Salvador Coll

802 total citations
22 papers, 556 citations indexed

About

Salvador Coll is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Salvador Coll has authored 22 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Salvador Coll's work include Interconnection Networks and Systems (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Distributed and Parallel Computing Systems (5 papers). Salvador Coll is often cited by papers focused on Interconnection Networks and Systems (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Distributed and Parallel Computing Systems (5 papers). Salvador Coll collaborates with scholars based in United States, Spain and Vietnam. Salvador Coll's co-authors include Fabrizio Petrini, Eitan Frachtenberg, Adolfy Hoisie, Wu-chun Feng, J. Duato, Leonid Gurvits, Pedro López, Juan Fernández, Scott Pakin and Francisco Mora and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Salvador Coll

22 papers receiving 512 citations

Peers

Salvador Coll
Comparison fields: 5 of 27
  • Computer Networks and Communications 531
  • Hardware and Architecture 421
  • Electrical and Electronic Engineering 110
  • Information Systems 74
  • Electronic, Optical and Magnetic Materials 28
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Citations per field, relative to Salvador Coll
Salvador Coll · 1×
Citations per year, relative to Salvador Coll
Salvador Coll · 1×

Countries citing papers authored by Salvador Coll

Since Specialization
Citations

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

Fields of papers citing papers by Salvador Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvador Coll

This figure shows the co-authorship network connecting the top 25 collaborators of Salvador Coll. A scholar is included among the top collaborators of Salvador Coll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salvador Coll. Salvador Coll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 9
5 11
6 8
7 17
8 4
9 16
10 2
11 53
12 10
13 11
14 32
15 63
16 12
17 2
18 228
19 40
20 27

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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2026