Eric Postma

4.6k citations

100 papers · 2.9k indexed · 1 hit paper · h-index 19

Impact in

Computer Vision and Pattern Recognition top 1%
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Cognitive Neuroscience top 5%
- Aesthetic Perception and Analysis

Papers in ⓘ

Cognitive Neuroscience 41
- Neural dynamics and brain function 15
- Face Recognition and Perception 12
- Aesthetic Perception and Analysis 10
- Visual perception and processing mechanisms 6
Computer Vision and Pattern Recognition 37
- Image Retrieval and Classification Techniques 10
- Visual Attention and Saliency Detection 9
- Advanced Image and Video Retrieval Techniques 7

Co-authors: H.J. van den Herik (31 shared papers)Laurens van der Maaten (4 shared papers)Nanne van Noord (4 shared papers)I.G. Sprinkhuizen-Kuyper (9 shared papers)Pieter Spronck (8 shared papers)Ella Hendriks (2 shared papers)Marc Ponsen (1 shared paper)Tim van Emmerik (1 shared paper)
Journals: Pattern Recognition Letters (4 papers)Cognitive Science (4 papers)IEEE Signal Processing Magazine (2 papers)Frontiers in Psychology (2 papers)Radiotherapy and Oncology (2 papers)
Partner nations: Netherlands Japan United States

In The Last Decade

Eric Postma

93 papers receiving 2.7k citations

Hit Papers

align trajectories log scale

Dimensionality Reduction: A Comparative Review 2009 · 1.4k citations

Peers

Countries citing papers authored by Eric Postma

Since Specialization

Citations

This map shows the geographic impact of Eric Postma'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 Eric Postma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Postma more than expected).

Fields of papers citing papers by Eric Postma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Postma. 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 Eric Postma. The network helps show where Eric Postma may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Postma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Postma Line = papers co-authored together Eric Postma links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Dimensionality Reduction: A Comparative Review Laurens van der Maaten, Eric Postma, H.J. van den Herik Hit paper breakdown →	2009	1415
2	Image processing for artist identification IEEE Signal Processing Magazine ·Craig Johnson, Ella Hendriks, Igor Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric Postma, James Z. Wang	2008	192
3	Adaptive game AI with dynamic scripting Machine Learning ·Pieter Spronck, Marc Ponsen, I.G. Sprinkhuizen-Kuyper, Eric Postma	2006	163
4	Learning scale-variant and scale-invariant features for deep image classification Pattern Recognition ·Nanne van Noord, Eric Postma	2016	126
5	Automated River Plastic Monitoring Using Deep Learning and Cameras Earth and Space Science ·Colin van Lieshout, Kees van Oeveren, Tim van Emmerik, Eric Postma	2020	90
6	Toward Discovery of the Artist's Style: Learning to recognize artists by their artworks IEEE Signal Processing Magazine ·Nanne van Noord, Ella Hendriks, Eric Postma	2015	69
7	Development and external validation of a predictive model for pathological complete response of rectal cancer patients including sequential PET-CT imaging Radiotherapy and Oncology ·Ruud G.P.M. van Stiphout, Guido Lammering, Jeroen Buijsen, Marco H.M. Janssen, Maria Antonietta Gambacorta, Pieter Slagmolen, Maarten Lambrecht, Domenico Rubello, Marcello Gava, Alessandro Giordano, Eric Postma, Karin Haustermans, Carlo Capirci, Vincenzo Valentini, Philippe Lambin	2010	64
8	The Use of Computer Vision to Analyze Brand-Related User Generated Image Content Journal of Interactive Marketing ·Annemarie Nanne, Marjolijn L. Antheunis, Chris G. van der Lee, Eric Postma, Sander Wubben, Guda van Noort	2020	61
9	Computer analysis of Van Gogh’s complementary colours Pattern Recognition Letters ·Igor Berezhnoy, Eric Postma, H.J. van den Herik	2006	37
10	Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs Radiology Artificial Intelligence ·Nils Hendrix, Ernst T. Scholten, Bastiaan Vernhout, Stefan Bruijnen, Bas Maresch, Mathijn de Jong, S.C.E. Diepstraten, Stijn Bollen, Steven Schalekamp, Maarten de Rooij, Alexander Scholtens, Ward Hendrix, Tijs Samson, Lee‐Ling Sharon Ong, Eric Postma, Bram van Ginneken, Matthieu Rutten	2021	32
11	On-line Adaptation of Game Opponent AI with Dynamic Scripting. Pieter Spronck, I.G. Sprinkhuizen-Kuyper, Eric Postma	2004	31
12	On-Line Adaptation of Game Opponent AI in Simulation and in Practice. Pieter Spronck, I.G. Sprinkhuizen-Kuyper, Eric Postma	2003	29
13	Automatic extraction of brushstroke orientation from paintings Machine Vision and Applications ·Igor Berezhnoy, Eric Postma, H.J. van den Herik	2008	28
14	The promise of social signal processing for research on decision-making in entrepreneurial contexts Small Business Economics ·Werner Liebregts, Pourya Darnihamedani, Eric Postma, Martin Atzmueller	2019	27
15	Improving automatic writer identification. Laurens van der Maaten, Eric Postma	2005	26
16	Outlier Detection with One-Class Classifiers from ML and KDD Jeroen Janssens, Ildikó Flesch, Eric Postma	2009	23
17	SCAN: A Scalable Model of Attentional Selection Neural Networks ·Eric Postma, H.J. van den Herik, Patrick Hudson	1997	22
18	Combining Structural Connectivity and Response Latencies to Model the Structure of the Visual System PLoS Computational Biology ·Michael Capalbo, Eric Postma, Rainer Goebel	2008	21
19	Computerized visual analysis of paintings Igor Berezhnoy, Eric Postma, H.J. van den Herik	2005	18
20	Auditory perception bias in speech imitation Frontiers in Psychology ·Marie Postma-Nilsenová, Eric Postma	2013	16

About Eric Postma

Eric Postma is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Face Recognition and Perception (12 papers), Aesthetic Perception and Analysis (10 papers), Image Retrieval and Classification Techniques (10 papers), Visual Attention and Saliency Detection (9 papers), Neural Networks and Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Cognitive Neuroscience (557 citations), Artificial Intelligence (895 citations), Health Informatics (34 citations) and Conservation (78 citations). Eric Postma has collaborated with scholars based in Netherlands, Japan and United States. Frequent co-authors include H.J. van den Herik, Laurens van der Maaten, Nanne van Noord, I.G. Sprinkhuizen-Kuyper, Pieter Spronck, Ella Hendriks, Marc Ponsen, Tim van Emmerik, Eugene Brevdo and James Z. Wang. Their work appears in journals such as Pattern Recognition Letters, Cognitive Science, IEEE Signal Processing Magazine, Frontiers in Psychology and Radiotherapy and Oncology.

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.

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