Ramón Béjar

989 citations
41 papers · 433 · h-index 11

Impact in

    • Mobile Ad Hoc Networks
    • Constraint Satisfaction and Optimization
    • Energy Efficient Wireless Sensor Networks
    • Opportunistic and Delay-Tolerant Networks
    • Cooperative Communication and Network Coding
    • Data Management and Algorithms

Papers in

Ramón Béjar

36 papers receiving 400 citations

Peers

Ramón Béjar
Comparison fields: 5 of 71
  • Computer Networks and Communications 280
  • Signal Processing 47
  • Computational Theory and Mathematics 58
  • Artificial Intelligence 113
  • Toxicology 7
Replace T. V. Geetha with:
T. V. Geetha India
Haimonti Dutta United States
Changjie Tang China
Omar Adwan Jordan
Hadi Tabatabaee Malazi Iran
Arun Kejariwal United States
Hein Meling Norway
Yuanfei Dai China
Dingyu Yang China
John Keeney Ireland
Ramón Béjar relative to T. V. Geetha India T. V. Geetha's profile →
Citations per field
00.5×9.0×
T. V. Geetha · 1×
Citations per year

Countries citing papers authored by Ramón Béjar

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Béjar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002129
2 200445
3
Distributed Constraint Satisfaction in a Wireless Sensor Tracking System
200134
4 200330
5 200316
6
Solving the Round Robin Problem Using Propositional Logic
200016
7 201715
8 200214
9 200314
10 202210
11 202110
12 20129
13 19988
14 20148
15 20217
16 20007
17 20207
18
The impact of balancing on problem hardness in a highly structured domain
20066
19 20105
20 20175

About Ramón Béjar

Ramón Béjar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 41 papers that have together received 433 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (10 papers), Multi-Agent Systems and Negotiation (8 papers), Logic, Reasoning, and Knowledge (7 papers), Formal Methods in Verification (7 papers), Complex Network Analysis Techniques (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Advanced Database Systems and Queries (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computer Networks and Communications (280 citations), Signal Processing (47 citations), Computational Theory and Mathematics (58 citations), Artificial Intelligence (113 citations) and Toxicology (7 citations). Ramón Béjar has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Stephen B. Wicker, B. Krishnamachari, Bhaskar Krishnamachari, Cèsar Fernández, Felip Manyà, Carla P. Gomes, Teresa Alsinet, Carles Mateu, Josep Argelich and Carlos Ansótegui. Their work appears in journals such as Applied Sciences, Soft Computing, Pattern Recognition Letters, Artificial Intelligence in Medicine and Constraints.

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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