Adrián Riesco

550 citations
30 papers · 173 · h-index 8

Impact in

Papers in

Adrián Riesco

29 papers receiving 161 citations

Peers

Adrián Riesco
Comparison fields: 5 of 37
  • Software 71
  • Computational Theory and Mathematics 80
  • Artificial Intelligence 90
  • Hardware and Architecture 16
  • Information Systems 48
Replace Bernd Kolb with:
Bernd Kolb Germany
Clément Pit-Claudel United States
Ming‐Ho Yee Canada
Anastasia Mavridou United States
J. van Katwijk Netherlands
Jürgen Dingel Canada
Carla Ferreira Portugal
Sven Jörges Germany
James Ivers United States
Shmuel Tyszberowicz Israel
Adrián Riesco relative to Bernd Kolb Germany Bernd Kolb's profile →
Citations per field
00.5×3.2×
Bernd Kolb · 1×
Citations per year

Countries citing papers authored by Adrián Riesco

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Riesco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Adrián Riesco, 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 Adrián Riesco Line = papers co-authored together Adrián Riesco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200628
2 201717
3 201912
4 201611
5 200910
6 20119
7 20189
8 20198
9 20177
10 20077
11 20155
12 20195
13 20185
14 20185
15 20184
16 20214
17 20094
18 20104
19 20233
20 20103

About Adrián Riesco

Adrián Riesco is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 173 indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Software Testing and Debugging Techniques (16 papers), Formal Methods in Verification (16 papers), Logic, Reasoning, and Knowledge (5 papers), Software Reliability and Analysis Research (4 papers), Security and Verification in Computing (4 papers), Distributed systems and fault tolerance (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Software (71 citations), Computational Theory and Mathematics (80 citations), Artificial Intelligence (90 citations), Hardware and Architecture (16 citations) and Information Systems (48 citations). Adrián Riesco has collaborated with scholars based in Spain, Japan and South Korea. Frequent co-authors include Alberto Verdejo, Rafael Caballero, Kazuhiro Ogata, Manuel Clavel, Miguel Palomino, Josep Silva, Kokichi Futatsugi, Narciso Martı́-Oliet, Carolyn Talcott and Gustavo Santos‐García. Their work appears in journals such as Journal of Logical and Algebraic Methods in Programming, ACM Transactions on Software Engineering and Methodology, IEEE Access, Interactive Learning Environments and Science of Computer Programming.

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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