Tom Gedeon

7.7k total citations · 1 hit paper
214 papers, 5.0k citations indexed

About

Tom Gedeon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Tom Gedeon has authored 214 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 53 papers in Experimental and Cognitive Psychology. Recurrent topics in Tom Gedeon's work include Emotion and Mood Recognition (43 papers), Gaze Tracking and Assistive Technology (19 papers) and Face and Expression Recognition (17 papers). Tom Gedeon is often cited by papers focused on Emotion and Mood Recognition (43 papers), Gaze Tracking and Assistive Technology (19 papers) and Face and Expression Recognition (17 papers). Tom Gedeon collaborates with scholars based in Australia, Hungary and United States. Tom Gedeon's co-authors include Roland Goecke, Abhinav Dhall, Nandita Sharma, Simon Lucey, Jyoti Joshi, P.M. Wong, Robert G. Barnes, David I. Groves, Warick Brown and L.T. Kóczy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Tom Gedeon

191 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collecting Large, Richly Annotated Facial-Expression Databases from Movies

2012 459 citations Abhinav Dhall, Roland Goecke et al. profile →

Peers

Countries citing papers authored by Tom Gedeon

Since Specialization

Citations

This map shows the geographic impact of Tom Gedeon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Gedeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Gedeon more than expected).

Fields of papers citing papers by Tom Gedeon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Gedeon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Gedeon. The network helps show where Tom Gedeon may publish in the future.

Co-authorship network of co-authors of Tom Gedeon

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Gedeon. A scholar is included among the top collaborators of Tom Gedeon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Gedeon. Tom Gedeon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·Zhifeng Wang, Qixuan Zhang, Peter Zhang, (unknown), Kaihao Zhang, Ramesh Sankaranarayana, Sabrina Caldwell, Tom Gedeon	0
2	Empathy Detection From Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods 2025 ·IEEE Transactions on Affective Computing ·Md Rakibul Hasan, Md Zakir Hossain, Shreya Ghosh, Aneesh Krishna, Tom Gedeon	0
3	TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation 2025 ·Lei Wang, Md Zakir Hossain, Syed Mohammed Shamsul Islam, Tom Gedeon, Sharifa Alghowinem, Isabella Zaniletti, (unknown), (unknown), (unknown), Nur Al Hasan Haldar, Seyed Mohammad Jafar Jalali, Md. Abdur Razzaque, Imran Razzak, Rafiqul Islam, Shahadat Uddin, Naeem Khalid Janjua, Aneesh Krishna, (unknown)	1
4	The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals 2024 ·Oeconomia Copernicana ·George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, Mihai Andronie, (unknown), Zdenka Musová, Mariana Iatagan, Cristian Uţă, Lucia Michalkova, Mária Kováčová, Roxana Ștefănescu, Iulian Hurloiu, (unknown), Róbert Štefko, (unknown), Irina Dijmărescu, (unknown)	17
5	Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Yiqun Zhang, Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon	0
6	MADE-for-ASD: A multi-atlas deep ensemble network for diagnosing Autism Spectrum Disorder 2024 ·Computers in Biology and Medicine ·Xuehan Liu, Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain	14
7	AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset 2024 ·Monash University Research Portal (Monash University) ·(unknown), Shreya Ghosh, (unknown), Munawar Hayat, Abhinav Dhall, Tom Gedeon, Kalin Stefanov	12
8	EmotiW 2023: Emotion Recognition in the Wild Challenge 2023 ·UNSWorks (University of New South Wales, Sydney, Australia) ·Abhinav Dhall, (unknown), Roland Goecke, Tom Gedeon, (unknown), (unknown), (unknown)	6
9	Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon	65
10	Identifying the Optimal Features in Multimodal Deception Detection 2020 ·Multimodal Technologies and Interaction ·(unknown), Mohammad Mikaeili, Tom Gedeon, Ali Motie Nasrabadi	11
11	Network physiology of ‘fight or flight’ response in facial superficial blood vessels 2018 ·Physiological Measurement ·(unknown), Mohammad Mikaeili, Ali Motie Nasrabadi, Tom Gedeon	5
12	Using Temporal Features of Observers’ Physiological Measures to Distinguish Between Genuine and Fake Smiles 2018 ·IEEE Transactions on Affective Computing ·Md Zakir Hossain, Tom Gedeon, Ramesh Sankaranarayana	16
13	EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption 2018 ·ANU Open Research (Australian National University) ·(unknown), Qiongkai Xu, Hanna Suominen, Tom Gedeon	4
14	Emotion recognition in the wild 2016 ·Journal on Multimodal User Interfaces ·Abhinav Dhall, Roland Goecke, Tom Gedeon, Nicu Sebe	12
15	Observer's Galvanic Skin Response for Discriminating Real from Fake Smiles 2016 ·Journal of the Association for Information Systems ·Md Zakir Hossain, Tom Gedeon, Ramesh Sankaranarayana	11
16	Big 5 personality traits affect m-learning preferences in different contexts and cultures 2016 ·International Conference on Computing for Sustainable Global Development ·(unknown), Tom Gedeon, Ramesh Sankaranarayana, Mohammad Yamin	2
17	M-learning preferences and learning preferences 2016 ·ANU Open Research (Australian National University) ·Mohammad Yamin, (unknown), Tom Gedeon, Ramesh Sankaranarayana	1
18	Data mining using neural fuzzy for student relationship management 2002 ·Murdoch Research Repository (Murdoch University) ·Kai-Kit Wong, Chun Che Fung, Tom Gedeon	3
19	Using modified alpha-cut based fuzzy interpolation in petrophysical properties prediction 2000 ·Murdoch Research Repository (Murdoch University) ·(unknown), Tom Gedeon, Chun Che Fung	2
20	Effects of orientation and spatial frequency on monocular and binocular rivalry 1998 ·ePublications@SCU (Southern Cross University) ·Nikola Kasabov, Róbert Kozma, (unknown), Robert P. O’Shea, George Coghill, Tom Gedeon	12

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact