Ramón Hermoso

704 total citations
37 papers, 374 citations indexed

About

Ramón Hermoso is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ramón Hermoso has authored 37 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 15 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Ramón Hermoso's work include Recommender Systems and Techniques (10 papers), Multi-Agent Systems and Negotiation (8 papers) and Auction Theory and Applications (8 papers). Ramón Hermoso is often cited by papers focused on Recommender Systems and Techniques (10 papers), Multi-Agent Systems and Negotiation (8 papers) and Auction Theory and Applications (8 papers). Ramón Hermoso collaborates with scholars based in Spain, United Kingdom and Germany. Ramón Hermoso's co-authors include Holger Billhardt, Sascha Ossowskí, Sergio Ilarri, Raquel Trillo-Lado, Jürgen Dunkel, Maria Fasli, María Pilar Latorre Martínez, Marin Lujak, Jordi Sabater-Mir and Alberto Fernández and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

Ramón Hermoso

34 papers receiving 359 citations

Peers

Ramón Hermoso
Comparison fields: 5 of 57
  • Information Systems 163
  • Artificial Intelligence 138
  • Sociology and Political Science 117
  • Computer Networks and Communications 84
  • Computer Vision and Pattern Recognition 58
Replace Xitong Li with:
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Nasrullah Memon Denmark
Javier Parra‐Arnau Spain
Jianrong Tao China
Ana Peleteiro Spain
Anindya Iqbal Bangladesh
Tripti Mahara India
Ko Fujimura Japan
Katsutoshi Yada Japan
Tatiana Levashova Russia
Xitong Li China View profile →
Citations per field, relative to Ramón Hermoso
Ramón Hermoso · 1×
Citations per year, relative to Ramón Hermoso
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Countries citing papers authored by Ramón Hermoso

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Hermoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramón Hermoso

This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Hermoso. A scholar is included among the top collaborators of Ramón Hermoso 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 Ramón Hermoso. Ramón Hermoso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 12
3 14
4 15
5 2
6 1
7 10
8 38
9 7
10 25
11
Location-aware recommendation systems: Where we are and where we recommend to go
20
12 17
13 10
14 16
15 9
16 4
17 17
18 11
19 4
20
Effective Use of Organisational Abstractions for Confidence Models.
1

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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