Lawrence Hall

48.6k citations
283 papers · 31.2k indexed · 5 hit papers · h-index 48

Lawrence Hall

270 papers receiving 29.9k citations

Hit Papers

Fuzzy c-Means Algorithms for Very La...35319932026200420155.0k10.0k15.0k

Peers

Lawrence Hall
Comparison fields: 5 of 225
  • Artificial Intelligence 14.6k
  • Health Information Management 1.5k
  • Computer Vision and Pattern Recognition 5.7k
  • Radiology, Nuclear Medicine and Imaging 5.8k
  • Health Informatics 316
Replace Corinna Cortes with:
Corinna Cortes United States
Seyedali Mirjalili Australia
Nitesh V. Chawla United States
Taghi M. Khoshgoftaar United States
Kevin W. Bowyer United States
Huiling Chen China
Qiang Yang Hong Kong
Aaron Courville Canada
W. Philip Kegelmeyer United States
Amir H. Gandomi Australia
Lawrence Hall relative to Corinna Cortes United States Corinna Cortes's profile →
Citations per field
00.5×1.5×2.3×
Corinna Cortes · 1×
Citations per year

Countries citing papers authored by Lawrence Hall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Lawrence Hall Line = papers co-authored together Lawrence Hall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20241
4 20232
5 20226
6 20227
7 20216
8 202125
9 202114
10 20210
11 20215
12 202126
13 202051
14 201934
15 20193
16 2017272
17
Generalization methods in bioinformatics
20026
18
Bagging-like effects for decision trees and neural nets in protein secondary structure prediction
20015
19
A Qualitative Expert System for Clinical Trial Assignment
19986
20
Relational Knowledge Acquisition.
19851

About Lawrence Hall

Lawrence Hall is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology, having authored 283 papers that have together received 31.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (53 papers), Medical Image Segmentation Techniques (45 papers), AI in cancer detection (39 papers), Advanced Clustering Algorithms Research (34 papers), Neural Networks and Applications (30 papers), Image Retrieval and Classification Techniques (26 papers), Brain Tumor Detection and Classification (24 papers) and Fuzzy Logic and Control Systems (24 papers). The work is most often cited by research in Artificial Intelligence (14.6k citations), Health Information Management (1.5k citations) and Computer Vision and Pattern Recognition (5.7k 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.

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2026