Núria Agell

1.4k citations
82 papers · 1.1k · h-index 21

Impact in

Papers in

Núria Agell

77 papers receiving 1.1k citations

Peers

Núria Agell
Comparison fields: 5 of 119
  • Management Science and Operations Research 519
  • Computational Theory and Mathematics 233
  • Artificial Intelligence 338
  • Industrial and Manufacturing Engineering 90
  • Strategy and Management 124
Replace Luiz Flávio Autran Monteiro Gomes with:
Luiz Flávio Autran Monteiro Gomes Brazil
Adiel Teixeira de Almeida Filho Brazil
Qun Wu China
İlker Gölcük Türkiye
Mi Zhou China
Zhongliang Yue China
Hong‐gang Peng China
Deng-Feng Li China
Xiaomei Mi China
Peiwu Dong China
Núria Agell relative to Luiz Flávio Autran Monteiro Gomes Brazil Luiz Flávio Autran Monteiro Gomes's profile →
Citations per field
00.5×1.5×1.9×
Luiz Flávio Autran Monteiro Gomes · 1×
Citations per year

Countries citing papers authored by Núria Agell

Since Specialization
Citations

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

Fields of papers citing papers by Núria Agell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 201676
3 201171
4 201859
5 201650
6 201247
7 201741
8 202038
9 201036
10 201736
11 202330
12 200830
13 200530
14 201528
15 201727
16 201626
17 201825
18 200525
19 200624
20 201722

About Núria Agell

Núria Agell is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Sociology and Political Science, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (37 papers), Rough Sets and Fuzzy Logic (14 papers), Fuzzy Logic and Control Systems (10 papers), Cognitive Science and Mapping (8 papers), Neural Networks and Applications (6 papers), AI-based Problem Solving and Planning (5 papers), Advanced Algebra and Logic (4 papers) and Fuzzy Systems and Optimization (4 papers). The work is most often cited by research in Management Science and Operations Research (519 citations), Computational Theory and Mathematics (233 citations), Artificial Intelligence (338 citations), Industrial and Manufacturing Engineering (90 citations) and Strategy and Management (124 citations). Núria Agell has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Mónica Sánchez, Mohammad Ghaderi, Cecilio Ángulo, Lázaro V. Cremades, Xunjie Gou, Zeshui Xu, J. M. Baldasano, Santiago Gassó, Leonor Patricia Güereca and Miłosz Kadziński. Their work appears in journals such as Applied Soft Computing, Pattern Recognition Letters, Information Fusion, Annals of Operations Research and Cognitive Systems Research.

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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