Carmen Martínez

435 citations
31 papers · 243 indexed · h-index 9

Carmen Martínez

27 papers receiving 230 citations

Peers

Carmen Martínez
Comparison fields: 5 of 30
  • Computer Networks and Communications 177
  • Hardware and Architecture 48
  • Discrete Mathematics and Combinatorics 20
  • Computational Theory and Mathematics 49
  • Artificial Intelligence 79
Replace S. Pérennes with:
S. Pérennes France
Anand Tripathi United States
Toru Araki Japan
Petr Gregor Czechia
Yoshihide Igarashi Japan
Shyue-Ming Tang Taiwan
Marie-Claude Heydemann France
Lih-Hsing Hsu Taiwan
Liqiong Xu China
Shuming Zhou China
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Citations per year

Countries citing papers authored by Carmen Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Carmen Martínez, 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 Carmen Martínez Line = papers co-authored together Carmen Martínez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20221
4 20222
5 20212
6 20189
7 20185
8 20133
9 20120
10
Symmetric L-graphs
20111
11
Peripheral twists for torus topologies with arbitrary aspect ratio
20110
12 20102
13 20101
14 20082
15 20077
16 200710
17 200625
18 20055
19 20041
20
Characterization of the Class of Optimal Dense Circulant Graphs of Degree Four
20031

About Carmen Martínez

Carmen Martínez is a scholar working on Computer Networks and Communications, Hardware and Architecture, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 31 papers that have together received 243 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (20 papers), Coding theory and cryptography (9 papers), Advanced Optical Network Technologies (9 papers), graph theory and CDMA systems (8 papers), Cooperative Communication and Network Coding (8 papers), Parallel Computing and Optimization Techniques (7 papers), Software-Defined Networks and 5G (5 papers) and Supercapacitor Materials and Fabrication (5 papers). The work is most often cited by research in Computer Networks and Communications (177 citations), Hardware and Architecture (48 citations), Discrete Mathematics and Combinatorics (20 citations), Computational Theory and Mathematics (49 citations) and Artificial Intelligence (79 citations). Carmen Martínez has collaborated with scholars based in Spain, Russia and Australia. Frequent co-authors include Ramón Beivide, E.M. Gabidulin, Enrique Vallejo, Miquel Moretó, R. Beivide, José Miguel-Alonso, Javier Navaridas, Cruz Izu, Jaime Gutiérrez and Reginaldo Palazzo. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Information Theory, IEEE Transactions on Learning Technologies, IEEE Micro and Problems of Information Transmission.

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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