D.L. Bisset
Impact in
- Dermatology top 10%
- Cancer and Skin Lesions
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
-
- Neural Networks and Applications 20
- Neural Networks and Reservoir Computing 6
- Fuzzy Logic and Control Systems 5
- Machine Learning and ELM 3
- Surgery 4
- Orthopedic Surgery and Rehabilitation 1
- Co-authors
- M.C. Fairhurst (18 shared papers)Justin Pearson (1 shared paper)Germano C. Vasconcelos (4 shared papers)Richard Prescott (2 shared papers)Peter Davenport (1 shared paper)Stewart Watson (1 shared paper)L J McWilliam (1 shared paper)J.A. Morris (1 shared paper)
- Journals
- Histopathology (4 papers)Pattern Recognition Letters (4 papers)Journal of Clinical Pathology (3 papers)Electronics Letters (3 papers)Neural Computing and Applications (1 paper)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
D.L. Bisset
30 papers receiving 339 citations
Peers
Comparison fields: 5 of 79
- Dermatology 34
- Artificial Intelligence 93
- Rheumatology 35
- Oral Surgery 16
- Epidemiology 75
Countries citing papers authored by D.L. Bisset
This map shows the geographic impact of D.L. Bisset'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 D.L. Bisset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.L. Bisset more than expected).
Fields of papers citing papers by D.L. Bisset
This network shows the impact of papers produced by D.L. Bisset. 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 D.L. Bisset. The network helps show where D.L. Bisset may publish in the future.
Co-authors
The 25 scholars most cited alongside D.L. Bisset, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 69 | |
| 2 | 2002 | 43 | |
| 3 | 1995 | 28 | |
| 4 | 1988 | 26 | |
| 5 | 1988 | 26 | |
| 6 | 1995 | 25 | |
| 7 | 1994 | 24 | |
| 8 | 2001 | 18 | |
| 9 | 1991 | 17 | |
| 10 | 1995 | 17 | |
| 11 | 1992 | 8 | |
| 12 | 1994 | 8 | |
| 13 | 1993 | 7 | |
| 14 | 1995 | 5 | |
| 15 | 1994 | 5 | |
| 16 | 2006 | 5 | |
| 17 | 1992 | 5 | |
| 18 | 1992 | 4 | |
| 19 | 2002 | 3 | |
| 20 | A comparative study of neural network structures for practical application in a pattern recognition environment | 1989 | 3 |
About D.L. Bisset
D.L. Bisset is a scholar working on Artificial Intelligence, Surgery, Electrical and Electronic Engineering, Computer Networks and Communications and Pathology and Forensic Medicine, having authored 35 papers that have together received 363 indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Neural Networks and Reservoir Computing (6 papers), Fuzzy Logic and Control Systems (5 papers), Advanced Memory and Neural Computing (3 papers), Machine Learning and ELM (3 papers), Neural dynamics and brain function (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Dermatology (34 citations), Artificial Intelligence (93 citations), Rheumatology (35 citations), Oral Surgery (16 citations) and Epidemiology (75 citations). D.L. Bisset has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include M.C. Fairhurst, Justin Pearson, Germano C. Vasconcelos, Richard Prescott, Peter Davenport, Stewart Watson, L J McWilliam, J.A. Morris, Alan Curry and C. James Kirkpatrick. Their work appears in journals such as Histopathology, Pattern Recognition Letters, Journal of Clinical Pathology, Electronics Letters and Neural Computing and Applications.
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.