2026 Laurence P. Clarke: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	National Ranking	Publications	Citations
Computer Science	47	6391	2852	143	11289

Discipline name

D-Index

World Ranking

National Ranking

Publications

Citations

Computer Science

6391

2852

143

11289

Research.com Recognitions

2016 - SPIE Fellow

Overview

Laurence P. Clarke was affiliated with the University of South Florida in the United States. Their research encompassed multiple fields, primarily within Medicine and Economics, Econometrics and Finance. Their work included studies in Surgery, Finance, Pulmonary and Respiratory Medicine, Emergency Medicine, and Public Health, Environmental and Occupational Health.

The scientist contributed to topics such as Intraperitoneal and Appendiceal Malignancies, Occupational and Environmental Lung Diseases, Appendicitis Diagnosis and Management, Surgical Site Infection Prevention, Clinical Practice Guidelines Implementation, Enhanced Recovery After Surgery, and Housing Market and Economics.

Frequent coauthors in Clarke's work included Assad Zahid, Norman J. Carr, Kandiah Chandrakumaran, Alexios Tzivanakis, and Sanjeev Dayal.

Among preferred publication venues, Clarke's papers appeared in BJS Open, British Journal of Surgery, UNC Libraries, and SSRN Electronic Journal.

Outcomes of multicystic peritoneal mesothelioma treatment with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy, 2020, BJS Open
1080 An Audit on Compliance with Recommended Duration of Surgical Antimicrobial Prophylaxis in St. Vincent's University Hospital, Dublin, Ireland, 2021, British Journal of Surgery
Challenges in image-guided therapy system design, 2020, UNC Libraries
The Anatomy of a Shock to Residential Real Estate: The Role of Lending, 2025, SSRN Electronic Journal

During their career, Clarke received the SPIE Fellow award in 2016.

Best Publications

Review of MR image segmentation techniques using pattern recognition.

J. C. Bezdek;L. O. Hall;L. P. Clarke

1516
Citations
MRI segmentation: Methods and applications

L.P. Clarke;R.P. Velthuizen;M.A. Camacho;J.J. Heine

1083
Citations
A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain

L.O. Hall;A.M. Bensaid;L.P. Clarke;R.P. Velthuizen

829
Citations
Validity-guided (re)clustering with applications to image segmentation

A.M. Bensaid;L.O. Hall;J.C. Bezdek;L.P. Clarke

600
Citations
Computer-assisted method and apparatus for displaying x-ray images

Laurence P. Clarke;Wei Qian;Lihua Li

497
Citations
Markov random field for tumor detection in digital mammography

H.D. Li;M. Kallergi;L.P. Clarke;V.K. Jain

453
Citations
Partially supervised clustering for image segmentation

Amine M. Bensaid;Lawrence O. Hall;James C. Bezdek;Laurence P. Clarke

409
Citations
MRI segmentation using fuzzy clustering techniques

M.C. Clark;L.O. Hall;D.B. Goldgof;L.P. Clarke

302
Citations
MRI: Stability of three supervised segmentation techniques

L.P. Clarke;R.P. Velthuizen;S. Phuphanich;J.D. Schellenberg

240
Citations
Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme.

W.E. Phillips;R.P. Velthuizen;S. Phuphanich;L.O. Hall

200
Citations
Tree-structured nonlinear filters in digital mammography

Wei Qian;L.P. Clarke;M. Kallergi;R.A. Clark

170
Citations
Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications

Baoyu Zheng;Wei Qian;L.P. Clarke

159
Citations
Comparison of supervised MRI segmentation methods for tumor volume determination during therapy

M. Vaidyanathan;L.P. Clarke;R.P. Velthuizen;S. Phuphanich

149
Citations
LUNGx Challenge for computerized lung nodule classification.

Samuel G. Armato;Karen Drukker;Feng Li;Lubomir Hadjiiski

144
Citations
Workstation interface for use in digital mammography and associated methods

Maria Kallergi;Laurence P. Clarke;Himanshu J. Gohel;Michal Vossberg

143
Citations
MRI Measurement of Brain Tumor Response: Comparison of Visual Metric and Automatic Segmentation

Laurence P. Clarke;Robert P. Velthuizen;Matt Clark;Jorge Gaviria

125
Citations
Expanding the Use of Magnetic Resonance in the Assessment of Tumor Response to Therapy: Workshop Report

Jeffrey Evelhoch;Michael Garwood;Daniel Vigneron;Michael Knopp

124
Citations
Unsupervised Measurement of Brain Tumor Volume on MR Images

Robert P. Velthuizen;Laurence P. Clarke;Surasak Phuphanich;Lawrence O. Hall

122
Citations
Image analyzing device using adaptive criteria

Laurence P. Clarke;Wei Qian;Maria Kallergi

116
Citations
Computer-assisted method and apparatus for the detection of lung nodules

Laurence P. Clarke;Wei Qian;Fei Mao

114
Citations
On the statistical nature of mammograms.

John J. Heine;Stanley R. Deans;Robert P. Velthuizen;Laurence P. Clarke

111
Citations

Frequent Co-Authors

Wei Qian The University of Texas at El Paso

Lawrence O. Hall University of South Florida

James C. Bezdek University of Melbourne

Carey E. Priebe Johns Hopkins University

Kevin W. Bowyer University of Notre Dame

Dmitry B. Goldgof University of South Florida

Berkman Sahiner United States Food and Drug Administration

Heang Ping Chan University of Michigan–Ann Arbor

Joseph Y. Lo Duke University

Gary W. Arendash University of South Florida

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