2026 Marc Pomplun: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	National Ranking	Publications	Citations
Computer Science	33	12572	5096	170	5411

Overview

Marc Pomplun was affiliated with the University of Massachusetts Boston in the United States. Their research contributions spanned the intersecting areas of computer science and neuroscience, with a focus on applications in medical imaging and cancer detection.

Their main fields of study included:

Computer Science
Neuroscience

Within these fields, Pomplun explored several subfields:

Computer Vision and Pattern Recognition
Cognitive Neuroscience
Artificial Intelligence
Neurology
Radiology, Nuclear Medicine and Imaging

The topics covered in their work were diverse but centered notably on healthcare and brain research:

Brain Tumor Detection and Classification
AI in Cancer Detection
EEG and Brain-Computer Interfaces
Gaze Tracking and Assistive Technology
Gene Expression and Cancer Classification
Spectroscopy and Chemometric Analyses
Privacy-Preserving Technologies in Data

Pomplun published extensively in several academic venues, including:

IEEE Access
Scientific Reports
Informatics in Medicine Unlocked
International Journal of Intelligent Information and Database Systems
Journal of Intelligent & Fuzzy Systems

They co-authored multiple papers with regular collaborators such as Hien Dang, K. Martin Sagayam, G. Naveen Sundar, A. Amir Anton Jone, and J. Andrew.

Among the recent publications attributed to Pomplun were:

A Novel Hybrid K-Means and GMM Machine Learning Model for Breast Cancer Detection, 2021, IEEE Access
Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing, 2022, IEEE Access
Super-resolution Reconstruction of Brain Magnetic Resonance Images via Lightweight Autoencoder, 2021, Informatics in Medicine Unlocked
Meningioma Brain Tumor Detection and Classification Using Hybrid CNN Method and RIDGELET Transform, 2023, Scientific Reports
An Efficient Approach for Detection and Classification of Cancer Regions in Cervical Images Using Optimization Based CNN Classification Approach, 2022, Journal of Intelligent & Fuzzy Systems

Pomplun's research often integrated machine learning and artificial intelligence with medical imaging techniques to advance cancer detection and brain tumor classification. The work on privacy-preserving data publishing methods reflected attention to data security concerns in healthcare.

Best Publications

A Study on Human Activity Recognition Using Accelerometer Data from Smartphones

Akram Bayat;Marc Pomplun;Duc A. Tran

637
Citations
Visual Span in Expert Chess Players: Evidence From Eye Movements

Eyal M. Reingold;Neil Charness;Marc Pomplun;Dave M. Stampe

562
Citations
The perceptual aspect of skilled performance in chess: evidence from eye movements.

Neil Charness;Eyal M. Reingold;Marc Pomplun;Dave M. Stampe

439
Citations
Semantic guidance of eye movements in real-world scenes.

Alex D. Hwang;Hsueh-Cheng Wang;Marc Pomplun

199
Citations
E-Readers Are More Effective than Paper for Some with Dyslexia

Matthew H. Schneps;Jenny M. Thomson;Chen Chen;Gerhard Sonnert

173
Citations
Guidance of visual attention by semantic information in real-world scenes.

Chia-Chien Wu;Farahnaz Ahmed Wick;Marc Pomplun

160
Citations
Disambiguating Complex Visual Information: Towards Communication of Personal Views of a Scene:

Marc Pomplun;Helge Ritter;Boris Velichkovsky

158
Citations
Investigating the visual span in comparative search: the effects of task difficulty and divided attention

Marc Pomplun;Eyal M Reingold;Jiye Shen

158
Citations
Fixation behavior in observation and imitation of human movement.

Maja J Matarić;Marc Pomplun

150
Citations
Shorter Lines Facilitate Reading in Those Who Struggle

Matthew H. Schneps;Jenny M. Thomson;Gerhard Sonnert;Marc Pomplun

142
Citations
A model of top-down attentional control during visual search in complex scenes.

Alex D. Hwang;Emily C. Higgins;Marc Pomplun

141
Citations
Saccadic selectivity in complex visual search displays

Marc Pomplun

140
Citations
Area activation: a computational model of saccadic selectivity in visual search

Marc Pomplun;Eyal M. Reingold;Jiye Shen

131
Citations
Distractor Ratio Influences Patterns of Eye Movements during Visual Search

Jiye Shen;Eyal M Reingold;Marc Pomplun

125
Citations
Attending to visual motion

John K. Tsotsos;Yueju Liu;Julio C. Martinez-Trujillo;Marc Pomplun

116
Citations
Comparative visual search: a difference that makes a difference

Marc Pomplun;Lorenz Sichelschmidt;Karin Wagner;Thomas Clermont

92
Citations
Attention and communication: Eye-movement-based research paradigms

Boris Velichkovsky;Marc Pomplun;Johannes Rieser

89
Citations
The attraction of visual attention to texts in real-world scenes.

Hsueh-Cheng Wang;Marc Pomplun

88
Citations
The effects of task difficulty on visual search strategy in virtual 3D displays.

Marc Pomplun;Tyler W. Garaas;Marisa Carrasco

86
Citations
A neural network for 3D gaze recording with binocular eye trackers

Kai Essig;Marc Pomplun;Helge J. Ritter

79
Citations
The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC-2014) A Study on Human Activity Recognition Using Accelerometer Data from Smartphones

Akram Bayat;Marc Pomplun;Duc A. Tran

6
Citations

Frequent Co-Authors

Helge Ritter Bielefeld University

Boris M. Velichkovsky Kurchatov Institute

Eyal M. Reingold University of Toronto

Gerhard Sonnert Harvard University

Julio C. Martinez-Trujillo University of Western Ontario

John K. Tsotsos York University

Andreas Sprenger University of Lübeck

Marisa Carrasco New York University

James R. Brockmole University of Notre Dame

Maja J. Matarić University of Southern California

External Links

Personal website of Marc Pomplun

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