John W. Raymond
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Spectroscopy top 10%
- Co-authors
- Peter WillettPritam ChandaEleanor J. GardinerTony RogersDavid R. ShonnardAndrew KlineArthur K. CebrowskiA. Rault
- Topics
- Computational Drug Discovery Methods (13 papers)Analytical Chemistry and Chromatography (7 papers)Graph Theory and Algorithms (5 papers)
- Journals
- Journal of Hazardous MaterialsJournal of Medicinal ChemistryJournal of Computational Chemistry
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
John W. Raymond
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 520
- Molecular Biology 411
- Computer Vision and Pattern Recognition 203
- Artificial Intelligence 167
- Spectroscopy 141
Countries citing papers authored by John W. Raymond
This map shows the geographic impact of John W. Raymond'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. Raymond 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. Raymond more than expected).
Fields of papers citing papers by John W. Raymond
This network shows the impact of papers produced by John W. Raymond. 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. Raymond. The network helps show where John W. Raymond may publish in the future.
Co-authorship network of co-authors of John W. Raymond
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Raymond. A scholar is included among the top collaborators of John W. Raymond 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. Raymond. John W. Raymond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 9 | |
| 4 | Optimization of Spectrum Sensing Time in a Cooperative Cognitive Radio | 1 |
| 5 | 122 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 43 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 65 | |
| 16 | 268 | |
| 17 | 5 | |
| 18 | 97 | |
| 19 | Airports and spaceports : a historical comparison | 3 |
| 20 | Computation of the intervals of uncertainties about the parameters found for identification | 1 |
About John W. Raymond
John W. Raymond is a scholar working on Computational Theory and Mathematics, Spectroscopy and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (7 papers) and Graph Theory and Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (520 citations), Computer Vision and Pattern Recognition (203 citations) and Spectroscopy (141 citations). John W. Raymond has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Peter Willett, Pritam Chanda, Eleanor J. Gardiner, Tony Rogers, David R. Shonnard, Andrew Kline, Arthur K. Cebrowski, A. Rault, James Stevens and David E. Watson. Their work appears in journals such as Journal of Hazardous Materials, Journal of Medicinal Chemistry and Journal of Computational 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.