William J. Bug
Impact in
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
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- Scientific Computing and Data Management 4
-
- Cell Image Analysis Techniques 2
- Co-authors
- Alan Ruttenberg (2 shared papers)Philippe Rocca‐Serra (1 shared paper)Patricia L. Whetzel (1 shared paper)Jonathan Bard (1 shared paper)Karen L Eilbeck (1 shared paper)Susanna‐Assunta Sansone (1 shared paper)Chris Mungall (1 shared paper)Nigam Haresh Shah (1 shared paper)
- Journals
- Neuroinformatics (5 papers)BMC Bioinformatics (2 papers)Journal of Neurochemistry (1 paper)PLoS ONE (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
William J. Bug
14 papers receiving 2.4k citations
William J. Bug's Hit Papers
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 885
- Molecular Biology 1.6k
- Information Systems and Management 218
- Health Information Management 133
- Information Systems 355
Countries citing papers authored by William J. Bug
This map shows the geographic impact of William J. Bug'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 William J. Bug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Bug more than expected).
Fields of papers citing papers by William J. Bug
This network shows the impact of papers produced by William J. Bug. 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 William J. Bug. The network helps show where William J. Bug may publish in the future.
Co-authors
The 25 scholars most cited alongside William J. Bug, 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 | The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration Hit paper breakdown → | 2007 | 1906 |
| 2 | 2007 | 250 | |
| 3 | 2008 | 169 | |
| 4 | 2008 | 124 | |
| 5 | 2008 | 54 | |
| 6 | 2008 | 26 | |
| 7 | The OWL of Biomedical Investigations. | 2008 | 21 |
| 8 | 2007 | 16 | |
| 9 | 1986 | 11 | |
| 10 | 2003 | 8 | |
| 11 | An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy. | 2007 | 7 |
| 12 | 2005 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2007 | 2 |
About William J. Bug
William J. Bug is a scholar working on Information Systems and Management, Biophysics, Molecular Biology, Artificial Intelligence and Information Systems, having authored 14 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (4 papers), Scientific Computing and Data Management (4 papers), Research Data Management Practices (3 papers), Medical Image Segmentation Techniques (2 papers), Cell Image Analysis Techniques (2 papers), scientometrics and bibliometrics research (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (885 citations), Molecular Biology (1.6k citations), Information Systems and Management (218 citations), Health Information Management (133 citations) and Information Systems (355 citations). William J. Bug has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alan Ruttenberg, Philippe Rocca‐Serra, Patricia L. Whetzel, Jonathan Bard, Karen L Eilbeck, Susanna‐Assunta Sansone, Chris Mungall, Nigam Haresh Shah, Neocles B. Leontis and Suzanna Lewis. Their work appears in journals such as Neuroinformatics, BMC Bioinformatics, Journal of Neurochemistry, PLoS ONE 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.