Alfonso Mateos

75 papers receiving 653 citations

Peers

Alfonso Mateos
Comparison fields: 5 of 98
  • Management Science and Operations Research 388
  • General Decision Sciences 18
  • Animal Science and Zoology 75
  • Statistics and Probability 60
  • Statistics, Probability and Uncertainty 38
Replace Sébastien Destercke with:
Sébastien Destercke France
Roy E. Lave United States
Kai Meng Tay Malaysia
Wolfgang Gaul Germany
Waterman United States
H. Arsham United States
Yumei Wang China
Xingsen Li China
Razamin Ramli Malaysia
Francisco Gómez-Vela Spain
Alfonso Mateos relative to Sébastien Destercke France Sébastien Destercke's profile →
Citations per field
00.5×9.4×
Sébastien Destercke · 1×
Citations per year

Countries citing papers authored by Alfonso Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alfonso Mateos, 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 Alfonso Mateos Line = papers co-authored together Alfonso Mateos 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 200389
2 200443
3 200733
4 201233
5 200529
6 200027
7 200526
8 200625
9 201424
10 200723
11 200622
12 200519
13 201318
14 200517
15 200117
16 200315
17 200513
18 202013
19 201612
20 200311

About Alfonso Mateos

Alfonso Mateos is a scholar working on Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 82 papers that have together received 701 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (35 papers), Bayesian Modeling and Causal Inference (11 papers), Vehicle Routing Optimization Methods (8 papers), Fuzzy Systems and Optimization (7 papers), Economic and Environmental Valuation (7 papers), Scheduling and Timetabling Solutions (6 papers), Data Management and Algorithms (5 papers) and Information and Cyber Security (5 papers). The work is most often cited by research in Management Science and Operations Research (388 citations), General Decision Sciences (18 citations), Animal Science and Zoology (75 citations), Statistics and Probability (60 citations) and Statistics, Probability and Uncertainty (38 citations). Alfonso Mateos has collaborated with scholars based in Spain, Sweden and Malaysia. Frequent co-authors include Antonio Jiménez Martín, Sixto Ríos‐Insua, Eduardo Gallego, A. Daza, C.J. López-Bote, A.I. Rey, David Rı́os Insua, Gregorio Tirado, Josefa Z. Hernández and Luis Carlos Rodríguez‐Zapata. Their work appears in journals such as Group Decision and Negotiation, Knowledge-Based Systems, International Transactions in Operational Research, Meat Science and Journal of Multi-Criteria Decision Analysis.

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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