L.S. Goodenday
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
Papers in
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- Rough Sets and Fuzzy Logic 9
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- Neural Networks and Applications 4
- Fuzzy Logic and Control Systems 3
- Co-authors
- Krzysztof J. Cios (14 shared papers)Marek R. Ogiela (1 shared paper)Lukasz Kurgan (1 shared paper)Ryszard Tadeusiewicz (1 shared paper)Richard F. Leighton (3 shared papers)Gary J. Muswick (1 shared paper)William A. Yasnoff (1 shared paper)Ik‐Soo Shin (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (2 papers)Annals of Internal Medicine (1 paper)Blood (1 paper)Academic Medicine (1 paper)Computer (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
L.S. Goodenday
21 papers receiving 379 citations
Peers
Comparison fields: 5 of 78
- Health Information Management 48
- Artificial Intelligence 177
- Cardiology and Cardiovascular Medicine 116
- Radiology, Nuclear Medicine and Imaging 86
- Biophysics 15
Countries citing papers authored by L.S. Goodenday
This map shows the geographic impact of L.S. Goodenday'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 L.S. Goodenday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.S. Goodenday more than expected).
Fields of papers citing papers by L.S. Goodenday
This network shows the impact of papers produced by L.S. Goodenday. 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 L.S. Goodenday. The network helps show where L.S. Goodenday may publish in the future.
Co-authors
The 19 scholars most cited alongside L.S. Goodenday, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 171 | |
| 2 | 1987 | 99 | |
| 3 | 1970 | 29 | |
| 4 | 2002 | 21 | |
| 5 | 1991 | 21 | |
| 6 | 2000 | 14 | |
| 7 | 1971 | 14 | |
| 8 | 1994 | 11 | |
| 9 | 2002 | 10 | |
| 10 | 1996 | 8 | |
| 11 | 1990 | 7 | |
| 12 | 1989 | 6 | |
| 13 | 1984 | 5 | |
| 14 | Scintigraphic detection of ventricular aneurysm with thallium-201. | 1983 | 3 |
| 15 | 1993 | 2 | |
| 16 | 1968 | 1 | |
| 17 | 2003 | 1 | |
| 18 | 1988 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2003 | 1 |
About L.S. Goodenday
L.S. Goodenday is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 21 papers that have together received 427 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (9 papers), Cardiac Imaging and Diagnostics (5 papers), Neural Networks and Applications (4 papers), Fuzzy Logic and Control Systems (3 papers), Medical Imaging Techniques and Applications (2 papers), Data Mining Algorithms and Applications (2 papers), Engineering Diagnostics and Reliability (2 papers) and Williams Syndrome Research (1 paper). The work is most often cited by research in Health Information Management (48 citations), Artificial Intelligence (177 citations), Cardiology and Cardiovascular Medicine (116 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Biophysics (15 citations). L.S. Goodenday has collaborated with scholars based in United States and Poland. Frequent co-authors include Krzysztof J. Cios, Marek R. Ogiela, Lukasz Kurgan, Ryszard Tadeusiewicz, Richard F. Leighton, Gary J. Muswick, William A. Yasnoff, Ik‐Soo Shin, Gilbert S. Gordan and Ellen Brown. Their work appears in journals such as Artificial Intelligence in Medicine, Annals of Internal Medicine, Blood, Academic Medicine and Computer.
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.