John W. Williams
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Signal Processing
- Hardware and Architecture top 10%
- Co-authors
- Linda H. HarpoleKaren M. StechuchakChristopher M. CallahanElizabeth LinLydia GrypmaJürgen UnützerMaren K. OlsenEugene Ž. Oddone
- Topics
- Embedded Systems Design Techniques (1 paper)Family Support in Illness (1 paper)Distributed and Parallel Computing Systems (1 paper)
- Cited by
- Computer Graphics and Computer-Aided DesignHardware and ArchitectureComputational Theory and Mathematics
- Journals
- Communications of the ACMThe Computer JournalVia Medica Journals
- Partner nations
- United States
In The Last Decade
John W. Williams
3 papers receiving 231 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 152
- Computational Theory and Mathematics 89
- Computer Networks and Communications 78
- Signal Processing 43
- Hardware and Architecture 39
Countries citing papers authored by John W. Williams
This map shows the geographic impact of John W. 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 John W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Williams more than expected).
Fields of papers citing papers by John W. Williams
This network shows the impact of papers produced by John W. 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 John W. Williams. The network helps show where John W. Williams may publish in the future.
Co-authorship network of co-authors of John W. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Williams. A scholar is included among the top collaborators of John W. 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 John W. Williams. John W. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Poprawa wyników leczenia depresji u osób w podeszłym wieku ze współwystępującymi chorobami somatycznymi | 1 |
| 2 | 4 | |
| 3 | 264 |
About John W. Williams
John W. Williams is a scholar working on Hardware and Architecture, Management Science and Operations Research and Computer Networks and Communications, having authored 3 papers that have together received 269 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (1 paper), Family Support in Illness (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (22 citations), Hardware and Architecture (39 citations) and Computational Theory and Mathematics (89 citations). John W. Williams has collaborated with scholars based in United States. Frequent co-authors include Linda H. Harpole, Karen M. Stechuchak, Christopher M. Callahan, Elizabeth Lin, Lydia Grypma, Jürgen Unützer, Maren K. Olsen, Eugene Ž. Oddone and Wayne Katon. Their work appears in journals such as Communications of the ACM, The Computer Journal and Via Medica Journals.
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.