2026 Jonathan I. Maletic: 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	44	7497	7278	3263	3138	184	9504

Jonathan I. Maletic 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 Jonathan I. Maletic sits on this spectrum.

32 publications 991+

This scientist: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Jonathan I. Maletic 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 Jonathan I. Maletic sits on this spectrum.

30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2006 - ACM Senior Member

Overview

Jonathan I. Maletic is affiliated with Kent State University in the United States. Their research focuses predominantly within the field of Computer Science, contributing to subfields such as Information Systems, Human-Computer Interaction, and Artificial Intelligence, as well as addressing topics related to Computer Networks and Communications and Computer Science Applications.

The scientist's main topics of work include Gaze Tracking and Assistive Technology, Software Engineering Techniques and Practices, and Software Engineering Research. Additional areas covered in their publications are Usability and User Interface Design, Natural Language Processing Techniques, Software System Performance and Reliability, and Advanced Software Engineering Methodologies.

Jonathan I. Maletic has published extensively in several venues, with frequent contributions found in:

ACM Symposium on Eye Tracking Research and Applications
Proceedings of the ACM on Human-Computer Interaction
Empirical Software Engineering
IEEE Transactions on Software Engineering
Zenodo (CERN European Organization for Nuclear Research)

Their recent papers include:

"Determining Differences in Reading Behavior Between Experts and Novices by Investigating Eye Movement on Source Code Constructs During a Bug Fixing Task" (2021) presented at the ACM Symposium on Eye Tracking Research and Applications
"Studying Developer Eye Movements to Measure Cognitive Workload and Visual Effort for Expertise Assessment" (2023) published in the Proceedings of the ACM on Human-Computer Interaction
"Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks-methodology and analyses" (2022) published in Empirical Software Engineering
"EMIP Toolkit: A Python Library for Customized Post-processing of the Eye Movements in Programming Dataset" (2021) presented at the ACM Symposium on Eye Tracking Research and Applications
"A Fine-grained Assessment on Novice Programmers' Gaze Patterns on Pseudocode Problems" (2020) published at the ACM Symposium on Eye Tracking Research and Applications

Frequent co-authors collaborating with Jonathan I. Maletic include:

Bonita Sharif
Heather M. Guarnera
Joshua A.C. Behler
Cole S. Peterson
Salwa Aljehane

In 2006, Jonathan I. Maletic was recognized as an ACM Senior Member, acknowledging contributions within the computing community.

Best Publications

Recovering documentation-to-source-code traceability links using latent semantic indexing

Andrian Marcus;Jonathan I. Maletic

979
Citations
An information retrieval approach to concept location in source code

A. Marcus;A. Sergeyev;V. Rajlich;J.I. Maletic

664
Citations
A survey and taxonomy of approaches for mining software repositories in the context of software evolution

Huzefa Kagdi;Michael L. Collard;Jonathan I. Maletic

584
Citations
Identification of high-level concept clones in source code

A. Marcus;J.I. Maletic

407
Citations
Data Cleansing: Beyond Integrity Analysis 1

Jonathan I. Maletic;Andrian Marcus

376
Citations
Supporting program comprehension using semantic and structural information

Jonathan I. Maletic;Andrian Marcus

321
Citations
3D representations for software visualization

Andrian Marcus;Louis Feng;Jonathan I. Maletic

300
Citations
A task oriented view of software visualization

J.I. Maletic;A. Marcus;M.L. Collard

250
Citations
What's a Typical Commit? A Characterization of Open Source Software Repositories

A. Alali;H. Kagdi;J.I. Maletic

201
Citations
Assessing the Comprehension of UML Class Diagrams via Eye Tracking

S. Yusuf;H. Kagdi;J.I. Maletic

197
Citations
An XML-based lightweight C++ fact extractor

M.L. Collard;H.H. Kagdi;J.I. Maletic

194
Citations
Source code files as structured documents

J.I. Maletic;M.L. Collard;A. Marcus

188
Citations
Recovery of traceability links between software documentation and source code

Andrian Marcus;Jonathan I. Maletic;Andrey Sergeyev

185
Citations
An eye-tracking study on the role of scan time in finding source code defects

Bonita Sharif;Michael Falcone;Jonathan I. Maletic

181
Citations
An Eye Tracking Study on camelCase and under_score Identifier Styles

Bonita Sharif;Jonathan I. Maletic

179
Citations
The impact of identifier style on effort and comprehension

Dave Binkley;Marcia Davis;Dawn Lawrie;Jonathan I. Maletic

171
Citations
srcML: An Infrastructure for the Exploration, Analysis, and Manipulation of Source Code: A Tool Demonstration

Michael L. Collard;Michael John Decker;Jonathan I. Maletic

155
Citations
Using latent semantic analysis to identify similarities in source code to support program understanding

J.I. Maletic;A. Marcus

143
Citations
Lightweight Transformation and Fact Extraction with the srcML Toolkit

Michael L. Collard;Michael J. Decker;Jonathan I. Maletic

139
Citations
Supporting source code difference analysis

J.I. Maletic;M.L. Collard

137
Citations
Mining software repositories for traceability links

H. Kagdi;J.I. Maletic;B. Sharif

129
Citations

Frequent Co-Authors

Andrian Marcus The University of Texas at Dallas

Robert G. Reynolds Wayne State University

Jane Huffman Hayes University of Kentucky

Jane Cleland-Huang University of Notre Dame

Giuliano Antoniol Polytechnique Montréal

Massimiliano Di Penta University of Sannio

Michele Lanza Universita della Svizzera Italiana

Stéphane Ducasse University of Lille

Tien N. Nguyen The University of Texas at Dallas

Denys Poshyvanyk William & Mary

External Links

Personal website of Jonathan I. Maletic Google Scholar page

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