Lawrence Hall
Impact in
- Artificial Intelligence top 0.01%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Machine Learning and Data Classification
- Health Information Management top 0.01%
Papers in
-
- AI in cancer detection 37
- Advanced Clustering Algorithms Research 34
- Neural Networks and Applications 30
- Fuzzy Logic and Control Systems 24
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- Medical Image Segmentation Techniques 44
- Image Retrieval and Classification Techniques 26
- Co-authors
- Kevin W. Bowyer (28 shared papers)W. Philip Kegelmeyer (13 shared papers)Nitesh V. Chawla (12 shared papers)Dmitry B. Goldgof (123 shared papers)James C. Bezdek (15 shared papers)Laurence P. Clarke (21 shared papers)Robert J. Gillies (46 shared papers)Robert P. Velthuizen (18 shared papers)
- Journals
- IEEE Transactions on Fuzzy Systems (7 papers)IEEE Access (6 papers)Magnetic Resonance Imaging (6 papers)Fuzzy Sets and Systems (5 papers)Pattern Recognition (5 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Lawrence Hall
272 papers receiving 30.8k citations
Lawrence Hall's Hit Papers
Peers
Comparison fields: 5 of 225
- Artificial Intelligence 14.3k
- Health Information Management 1.4k
- Computer Vision and Pattern Recognition 5.6k
- Radiology, Nuclear Medicine and Imaging 4.6k
- Health Informatics 250
Countries citing papers authored by Lawrence Hall
This map shows the geographic impact of Lawrence Hall'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 Lawrence Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Hall more than expected).
Fields of papers citing papers by Lawrence Hall
This network shows the impact of papers produced by Lawrence Hall. 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 Lawrence Hall. The network helps show where Lawrence Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Lawrence Hall, 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 285 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SMOTE: Synthetic Minority Over-sampling Technique Hit paper breakdown → | 2002 | 20370 |
| 2 | Radiomics: the process and the challenges Hit paper breakdown → | 2012 | 1686 |
| 3 | Review of MR image segmentation techniques using pattern recognition Hit paper breakdown → | 1993 | 689 |
| 4 | MRI segmentation: Methods and applications Hit paper breakdown → | 1995 | 514 |
| 5 | 1992 | 437 | |
| 6 | Fuzzy c-Means Algorithms for Very Large Data Hit paper breakdown → | 2012 | 352 |
| 7 | 1998 | 341 | |
| 8 | 1996 | 328 | |
| 9 | 2006 | 299 | |
| 10 | 2017 | 278 | |
| 11 | 1999 | 263 | |
| 12 | 2014 | 243 | |
| 13 | 2001 | 227 | |
| 14 | 2016 | 222 | |
| 15 | 2014 | 208 | |
| 16 | 1996 | 191 | |
| 17 | 2008 | 185 | |
| 18 | 2004 | 155 | |
| 19 | 2003 | 154 | |
| 20 | 2004 | 151 |
About Lawrence Hall
Lawrence Hall is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics and Molecular Biology, having authored 285 papers that have together received 32.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (49 papers), Medical Image Segmentation Techniques (44 papers), AI in cancer detection (37 papers), Advanced Clustering Algorithms Research (34 papers), Neural Networks and Applications (30 papers), Image Retrieval and Classification Techniques (26 papers), Fuzzy Logic and Control Systems (24 papers) and Data Mining Algorithms and Applications (23 papers). The work is most often cited by research in Artificial Intelligence (14.3k citations), Health Information Management (1.4k citations), Computer Vision and Pattern Recognition (5.6k citations), Radiology, Nuclear Medicine and Imaging (4.6k citations) and Health Informatics (250 citations). Lawrence Hall has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Kevin W. Bowyer, W. Philip Kegelmeyer, Nitesh V. Chawla, Dmitry B. Goldgof, James C. Bezdek, Laurence P. Clarke, Robert J. Gillies, Robert P. Velthuizen, Robert A. Gatenby and A. Bensaid. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Access, Magnetic Resonance Imaging, Fuzzy Sets and Systems and Pattern Recognition.
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.