Keith C. Wright

1.0k citations
23 papers · 687 · h-index 10

Impact in

Papers in

Keith C. Wright

21 papers receiving 675 citations

Peers

Keith C. Wright
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 168
  • Cardiology and Cardiovascular Medicine 199
  • Artificial Intelligence 189
  • Rehabilitation 18
  • Neurology 20
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Sunwon Lee South Korea
Pierre Cau France
Antoine Lizée United States
Ryo Takemura Japan
Julie Xian United States
Zhigang Liang China
Bence Ágg Hungary
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Chunguang Li China
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Citations per field
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Citations per year

Countries citing papers authored by Keith C. Wright

Since Specialization
Citations

This map shows the geographic impact of Keith C. Wright'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 C. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith C. Wright more than expected).

Fields of papers citing papers by Keith C. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith C. Wright. 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 C. Wright. The network helps show where Keith C. Wright may publish in the future.

Co-authors

The 25 scholars most cited alongside Keith C. Wright, 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 C. Wright Line = papers co-authored together Keith C. Wright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016196
2 1989110
3 2016109
4 198967
5 201757
6 200249
7 201724
8 200016
9 201010
10 201910
11 19817
12 20216
13
A Survey of Information Systems Development Project Performance
20115
14
Inductive inference of pattern languages
19895
15 19904
16 19903
17 20023
18 20152
19
Workstations and local area networks for librarians
19901
20 20071

About Keith C. Wright

Keith C. Wright is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Immunology, Computer Science Applications and Neurology, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), AI-based Problem Solving and Planning (3 papers), semigroups and automata theory (3 papers), Algorithms and Data Compression (3 papers), Bayesian Modeling and Causal Inference (2 papers), ICT Impact and Policies (1 paper), Evolutionary Algorithms and Applications (1 paper) and Vagus Nerve Stimulation Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Cardiology and Cardiovascular Medicine (199 citations), Artificial Intelligence (189 citations), Rehabilitation (18 citations) and Neurology (20 citations). Keith C. Wright has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Carl Ivan Schulman, Richard H. Turnage, Helen L. Yin, Fiemu E. Nwariaku, Thomas H. Everett, PENG‐SHENG CHEN, Joseph T Murphy, Lan S. Chen, Changyu Shen and Anisiia T. Doytchinova. Their work appears in journals such as Heart Rhythm, Journal of Computer Information Systems, Communications of the ACM, Journal of Counseling Psychology and World Journal of Surgery.

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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