Ana Peleteiro

668 citations
18 papers · 423 indexed · h-index 10
Topics
Evolutionary Game Theory and Cooperation (6 papers)Recommender Systems and Techniques (5 papers)Game Theory and Applications (3 papers)

In The Last Decade

Ana Peleteiro

18 papers receiving 406 citations

Peers

Ana Peleteiro
Comparison fields: 5 of 58
  • Information Systems 281
  • Sociology and Political Science 125
  • Computer Vision and Pattern Recognition 109
  • Artificial Intelligence 99
  • Computer Networks and Communications 64
Replace Fernando Díez with:
Fernando Díez Spain
Mohammad Yahya H. Al-Shamri Saudi Arabia
Simon Dooms Belgium
Marta Rey-López Spain
Aminu Da’u Malaysia
Xiangwu Meng China
Justin Basilico United States
Yi Fang United States
Manolis G. Vozalis Greece
Rahul Pandey United States
Ana Peleteiro relative to Fernando Díez Spain Fernando Díez's profile →
Citations per field
00.5×1.5×2.5×
Fernando Díez · 1×
Citations per year

Countries citing papers authored by Ana Peleteiro

Since Specialization
Citations

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

Fields of papers citing papers by Ana Peleteiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Peleteiro

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Peleteiro. A scholar is included among the top collaborators of Ana Peleteiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ana Peleteiro. Ana Peleteiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 5
2 2
3 5
4 10
5 18
6 15
7 4
8 5
9 4
10 23
11 13
12 1
13 10
14 24
15 1
16 9
17 19
18 255

About Ana Peleteiro

Ana Peleteiro is a scholar working on Management Science and Operations Research, Safety Research and Discrete Mathematics and Combinatorics, having authored 18 papers that have together received 423 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (6 papers), Recommender Systems and Techniques (5 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Information Systems (281 citations), Computational Mathematics (5 citations) and Transportation (40 citations). Ana Peleteiro has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Juan C. Burguillo, Fernando A. Mikic-Fonte, Ana Belén Barragáns Martínez, Marta Rey-López, Enrique Costa‐Montenegro, Josep Lluís Arcos, Juan A. Rodríguez-Aguilar, Siang Yew Chong, Djamel Khadraoui and Ana L. C. Bazzan. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Engineering Applications of Artificial Intelligence.

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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