Mario J. Pérez-Jímenez

10.8k citations
313 papers · 6.3k indexed · h-index 45

Mario J. Pérez-Jímenez

293 papers receiving 5.9k citations

Peers

Mario J. Pérez-Jímenez
Comparison fields: 5 of 126
  • Computational Theory and Mathematics 1.7k
  • Molecular Biology 5.2k
  • Mechanical Engineering 2.7k
  • Artificial Intelligence 832
  • Electrical and Electronic Engineering 1.1k
Replace Linqiang Pan with:
Linqiang Pan China
Gexiang Zhang China
Sen Zhang China
Bijoy K. Ghosh United States
Fernando J. Von Zuben Brazil
Andy M. Tyrrell United Kingdom
Min Jiang China
Özgür B. Akan Türkiye
Mario J. Pérez-Jímenez relative to Linqiang Pan China Linqiang Pan's profile →
Citations per field
00.5×1.5×
Linqiang Pan · 1×
Citations per year

Countries citing papers authored by Mario J. Pérez-Jímenez

Since Specialization
Citations

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

Fields of papers citing papers by Mario J. Pérez-Jímenez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario J. Pérez-Jímenez. 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 Mario J. Pérez-Jímenez. The network helps show where Mario J. Pérez-Jímenez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20233
5 20234
6 20212
7 20214
8
Analysis of P systems simulation on CUDA
20181
9 20186
10 20183
11 201821
12
Computational Efficiency of Cellular Division in Tissue-like Membrane Systems
201711
13 2017105
14
On the Reachability Problem for P systems with Porters.
20160
15 20142
16 201340
17 20081
18 20082
19
Representations and characterizations of languages in chomsky hierarchy by means of insertion-deletion systems
20072
20
Información : tratamiento y representación
20010

About Mario J. Pérez-Jímenez

Mario J. Pérez-Jímenez is a scholar working on Computational Theory and Mathematics, Molecular Biology and Mechanical Engineering, having authored 313 papers that have together received 6.3k indexed citations. Recurring topics across this work include DNA and Biological Computing (276 papers), Advanced biosensing and bioanalysis techniques (167 papers), Modular Robots and Swarm Intelligence (134 papers), Cellular Automata and Applications (78 papers), Advanced Memory and Neural Computing (20 papers), Network Packet Processing and Optimization (15 papers), semigroups and automata theory (13 papers) and Algorithms and Data Compression (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Molecular Biology (5.2k citations) and Mechanical Engineering (2.7k citations). Mario J. Pérez-Jímenez has collaborated with scholars based in Spain, China and Romania. Frequent co-authors include Gheorghe Pǎun, Agustín Riscos–Núñez, Hong Peng, Jun Wang, Linqiang Pan, Gexiang Zhang, Luis Valencia–Cabrera, Marian Gheorghe, David Orellana-Martín and Bosheng Song. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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