Felipe Cabarcas

954 citations
34 papers · 453 · h-index 13

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems
    • Advanced Data Storage Technologies
    • Error Correcting Code Techniques

Papers in

Felipe Cabarcas

33 papers receiving 442 citations

Peers

Felipe Cabarcas
Comparison fields: 5 of 78
  • Hardware and Architecture 179
  • Computer Networks and Communications 228
  • Parasitology 41
  • Infectious Diseases 58
  • Pollution 33
Replace Chuwen Zhang with:
Chuwen Zhang China
Antonio González Spain
Anil Rawat India
Tarun Kumar Ghosh India
Prashant Chandra United States
Sasha Ames United States
Iris Liu United States
Kanghee Kim South Korea
Felipe Cabarcas relative to Chuwen Zhang China Chuwen Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Felipe Cabarcas

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Cabarcas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 202038
3 201035
4 201132
5 201830
6 202030
7 201226
8 200619
9 201916
10 200415
11 200914
12 202213
13 200613
14 201511
15 200411
16 202010
17 20208
18 20237
19 20227
20 20217

About Felipe Cabarcas

Felipe Cabarcas is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Electrical and Electronic Engineering and Infectious Diseases, having authored 34 papers that have together received 453 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (7 papers), Error Correcting Code Techniques (7 papers), Advanced Data Storage Technologies (6 papers), Genomics and Phylogenetic Studies (5 papers), Parasitic Infections and Diagnostics (4 papers), Advanced Wireless Communication Techniques (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Hardware and Architecture (179 citations), Computer Networks and Communications (228 citations), Parasitology (41 citations), Infectious Diseases (58 citations) and Pollution (33 citations). Felipe Cabarcas has collaborated with scholars based in Colombia, Spain and United States. Frequent co-authors include Juan F. Álzate, Javier Garcia‐Frias, Alex Ramírez, Mateo Valero, Yoav Etsion, Alejandro Rico, Jesús Labarta, Rosa M. Badía, Eduard Ayguadé and Richard Demo Souza. Their work appears in journals such as PeerJ, The Science of The Total Environment, IEEE Transactions on Signal Processing, Gene and PLoS ONE.

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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