Miguel P. Eckstein

7.8k citations
233 papers · 5.7k · h-index 41

Impact in

Papers in

Miguel P. Eckstein

214 papers receiving 5.6k citations

Peers

Miguel P. Eckstein
Comparison fields: 5 of 129
  • Cognitive Neuroscience 3.7k
  • Computer Vision and Pattern Recognition 1.7k
  • Human-Computer Interaction 446
  • Sensory Systems 250
  • Experimental and Cognitive Psychology 616
Replace Wilson S. Geisler with:
Wilson S. Geisler United States
Walter F. Bischof Canada
Paul Sajda United States
Felix A. Wichmann Germany
Gordon E. Legge United States
Andrew B. Watson United States
Stephen L. Macknik United States
Ken Nakayama United States
Eli Peli United States
Manuel Lopes France
Miguel P. Eckstein relative to Wilson S. Geisler United States Wilson S. Geisler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miguel P. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by Miguel P. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel P. Eckstein. 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 Miguel P. Eckstein. The network helps show where Miguel P. Eckstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Miguel P. Eckstein, 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 Miguel P. Eckstein Line = papers co-authored together Miguel P. Eckstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000380
2 2011348
3 2012231
4 2000229
5 1998193
6 2006160
7 2011143
8 2002140
9 2013137
10 1997120
11 200299
12 200494
13 200292
14 200390
15 201488
16 201487
17 199982
18 199675
19 200471
20 199869

About Miguel P. Eckstein

Miguel P. Eckstein is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 233 papers that have together received 5.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (88 papers), Visual Attention and Saliency Detection (48 papers), Neural dynamics and brain function (39 papers), Neural and Behavioral Psychology Studies (38 papers), Face Recognition and Perception (34 papers), Digital Radiography and Breast Imaging (29 papers), AI in cancer detection (22 papers) and Infrared Target Detection Methodologies (15 papers). The work is most often cited by research in Cognitive Neuroscience (3.7k citations), Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (446 citations), Sensory Systems (250 citations) and Experimental and Cognitive Psychology (616 citations). Miguel P. Eckstein has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Craig K. Abbey, Steven S. Shimozaki, Matthew Peterson, François Bochud, M. Carrasco, Binh T. Pham, Barry Giesbrecht, James S. Whiting, Albert J. Ahumada and Brent R. Beutter. Their work appears in journals such as Journal of Vision, Journal of the Optical Society of America A, Vision Research, IEEE Transactions on Medical Imaging and Medical Physics.

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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