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Semantic Web and Ontologies (2 papers), scientometrics and bibliometrics research (2 papers), Medical Image Segmentation Techniques (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Information Systems and Management (13 citations), Computer Vision and Pattern Recognition (25 citations), Geography, Planning and Development (5 citations), Statistical and Nonlinear Physics (10 citations) and Computer Science Applications (4 citations). Bruce Herr has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Katy Börner, Edmund M. Talley, Gully Burns, David Newman, Peter W. Rose, Angela Rizk‐Jackson, Armin Grün, Andrew Vande Moere, Martin J. Eppler and Mark A. Musen. Their work appears in journals such as AI Magazine, Information Visualization, Annals of the New York Academy of Sciences and Frontiers in Research Metrics and Analytics.
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.