Eric Backer

2.0k citations
40 papers · 1.5k · h-index 14

Impact in

Papers in

Eric Backer

38 papers receiving 1.4k citations

Peers

Eric Backer
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 685
  • Signal Processing 204
  • Artificial Intelligence 576
  • Media Technology 122
  • Biophysics 61
Replace Craig J. Saunders with:
Craig J. Saunders United Kingdom
Jarkko Venna Finland
Hossein Mobahi United States
Tibério S. Caetano Australia
Elżbieta Pękalska Netherlands
Jason Yosinski United States
Cor J. Veenman Netherlands
Stéphane Marchand‐Maillet Switzerland
Neil Houlsby United States
Ioannis Tsochantaridis United States
Eric Backer relative to Craig J. Saunders United Kingdom Craig J. Saunders's profile →
Citations per field
00.5×2×3.2×
Craig J. Saunders · 1×
Citations per year

Countries citing papers authored by Eric Backer

Since Specialization
Citations

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

Fields of papers citing papers by Eric Backer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002366
2 2001242
3 2002139
4 1981137
5 2000114
6
Computer-assisted reasoning in cluster analysis
199586
7 199575
8 200338
9 198037
10 200535
11 200530
12 200329
13 198927
14 198620
15 198011
16 200311
17 200610
18 20069
19 20039
20 20069

About Eric Backer

Eric Backer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Music and Statistics and Probability, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Gene Regulatory Network Analysis (5 papers), Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Gene expression and cancer classification (5 papers), Medical Image Segmentation Techniques (5 papers), Neural Networks and Applications (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (685 citations), Signal Processing (204 citations), Artificial Intelligence (576 citations), Media Technology (122 citations) and Biophysics (61 citations). Eric Backer has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Marcel Reinders, Cor J. Veenman, Anil Kumar Jain, Jan J. Gerbrands, Peter van Kranenburg, John G. M. Schavemaker, Lodewyk F.A. Wessels, Eugene P. van Someren, Jan C. A. van der Lubbe and Robert P. W. Duin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, Pattern Recognition, Signal Processing and Artificial Intelligence.

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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