Eric Hayman

1.5k citations
22 papers · 1.3k · h-index 13

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Vision and Imaging
    • Optical measurement and interference techniques
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Eric Hayman

21 papers receiving 1.2k citations

Peers

Eric Hayman
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 1.1k
  • Geology 48
  • Computer Graphics and Computer-Aided Design 24
  • Industrial and Manufacturing Engineering 34
  • Computational Mathematics 2
Replace P. Hébert with:
P. Hébert Canada
Xianghua Ying China
Ki-Sang Hong South Korea
Matthias Rüther Austria
J.S. Beis Canada
Michal Perďoch Czechia
Yunsu Bok South Korea
H. C. Wolf United States
Jae-Young Sim South Korea
Les Kitchen Australia
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Citations per field
00.5×2×3.4×
P. Hébert · 1×
Citations per year

Countries citing papers authored by Eric Hayman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Eric Hayman, 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 Hayman Line = papers co-authored together Eric Hayman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004296
2 2005250
3 2001120
4 2002107
5 199991
6 200988
7 200369
8 199852
9 200549
10 200232
11 200330
12 199615
13 200614
14
Real-time texture detection using the LU-transform
200611
15 19999
16 20006
17 20026
18 20036
19
Figure-ground segmentation of image sequences from multiple cues
20023
20 20011

About Eric Hayman

Eric Hayman is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Aerospace Engineering, Media Technology and Nuclear Energy and Engineering, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (8 papers), Video Surveillance and Tracking Methods (5 papers), Image Retrieval and Classification Techniques (5 papers), Robotics and Sensor-Based Localization (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Geology (48 citations), Computer Graphics and Computer-Aided Design (24 citations), Industrial and Manufacturing Engineering (34 citations) and Computational Mathematics (2 citations). Eric Hayman has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Barbara Caputo, Lourdes Agapito, Ian D. Reid, Jan‐Olof Eklundh, Mario Fritz, Richard I. Hartley, David W. Murray, Robin Strand, Mehrdad Shahshahani and Mårten Björkman. Their work appears in journals such as International Journal of Computer Vision, Image and Vision Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Vision and Lecture notes in computer science.

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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