James Williams

815 total citations
46 papers, 308 citations indexed

About

James Williams is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, James Williams has authored 46 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Sociology and Political Science. Recurrent topics in James Williams's work include Access Control and Trust (6 papers), Semantic Web and Ontologies (6 papers) and Security and Verification in Computing (5 papers). James Williams is often cited by papers focused on Access Control and Trust (6 papers), Semantic Web and Ontologies (6 papers) and Security and Verification in Computing (5 papers). James Williams collaborates with scholars based in United States, Norway and India. James Williams's co-authors include Kai A. Olsen, Michael B. Spring, Robert R. Korfhage, Stephen C. Hirtle, Ian I. Mitroff, Leonard J. LaPadula, Richard Fulkerson, Allen Kent, Guoray Cai and Sheldon Adler and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of the Association for Information Systems and Light Science & Applications.

In The Last Decade

James Williams

31 papers receiving 268 citations

Peers

James Williams
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 133
  • Artificial Intelligence 112
  • Information Systems 87
  • Sociology and Political Science 47
  • Signal Processing 44
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Citations per field, relative to James Williams
James Williams · 1×
Citations per year, relative to James Williams
James Williams · 1×

Countries citing papers authored by James Williams

Since Specialization
Citations

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

Fields of papers citing papers by James Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Williams. 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 James Williams. The network helps show where James Williams may publish in the future.

Co-authorship network of co-authors of James Williams

This figure shows the co-authorship network connecting the top 25 collaborators of James Williams. A scholar is included among the top collaborators of James Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Williams. James Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 0
4 1
5 1
6 10
7 11
8
A Study of an On-Line Credit Card Payment Processing and Fraud Prevention for e-Business
1
9 1
10 5
11
Mapping the Geography of Cyberspace Using Telecommunications Infrastructure Information
5
12 9
13 1
14
VISUALIZATION OF A DOCUMENT COLLECTION WITH IMPLICIT AND EXPLICIT LINKS: The Vibe System
9
15
Visualization of a document collection with implicit and explicit links
7
16 172
17 3
18 1
19
On Theory Development in Information Science.
3
20 9

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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