2026 Karin Verspoor: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	47	6442	6253	202	201	287	9952

Karin Verspoor publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Karin Verspoor sits on this spectrum.

32 publications 991+

This scientist: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Karin Verspoor D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Karin Verspoor sits on this spectrum.

30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Karin Verspoor is affiliated with RMIT University in Australia and is an active researcher in the fields of computer science, biochemistry, genetics, molecular biology, and medicine. Their work spans several hundred publications, with a strong focus on artificial intelligence applications and biomedical informatics.

Their main fields of study include:

Computer Science
Biochemistry, Genetics and Molecular Biology
Medicine

Within these areas, they have contributed extensively to key subfields such as:

Artificial Intelligence
Molecular Biology
Radiology, Nuclear Medicine and Imaging
Epidemiology
Health Informatics

The research topics frequently addressed in their work include:

Topic Modeling
Biomedical Text Mining and Ontologies
Natural Language Processing Techniques
Machine Learning in Healthcare
Bioinformatics and Genomic Networks
Advanced Text Analysis Techniques
Artificial Intelligence in Healthcare and Education

Karin Verspoor has co-authored numerous papers with several recurrent collaborators, including:

Timothy Baldwin
Trevor Cohn
Zenan Zhai
Biaoyan Fang
Simon Šuster

Their publications frequently appear in venues such as:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Zenodo (CERN European Organization for Nuclear Research)
Journal of Biomedical Informatics
Bioinformatics

Some recent papers by Karin Verspoor include:

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges, 2022, ACM Computing Surveys
Artificial intelligence for clinical decision support in neurology, 2020, Brain Communications
Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting, 2022, Cell Metabolism
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records, 2020, PLoS ONE
Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus, 2020, Translational Vision Science & Technology

Best Publications

A large-scale evaluation of computational protein function prediction

Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

1191
Citations
Findings of the 2016 Conference on Machine Translation

Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

677
Citations
An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

453
Citations
The CHEMDNER corpus of chemicals and drugs and its annotation principles.

Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

392
Citations
SemEval-2017 Task 3: Community Question Answering

Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti

319
Citations
An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

302
Citations
Concept annotation in the CRAFT corpus

Michael Bada;Miriam Eckert;Donald Evans;Kristin Garcia

291
Citations
Big data in medicine is driving big changes.

F. Martin-Sanchez;K. Verspoor

231
Citations
BioC: a minimalist approach to interoperability for biomedical text processing

Donald C. Comeau;Rezarta Islamaj Doğan;Paolo Ciccarese;Kevin Bretonnel Cohen

219
Citations
Adjusting for chance clustering comparison measures

Simone Romano;Nguyen Xuan Vinh;James Bailey;Karin Verspoor

218
Citations
The structural and content aspects of abstracts versus bodies of full text journal articles are different

K Bretonnel Cohen;K Bretonnel Cohen;Helen L Johnson;Karin Verspoor;Christophe Roeder

182
Citations
The gene normalization task in BioCreative III

Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

179
Citations
BioLemmatizer: a lemmatization tool for morphological processing of biomedical text

Haibin Liu;Tom Christiansen;William A Baumgartner;Karin Verspoor

179
Citations
Automatic English-Chinese name transliteration for development of multilingual resources

Unknown

137
Citations
Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters

Christopher S. Funk;William A. Baumgartner;Benjamin Garcia;Christophe Roeder

132
Citations
A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

Karin Verspoor;Kevin Bretonnel Cohen;Arrick Lanfranchi;Colin Warner

126
Citations
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance

Simone Romano;James Bailey;Vinh Nguyen;Karin Verspoor

98
Citations
Biomedical text mining: State-of-the-art, open problems and future challenges

Andreas Holzinger;Johannes Schantl;Miriam Schroettner;Christin Seifert

98
Citations
A categorization approach to automated ontological function annotation.

Karin Verspoor;Judith Cohn;Susan Mniszewski;Cliff Joslyn

93
Citations
High-precision biological event extraction with a concept recognizer

K. Bretonnel Cohen;Karin Verspoor;Helen Johnson;Chris Roeder

88
Citations
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment

Julio Cesar Salinas Alvarado;Karin Verspoor;Timothy Baldwin

54
Citations
Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

1
Citations

Frequent Co-Authors

Timothy Baldwin University of Melbourne

Justin Zobel University of Melbourne

Lawrence Hunter University of Colorado Denver

Antonio Jimeno Yepes RMIT University

K. Bretonnel Cohen University of Colorado Denver

Trevor Cohn University of Melbourne

Lawrence Cavedon RMIT University

William A. Baumgartner Johns Hopkins University

Asa Ben-Hur Colorado State University

Predrag Radivojac Northeastern University

External Links

Personal website of Karin Verspoor Google Scholar page

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