James W. Ward
- Cognitive Neuroscience top 5%
- Surgery
- Computer Vision and Pattern Recognition top 10%
- Nephrology top 5%
- Artificial Intelligence top 10%
- Co-authors
- John R. BourneBart JansenChang Hong LiuPaul E. TeschanAndrew BeavisH. Earl GinnRoger J. N. PhillipsPete Bridge
- Topics
- Surgical Simulation and Training (13 papers)EEG and Brain-Computer Interfaces (10 papers)Advanced Radiotherapy Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchScientific Reports
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
James W. Ward
71 papers receiving 951 citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 360
- Surgery 175
- Computer Vision and Pattern Recognition 124
- Nephrology 109
- Artificial Intelligence 104
Countries citing papers authored by James W. Ward
This map shows the geographic impact of James W. Ward'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 W. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James W. Ward more than expected).
Fields of papers citing papers by James W. Ward
This network shows the impact of papers produced by James W. Ward. 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 W. Ward. The network helps show where James W. Ward may publish in the future.
Co-authorship network of co-authors of James W. Ward
This figure shows the co-authorship network connecting the top 25 collaborators of James W. Ward. A scholar is included among the top collaborators of James W. Ward 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 W. Ward. James W. Ward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 5 | |
| 10 | Virtual reality training for radiotherapy becomes a reality. | 19 |
| 11 | 17 | |
| 12 | Immersive visualization with automated collision detection for radiotherapy treatment planning. | 10 |
| 13 | 24 | |
| 14 | Factors affecting targeting using the computer assisted orthopaedic surgery system (CAOSS). | 1 |
| 15 | Smart tool for force measurements during knee arthroscopy: in vivo human study. | 9 |
| 16 | 21 | |
| 17 | 9 | |
| 18 | How useful is Section 5(4)? | 5 |
| 19 | Knowledge and Context Effects on Typicality and Attitude Judgements | 5 |
| 20 | Inhibiting gas-condensate wells can become complicated problem | 2 |
About James W. Ward
James W. Ward is a scholar working on Cognitive Neuroscience, Radiation and Signal Processing, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Surgical Simulation and Training (13 papers), EEG and Brain-Computer Interfaces (10 papers) and Advanced Radiotherapy Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (360 citations), Nephrology (109 citations) and Signal Processing (95 citations). James W. Ward has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John R. Bourne, Bart Jansen, Chang Hong Liu, Paul E. Teschan, Andrew Beavis, H. Earl Ginn, Roger J. N. Phillips, Pete Bridge, R. Appleyard and Tracy S. Kendler. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.
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.