Keith Suderman
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Linguistic Studies and Language Acquisition
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- Scientific Computing and Data Management
Papers in
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- Natural Language Processing Techniques 22
- Linguistic Studies and Language Acquisition 5
- Semantic Web and Ontologies 3
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- Scientific Computing and Data Management 6
- Co-authors
- Nancy Ide (27 shared papers)James D. Pustejovsky (10 shared papers)Marc Verhagen (9 shared papers)Randi Reppen (2 shared papers)Eric Nyberg (2 shared papers)Christopher Cieri (2 shared papers)Di Wang (1 shared paper)Jin-Dong Kim (3 shared papers)
- Journals
- Language Resources and Evaluation (10 papers)Nucleic Acids Research (3 papers)Environmental Toxicology and Chemistry (1 paper)Cell Genomics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Keith Suderman
31 papers receiving 1.6k citations
Keith Suderman's Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 325
- Information Systems and Management 88
- Molecular Biology 515
- Endocrinology 29
- Molecular Medicine 38
Countries citing papers authored by Keith Suderman
This map shows the geographic impact of Keith Suderman'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 Keith Suderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Suderman more than expected).
Fields of papers citing papers by Keith Suderman
This network shows the impact of papers produced by Keith Suderman. 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 Keith Suderman. The network helps show where Keith Suderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Suderman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update Hit paper breakdown → | 2022 | 761 |
| 2 | The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update Hit paper breakdown → | 2024 | 413 |
| 3 | 2007 | 129 | |
| 4 | 2022 | 90 | |
| 5 | 2004 | 62 | |
| 6 | 2014 | 36 | |
| 7 | 2002 | 27 | |
| 8 | 2014 | 21 | |
| 9 | 2006 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2009 | 16 | |
| 12 | 2016 | 12 | |
| 13 | 2006 | 11 | |
| 14 | 2010 | 10 | |
| 15 | 2014 | 8 | |
| 16 | 2012 | 6 | |
| 17 | Enhancing Access to Media Collections and Archives Using Computational Linguistic Tools. | 2017 | 5 |
| 18 | 2019 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2016 | 3 |
About Keith Suderman
Keith Suderman is a scholar working on Artificial Intelligence, Information Systems and Management, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Scientific Computing and Data Management (6 papers), Biomedical Text Mining and Ontologies (5 papers), Linguistic Studies and Language Acquisition (5 papers), Distributed and Parallel Computing Systems (3 papers), Semantic Web and Ontologies (3 papers), Service-Oriented Architecture and Web Services (2 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Artificial Intelligence (325 citations), Information Systems and Management (88 citations), Molecular Biology (515 citations), Endocrinology (29 citations) and Molecular Medicine (38 citations). Keith Suderman has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Nancy Ide, James D. Pustejovsky, Marc Verhagen, Randi Reppen, Eric Nyberg, Christopher Cieri, Di Wang, Jin-Dong Kim, Jonathan Wright and David Thistle. Their work appears in journals such as Language Resources and Evaluation, Nucleic Acids Research, Environmental Toxicology and Chemistry, Cell Genomics 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.