Benjamı́n Béjar

1.3k citations
36 papers · 790 · h-index 12

Impact in

Papers in

Benjamı́n Béjar

33 papers receiving 775 citations

Peers

Benjamı́n Béjar
Comparison fields: 5 of 98
  • Health Informatics 24
  • Modeling and Simulation 47
  • Computer Vision and Pattern Recognition 162
  • Surgery 280
  • Human-Computer Interaction 30
Replace Ahmed M. Soliman with:
Ahmed M. Soliman Egypt
David A. Clifton United Kingdom
Robert Dürichen Germany
Matteo Danieletto United States
Zoran Kostić United States
Youssoufa Mohamadou Cameroon
Huan Tan United States
Steven E. Butner United States
Stephan Wegerich United States
Farman Ali Pakistan
Benjamı́n Béjar relative to Ahmed M. Soliman Egypt Ahmed M. Soliman's profile →
Citations per field
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Ahmed M. Soliman · 1×
Citations per year

Countries citing papers authored by Benjamı́n Béjar

Since Specialization
Citations

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

Fields of papers citing papers by Benjamı́n Béjar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017216
2 2013123
3 201284
4 201253
5 202353
6 201349
7 201334
8 201122
9 201019
10 201716
11 201815
12 202212
13 201511
14 202410
15
Improved Animal Tracking Algorithms Using Distributed Kalman-based Filters
20118
16 20128
17 20108
18 20187
19 20115
20 20245

About Benjamı́n Béjar

Benjamı́n Béjar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Radiation, having authored 36 papers that have together received 790 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Indoor and Outdoor Localization Technologies (5 papers), Distributed Control Multi-Agent Systems (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Cooperative Communication and Network Coding (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Human Pose and Action Recognition (4 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). The work is most often cited by research in Health Informatics (24 citations), Modeling and Simulation (47 citations), Computer Vision and Pattern Recognition (162 citations), Surgery (280 citations) and Human-Computer Interaction (30 citations). Benjamı́n Béjar has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include René Vidal, Luca Zappella, Gregory D. Hager, Santiago Zazo, Fabio Versolatto, Andrea M. Tonello, Narges Ahmidi, Yixin Gao, Sanjeev P. Khudanpur and Lingling Tao. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Applied Crystallography, Optics Express, Signal Processing and IEEE Transactions on Pattern Analysis and Machine 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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