Fernando Crespo

34 papers receiving 507 citations

Peers

Fernando Crespo
Comparison fields: 5 of 128
  • Catalysis 67
  • Filtration and Separation 15
  • Signal Processing 73
  • Computational Theory and Mathematics 105
  • Artificial Intelligence 166
Replace Jan Scheffczyk with:
Jan Scheffczyk Germany
Hai Wang United Kingdom
Dan Shen China
Ruchi Mittal India
Sung-Bong Yang South Korea
Qin Li China
Yueping Li China
John A. Biles United States
Marco Moreno-Ibarra Mexico
Fernando Crespo relative to Jan Scheffczyk Germany Jan Scheffczyk's profile →
Citations per field
00.5×10.4×
Jan Scheffczyk · 1×
Citations per year

Countries citing papers authored by Fernando Crespo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Crespo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 2004107
3 201793
4 201245
5
Revista Latinoamericana de Psicología
201135
6 201316
7 20167
8 20107
9 20216
10 20166
11 20126
12 20235
13
Categorización social y cogniciones infantiles sobre la pobreza en niños: Una mirada desde el esencialismo psicológico
20115
14 20015
15 20135
16 20123
17 20163
18 20162
19 20222
20 20242

About Fernando Crespo

Fernando Crespo is a scholar working on Sociology and Political Science, Information Systems, Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 36 papers that have together received 533 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Data Management and Algorithms (4 papers), Rough Sets and Fuzzy Logic (4 papers), Crime Patterns and Interventions (4 papers), Early Childhood Education and Development (3 papers), Advanced Clustering Algorithms Research (3 papers), Crime, Illicit Activities, and Governance (3 papers) and Psychological Well-being and Life Satisfaction (2 papers). The work is most often cited by research in Catalysis (67 citations), Filtration and Separation (15 citations), Signal Processing (73 citations), Computational Theory and Mathematics (105 citations) and Artificial Intelligence (166 citations). Fernando Crespo has collaborated with scholars based in Chile, United States and Colombia. Frequent co-authors include Richard W. Weber, Georg Peters, Pawan Lingras, Rodrigo Ramírez‐Tagle, Nadia Guajardo, Carlos Carlesi, Rodrigo Schrebler, Ricardo B. Maccioni, Gonzalo Farías and Patricio Fuentes. Their work appears in journals such as IEEE Technology and Society Magazine, Applied Network Science, Fuzzy Sets and Systems, Genetics 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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