Alejandro Arbeláez

22 papers receiving 110 citations

Peers

Alejandro Arbeláez
Comparison fields: 5 of 35
  • Industrial and Manufacturing Engineering 26
  • Computer Networks and Communications 56
  • Software 6
  • Signal Processing 15
  • Artificial Intelligence 41
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Didier Chételat Canada
François Laburthe France
Laurent Perron United States
Jörg Bremer Germany
Jean‐Pierre Georgé France
Leszek Siwik Poland
Tarik Hadžić Ireland
Domagoj Matijević Croatia
Alireza Rezaei Mahdiraji Germany
Mona Arafa Egypt
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Citations per year

Countries citing papers authored by Alejandro Arbeláez

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Arbeláez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201016
2
Online Heuristic Selection in Constraint Programming
200915
3 202312
4 201711
5 20149
6 20158
7 20227
8 20125
9 20185
10 20234
11
Timed Concurrent Constraint Programming in Systems Biology
20064
12 20133
13 20232
14 20092
15 20212
16
A Survey of Parallel Local Search for SAT
20131
17 20241
18 20171
19 20211
20 20141

About Alejandro Arbeláez

Alejandro Arbeláez is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 23 papers that have together received 112 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (11 papers), Advanced Optical Network Technologies (4 papers), Data Management and Algorithms (4 papers), Vehicle Routing Optimization Methods (4 papers), Scheduling and Timetabling Solutions (4 papers), Electric Vehicles and Infrastructure (3 papers), AI-based Problem Solving and Planning (3 papers) and Advanced Photonic Communication Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (26 citations), Computer Networks and Communications (56 citations), Software (6 citations), Signal Processing (15 citations) and Artificial Intelligence (41 citations). Alejandro Arbeláez has collaborated with scholars based in Ireland, Japan and Spain. Frequent co-authors include Youssef Hamadi, Philippe Codognet, Michèle Sébag, Barry O’Sullivan, Charlotte Truchet, Deepak Mehta, Christian Pérez, Miguel Á. Salido, Florian Richoux and Julián Gutiérrez. Their work appears in journals such as Journal of Heuristics, Top, Engineering Applications of Artificial Intelligence, Computer Applications in Engineering Education and Theory and Practice of Logic Programming.

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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