Scott Markel
Impact in
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- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 3
- Biomedical Text Mining and Ontologies 2
- Genomics and Phylogenetic Studies 1
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- Semantic Web and Ontologies 1
- Neural Networks and Applications 1
- Co-authors
- A. John Mallinckrodt (1 shared paper)P. Keller (1 shared paper)Susan McKay (1 shared paper)H N Christensen (1 shared paper)David H. Thompson (1 shared paper)M. M. Sidky (1 shared paper)Andrea Splendiani (1 shared paper)Charles Fefferman (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (1 paper)Journal of Biomedical Semantics (1 paper)Experimental Biology and Medicine (1 paper)Computers in Physics (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Scott Markel
9 papers receiving 111 citations
Peers
Comparison fields: 5 of 63
- Computer Graphics and Computer-Aided Design 12
- Computer Vision and Pattern Recognition 47
- Geography, Planning and Development 10
- Signal Processing 14
- Artificial Intelligence 34
Countries citing papers authored by Scott Markel
This map shows the geographic impact of Scott Markel'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 Scott Markel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Markel more than expected).
Fields of papers citing papers by Scott Markel
This network shows the impact of papers produced by Scott Markel. 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 Scott Markel. The network helps show where Scott Markel may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Markel, 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 | 1994 | 69 | |
| 2 | 2017 | 20 | |
| 3 | 1958 | 12 | |
| 4 | 2006 | 10 | |
| 5 | 2016 | 4 | |
| 6 | Recovering a Feed-Forward Net From Its Output | 1993 | 3 |
| 7 | Sequence Analysis in a Nutshell: A Guide to Tools and Databases | 2003 | 2 |
| 8 | Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases | 2003 | 2 |
| 9 | 2012 | 2 | |
| 10 | 2009 | 1 |
About Scott Markel
Scott Markel is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Health Information Management and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 125 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (3 papers), Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (1 paper), Metabolism and Genetic Disorders (1 paper), Computational Drug Discovery Methods (1 paper), Neural Networks and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (12 citations), Computer Vision and Pattern Recognition (47 citations), Geography, Planning and Development (10 citations), Signal Processing (14 citations) and Artificial Intelligence (34 citations). Scott Markel has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include A. John Mallinckrodt, P. Keller, Susan McKay, H N Christensen, David H. Thompson, M. M. Sidky, Andrea Splendiani, Charles Fefferman, Martin C. Koch and Arild Waaler. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Journal of Biomedical Semantics, Experimental Biology and Medicine and Computers in Physics.
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.