James Ford
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Computational Mathematics top 10%
Papers in
-
- Security in Wireless Sensor Networks 5
- Peer-to-Peer Network Technologies 4
- Co-authors
- Fillia Makedon (45 shared papers)Laura A. Flashman (14 shared papers)Thomas W. McAllister (12 shared papers)Weihong Wang (2 shared papers)Richard M. Greenwald (5 shared papers)Jonathan G. Beckwith (5 shared papers)Sheng Zhang (1 shared paper)Songbai Ji (6 shared papers)
- Journals
- Journal of Neurotrauma (4 papers)NeuroImage (3 papers)Annals of Biomedical Engineering (2 papers)Statistical Methods in Medical Research (2 papers)Computer applications in the biosciences (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
James Ford
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Information Systems 426
- Computational Mathematics 11
- Neurology 275
- Epidemiology 555
- Computer Vision and Pattern Recognition 313
Countries citing papers authored by James Ford
This map shows the geographic impact of James Ford'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 Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Ford more than expected).
Fields of papers citing papers by James Ford
This network shows the impact of papers produced by James Ford. 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 Ford. The network helps show where James Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside James Ford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 253 | |
| 2 | 2013 | 187 | |
| 3 | 2011 | 186 | |
| 4 | 2004 | 134 | |
| 5 | 2014 | 122 | |
| 6 | 2013 | 80 | |
| 7 | 2006 | 74 | |
| 8 | 2006 | 70 | |
| 9 | 2006 | 61 | |
| 10 | 2006 | 61 | |
| 11 | 2004 | 58 | |
| 12 | 2000 | 54 | |
| 13 | 2016 | 45 | |
| 14 | 2004 | 44 | |
| 15 | 2006 | 42 | |
| 16 | 2015 | 39 | |
| 17 | 2003 | 39 | |
| 18 | 2006 | 36 | |
| 19 | 2007 | 35 | |
| 20 | 2008 | 33 |
About James Ford
James Ford is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Medical Image Segmentation Techniques (6 papers), Automotive and Human Injury Biomechanics (6 papers), Recommender Systems and Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Security in Wireless Sensor Networks (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Information Systems (426 citations), Computational Mathematics (11 citations), Neurology (275 citations), Epidemiology (555 citations) and Computer Vision and Pattern Recognition (313 citations). James Ford has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Fillia Makedon, Laura A. Flashman, Thomas W. McAllister, Weihong Wang, Richard M. Greenwald, Jonathan G. Beckwith, Sheng Zhang, Songbai Ji, Keith D. Paulsen and Justin D. Pearlman. Their work appears in journals such as Journal of Neurotrauma, NeuroImage, Annals of Biomedical Engineering, Statistical Methods in Medical Research and Computer applications in the biosciences.
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.