Keith Suderman

2.9k citations
33 papers · 466 · h-index 11

Impact in

Papers in

Keith Suderman

31 papers receiving 403 citations

Peers

Keith Suderman
Comparison fields: 5 of 56
  • Artificial Intelligence 349
  • Information Systems and Management 44
  • Language and Linguistics 54
  • Oceanography 46
  • Information Systems 58
Replace Yaniv Bernstein with:
Yaniv Bernstein Australia
Georgios Petasis Greece
Dieter Van Uytvanck Netherlands
Gil Francopoulo France
António Branco Portugal
Masato Hagiwara Japan
Atro Voutilainen Finland
Egon Stemle Italy
Ritesh Kumar India
Keith Suderman relative to Yaniv Bernstein Australia Yaniv Bernstein's profile →
Citations per field
00.5×10×13.5×
Yaniv Bernstein · 1×
Citations per year

Countries citing papers authored by Keith Suderman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Keith Suderman Line = papers co-authored together Keith Suderman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007131
2 200459
3 200336
4 201436
5 200230
6 201423
7 200616
8 201616
9 200914
10 200412
11 201612
12 200410
13 20109
14 20069
15 19988
16 20148
17 20126
18 20195
19
Enhancing Access to Media Collections and Archives Using Computational Linguistic Tools.
20175
20 20184

About Keith Suderman

Keith Suderman is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Computer Networks and Communications and Molecular Biology, having authored 33 papers that have together received 466 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (12 papers), Scientific Computing and Data Management (7 papers), Topic Modeling (6 papers), Distributed and Parallel Computing Systems (6 papers), Marine Biology and Ecology Research (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Artificial Intelligence (349 citations), Information Systems and Management (44 citations), Language and Linguistics (54 citations), Oceanography (46 citations) and Information Systems (58 citations). Keith Suderman has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Nancy Ide, David Thistle, James Pustejovsky, Marc Verhagen, Randi Reppen, Eric Nyberg, Christopher Cieri, Jin-Dong Kim, Jonathan Wright and Kay Vopel. Their work appears in journals such as Language Resources and Evaluation, Marine Pollution Bulletin, Bioinformatics, Marine Ecology and Environmental Toxicology and Chemistry.

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.

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