J. Bins

486 citations
14 papers · 222 · h-index 8

Impact in

    • Video Surveillance and Tracking Methods
    • Face and Expression Recognition
    • Human Pose and Action Recognition
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Anomaly Detection Techniques and Applications
    • Neural Networks and Applications

Papers in

J. Bins

14 papers receiving 203 citations

Peers

J. Bins
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 130
  • Artificial Intelligence 107
  • Signal Processing 26
  • Hardware and Architecture 8
  • Media Technology 7
Replace Frank R. Schmidt with:
Frank R. Schmidt Germany
Alejandra Mercado United States
Donghui Wang China
Mingsheng Cao China
Keren Tan United States
Shijie Li China
Aritra Dutta Saudi Arabia
Chris Ying United States
Changhui Hu China
J. Cloutier Canada
J. Bins relative to Frank R. Schmidt Germany Frank R. Schmidt's profile →
Citations per field
00.5×1.5×
Frank R. Schmidt · 1×
Citations per year

Countries citing papers authored by J. Bins

Since Specialization
Citations

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

Fields of papers citing papers by J. Bins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside J. Bins, 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 J. Bins Line = papers co-authored together J. Bins links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200296
2 200629
3 200218
4 200613
5 200311
6 20129
7 20118
8 19997
9
Two Approaches to a Plug-and-Play Vision Architecture – CAVIAR and Psyclone
20057
10 20066
11 20096
12 20065
13 20095
14
Evaluating Feature Relevance: Reducing Bias in Relief.
20022

About J. Bins

J. Bins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Electrical and Electronic Engineering, having authored 14 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Face and Expression Recognition (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Surveillance and Tracking Methods (3 papers), Robotics and Sensor-Based Localization (2 papers), Machine Learning and Data Classification (2 papers), Image Retrieval and Classification Techniques (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Artificial Intelligence (107 citations), Signal Processing (26 citations), Hardware and Architecture (8 citations) and Media Technology (7 citations). J. Bins has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Bruce A. Draper, Robert B. Fisher, Cláudio R. Jung, Walid Najjar, Cláudio Rosito Jung, Charles A. Ross, W. Böhm, M. Chawathe, Amir Said and A.A.C.M. Kalker. Their work appears in journals such as Journal of Mathematical Imaging and Vision and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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