Fernando Crespo

28 papers receiving 429 citations

Peers

Fernando Crespo
Comparison fields: 5 of 129
  • Catalysis 63
  • Filtration and Separation 14
  • Signal Processing 56
  • Computational Theory and Mathematics 80
  • Artificial Intelligence 133
Replace Jan Scheffczyk with:
Jan Scheffczyk Germany
Dan Shen China
Yihan Wang China
Marcos G. Quiles Brazil
Marco Moreno-Ibarra Mexico
John A. Biles United States
Roberto Ruíz Spain
Kefei Wang China
Yuanzhe Chen China
Fernando Crespo relative to Jan Scheffczyk Germany Jan Scheffczyk's profile →
Citations per field
00.5×11.2×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 200487
3 201786
4 201238
5
Revista Latinoamericana de Psicología
201131
6 201313
7 20216
8
Categorización social y cogniciones infantiles sobre la pobreza en niños: Una mirada desde el esencialismo psicológico
20115
9 20165
10 20105
11 20015
12 20165
13 20234
14 20163
15 20162
16 20232
17 20112
18 20122
19 20222
20 20152

About Fernando Crespo

Fernando Crespo is a scholar working on Sociology and Political Science, Information Systems, Artificial Intelligence, Education and Social Psychology, having authored 30 papers that have together received 451 indexed citations. Recurring topics across this work include 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), Data Mining Algorithms and Applications (3 papers), Data Management and Algorithms (2 papers), Diabetes Management and Research (2 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (2 papers). The work is most often cited by research in Catalysis (63 citations), Filtration and Separation (14 citations), Signal Processing (56 citations), Computational Theory and Mathematics (80 citations) and Artificial Intelligence (133 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, Carlos Carlesi, Nadia Guajardo, Rodrigo Ramírez‐Tagle, María Domínguez, Rodrigo Schrebler, Gonzalo Farías and Ricardo B. Maccioni. Their work appears in journals such as Scientific Reports, International Journal of Approximate Reasoning, IEEE Technology and Society Magazine, Archives of Medical Research and Applied Network Science.

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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