Ignacio Javier Pérez

3.0k citations
60 papers · 2.3k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Ignacio Javier Pérez

53 papers receiving 2.2k citations

Hit Papers

A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts 2013 · 296 citations
296201320262017202150100150200250

Peers

Ignacio Javier Pérez
Comparison fields: 5 of 129
  • Management Science and Operations Research 1.6k
  • Computational Theory and Mathematics 596
  • Artificial Intelligence 981
  • Statistics and Probability 180
  • Signal Processing 141
Replace Zhibin Wu with:
Zhibin Wu China
Iván Palomares United Kingdom
Cong‐Cong Li China
Xuanhua Xu China
Raquel Ureña Spain
Juan Antonio Morente-Molinera Spain
Yucheng Dong China
Cuiping Wei China
Van‐Nam Huynh Japan
Zhang‐peng Tian China
Ignacio Javier Pérez relative to Zhibin Wu China Zhibin Wu's profile →
Citations per field
00.5×1.5×
Zhibin Wu · 1×
Citations per year

Countries citing papers authored by Ignacio Javier Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Javier Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ignacio Javier Pérez. 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 Ignacio Javier Pérez. The network helps show where Ignacio Javier Pérez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20244
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5 20241
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8 20230
9 20237
10 202329
11 20221
12 20222
13 201826
14 20151
15 2012199
16 201068
17 2010220
18 200992
19 2009257
20 20068

About Ignacio Javier Pérez

Ignacio Javier Pérez is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and General Dentistry, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (31 papers), Rough Sets and Fuzzy Logic (16 papers), Data Management and Algorithms (10 papers), Fuzzy Logic and Control Systems (8 papers), Cognitive Science and Mapping (8 papers), Semantic Web and Ontologies (7 papers), Cognitive Computing and Networks (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Computational Theory and Mathematics (596 citations), Artificial Intelligence (981 citations), Statistics and Probability (180 citations) and Signal Processing (141 citations). Ignacio Javier Pérez has collaborated with scholars based in Spain, China and Canada. Frequent co-authors include Enrique Herrera‐Viedma, Francisco Javier Cabrerizo, Sergio Alonso, Juan Antonio Morente-Molinera, Raquel Ureña, Juan Manuel Moreno, Francisco Chiclana, Yucheng Dong, Rubén Heradio and Javier López Gijón. Their work appears in journals such as Information Sciences, Knowledge-Based Systems, Expert Systems with Applications, Applied Soft Computing and Soft Computing.

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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