Michael Travers
Impact in
- Human-Computer Interaction top 10%
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- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Enzyme Catalysis and Immobilization
Papers in
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- Microbial Metabolic Engineering and Bioproduction 2
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- Semantic Web and Ontologies 2
- Artificial Intelligence in Games 1
- Co-authors
- Peter D. Karp (3 shared papers)Tomer Altman (2 shared papers)Alan Borning (1 shared paper)Suzanne Paley (2 shared papers)Lukas A. Mueller (1 shared paper)Anuradha Pujar (1 shared paper)Pallavi Subhraveti (1 shared paper)A Kothari (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Database (1 paper)Nucleic Acids Research (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Travers
11 papers receiving 775 citations
Peers
Comparison fields: 5 of 127
- Human-Computer Interaction 54
- Molecular Biology 536
- Information Systems and Management 50
- Pollution 33
- Ecology 67
Countries citing papers authored by Michael Travers
This map shows the geographic impact of Michael Travers'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 Michael Travers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Travers more than expected).
Fields of papers citing papers by Michael Travers
This network shows the impact of papers produced by Michael Travers. 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 Michael Travers. The network helps show where Michael Travers may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Travers, 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 | 2011 | 457 | |
| 2 | 2013 | 118 | |
| 3 | 1991 | 80 | |
| 4 | 2011 | 67 | |
| 5 | 1989 | 30 | |
| 6 | 2004 | 26 | |
| 7 | 2013 | 17 | |
| 8 | 1994 | 13 | |
| 9 | A Brief Overview of the Narrative Intelligence Reading Group | 1999 | 3 |
| 10 | 1994 | 3 | |
| 11 | 1993 | 1 |
About Michael Travers
Michael Travers is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 11 papers that have together received 815 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Scientific Computing and Data Management (2 papers), Data Visualization and Analytics (2 papers), Complex Network Analysis Techniques (1 paper), Narrative Theory and Analysis (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Human-Computer Interaction (54 citations), Molecular Biology (536 citations), Information Systems and Management (50 citations), Pollution (33 citations) and Ecology (67 citations). Michael Travers has collaborated with scholars based in United States. Frequent co-authors include Peter D. Karp, Tomer Altman, Alan Borning, Suzanne Paley, Lukas A. Mueller, Anuradha Pujar, Pallavi Subhraveti, A Kothari, Rachel R Caspi and Mario Latendresse. Their work appears in journals such as BMC Bioinformatics, Database, Nucleic Acids Research, PLoS ONE and Bioinformatics.
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.