Michael Travers
Impact in
- Human-Computer Interaction top 5%
- Usability and User Interface Design
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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
Papers in
-
- Artificial Intelligence in Games 2
- AI-based Problem Solving and Planning 1
- Co-authors
- Peter D. Karp (3 shared papers)Tomer Altman (2 shared papers)Alan H. Borning (1 shared paper)Suzanne Paley (2 shared papers)Markus Krummenacker (1 shared paper)CA Fulcher (1 shared paper)Anuradha Pujar (1 shared paper)Mario Latendresse (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)Database (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Travers
12 papers receiving 879 citations
Peers
Comparison fields: 5 of 133
- Human-Computer Interaction 60
- Molecular Biology 548
- Information Systems and Management 52
- Pollution 36
- Communication 21
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 | 503 | |
| 2 | 2013 | 129 | |
| 3 | 1991 | 96 | |
| 4 | 2011 | 76 | |
| 5 | 1989 | 32 | |
| 6 | 2004 | 29 | |
| 7 | 2013 | 20 | |
| 8 | Programming with agents: new metaphors for thinking about computation | 1996 | 16 |
| 9 | 1994 | 15 | |
| 10 | A Brief Overview of the Narrative Intelligence Reading Group | 1999 | 6 |
| 11 | 1993 | 2 | |
| 12 | 2003 | 2 |
About Michael Travers
Michael Travers is a scholar working on Information Systems and Management, Artificial Intelligence, Computer Vision and Pattern Recognition, Geography, Planning and Development and Computer Science Applications, having authored 12 papers that have together received 926 indexed citations. Recurring topics across this work include Data Visualization and Analytics (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Artificial Intelligence in Games (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Distributed and Parallel Computing Systems (1 paper), AI-based Problem Solving and Planning (1 paper), CAR-T cell therapy research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Human-Computer Interaction (60 citations), Molecular Biology (548 citations), Information Systems and Management (52 citations), Pollution (36 citations) and Communication (21 citations). Michael Travers has collaborated with scholars based in United States. Frequent co-authors include Peter D. Karp, Tomer Altman, Alan H. Borning, Suzanne Paley, Markus Krummenacker, CA Fulcher, Anuradha Pujar, Mario Latendresse, Rachel R Caspi and Lukas A. Mueller. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Bioinformatics, Database and BMC 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.