Oleg Komogortsev

Oleg Komogortsev

Texas State University

H-index: 36

North America-United States

About Oleg Komogortsev

Oleg Komogortsev, With an exceptional h-index of 36 and a recent h-index of 26 (since 2020), a distinguished researcher at Texas State University, specializes in the field of Eye tracking, VR/AR/MR, Biometrics, HCI, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset

Motor “laziness” constrains fixation selection in real-world tasks

Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro

Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline

What can entropy metrics tell us about the characteristics of ocular fixation trajectories?

Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics

GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality

A Mechanistic Transform Model for Synthesizing Eye Movement Data with Improved Realism

Oleg Komogortsev Information

University

Position

Professor of Computer Science

Citations(all)

4165

Citations(since 2020)

2312

Cited By

2782

hIndex(all)

36

hIndex(since 2020)

26

i10Index(all)

87

i10Index(since 2020)

58

Email

University Profile Page

Texas State University

Google Scholar

View Google Scholar Profile

Oleg Komogortsev Skills & Research Interests

Eye tracking

VR/AR/MR

Biometrics

HCI

Healthcare

Top articles of Oleg Komogortsev

Title

Journal

Author(s)

Publication Date

Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset

arXiv preprint arXiv:2404.11798

Dillon Lohr

Michael J Proulx

Oleg Komogortsev

2024/4/17

Motor “laziness” constrains fixation selection in real-world tasks

Proceedings of the National Academy of Sciences

Charlie S Burlingham

Naveen Sendhilnathan

Oleg Komogortsev

T Scott Murdison

Michael J Proulx

2024/3/19

Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro

arXiv preprint arXiv:2403.07210

Samantha Aziz

Dillon J Lohr

Lee Friedman

Oleg Komogortsev

2024/3/11

Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline

arXiv preprint arXiv:2402.16399

Mehedi Hasan Raju

Lee Friedman

Dillon J Lohr

Oleg V Komogortsev

2024/2/26

What can entropy metrics tell us about the characteristics of ocular fixation trajectories?

Plos one

Kateryna Melnyk

Lee Friedman

Oleg V Komogortsev

2024/1/2

Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics

Samantha Aziz

Oleg Komogortsev

2023/9/25

GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality

Scientific Data

Dillon Lohr

Samantha Aziz

Lee Friedman

Oleg V Komogortsev

2023/3/30

A Mechanistic Transform Model for Synthesizing Eye Movement Data with Improved Realism

arXiv preprint arXiv:2306.08712

Henry Griffith

Samantha Aziz

Dillon J Lohr

Oleg Komogortsev

2023/6/14

Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters

arXiv preprint arXiv:2303.02134

Mehedi H Raju

Lee Friedman

Troy M Bouman

Oleg V Komogortsev

2023/3/3

Multi-Rate Sensor Fusion for Unconstrained Near-Eye Gaze Estimation

Cristina Palmero

Oleg V Komogortsev

Sergio Escalera

Sachin S Talathi

2023/5/30

Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes

arXiv preprint arXiv:2303.06004

Lee Friedman

Timothy Hanson

Hal S Stern

Oleg V Komogortsev

2023/2/13

Demonstrating Eye Movement Biometrics in Virtual Reality

Dillon J Lohr

Saide Johnson

Samantha Aziz

Oleg Komogortsev

2023/5/30

Factors affecting inter-rater agreement in human classification of eye movements: a comparison of three datasets

Behavior Research Methods

Lee Friedman

Vladyslav Prokopenko

Shagen Djanian

Dmytro Katrychuk

Oleg V Komogortsev

2023/1

Practical Perception-Based Evaluation of Gaze Prediction for Gaze Contingent Rendering

Proceedings of the ACM on Human-Computer Interaction

Samantha Aziz

Dillon J Lohr

Razvan Stefanescu

Oleg Komogortsev

2023/5/18

The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance

arXiv preprint arXiv:2305.04413

Mehedi H Raju

Lee Friedman

Dillon Lohr

Oleg Komogortsev

2023/5/8

Determining which sine wave frequencies correspond to signal and which correspond to noise in eye-tracking time-series

Mehedi H Raju

Lee Friedman

Troy M Bouman

Oleg Komogortsev

2022

SynchronEyes: A novel, paired data set of eye movements recorded simultaneously with remote and wearable eye-tracking devices

Samantha Aziz

Dillon J Lohr

Oleg Komogortsev

2022/6/8

Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals

arXiv preprint arXiv:2209.07657

Mehedi H Raju

Lee Friedman

Troy M Bouman

Oleg V Komogortsev

2022/9/16

What Can Entropy Metrics Tell Us About Types of Fixations during Video Viewing?

Kateryna Melnyk

Lee Friedman

Oleg Komogortsev

2022

An assessment of the eye tracking signal quality captured in the HoloLens 2

Samantha Aziz

Oleg Komogortsev

2022/6/8

See List of Professors in Oleg Komogortsev University(Texas State University)

Co-Authors

H-index: 83
Reza Shadmehr

Reza Shadmehr

Johns Hopkins University

H-index: 77
Mark Nixon

Mark Nixon

University of Southampton

H-index: 47
Lee Friedman

Lee Friedman

Texas State University

H-index: 43
Cecilia Aragon

Cecilia Aragon

University of Washington

H-index: 32
Hugo Proença

Hugo Proença

Universidade da Beira Interior

H-index: 29
Larry R. Price

Larry R. Price

Texas State University

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