Adrián Riesco

567 citations
69 papers · 397 · h-index 11

Impact in

Papers in

Adrián Riesco

65 papers receiving 380 citations

Peers

Adrián Riesco
Comparison fields: 5 of 48
  • Software 181
  • Computational Theory and Mathematics 202
  • Artificial Intelligence 241
  • Hardware and Architecture 47
  • Information Systems 110
Replace Andreas Griesmayer with:
Andreas Griesmayer Austria
Alberto Verdejo Spain
Yitzhak Mandelbaum United States
S. Roach United States
Anne Parrain France
Ivan Kuraj United States
Lennart C.L. Kats Netherlands
Edwin Brady United Kingdom
Steffen Schlager Germany
Włodzimierz Drabent Sweden
Adrián Riesco relative to Andreas Griesmayer Austria Andreas Griesmayer's profile →
Citations per field
00.5×
Andreas Griesmayer · 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 22 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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200640
2 201122
3 201721
4 200916
5 201914
6 201613
7 200913
8 201412
9 201711
10 201911
11 200711
12 201810
13 20129
14 20098
15 20187
16 20157
17 20117
18 20187
19 20137
20 20187

About Adrián Riesco

Adrián Riesco is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Information Systems and Computer Networks and Communications, having authored 69 papers that have together received 397 indexed citations. Recurring topics across this work include Formal Methods in Verification (40 papers), Logic, programming, and type systems (36 papers), Software Testing and Debugging Techniques (35 papers), Software Engineering Research (12 papers), Logic, Reasoning, and Knowledge (8 papers), Software Reliability and Analysis Research (7 papers), Security and Verification in Computing (6 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Software (181 citations), Computational Theory and Mathematics (202 citations), Artificial Intelligence (241 citations), Hardware and Architecture (47 citations) and Information Systems (110 citations). Adrián Riesco has collaborated with scholars based in Spain, Japan and United States. Frequent co-authors include Alberto Verdejo, Rafael Caballero, Narciso Martı́-Oliet, Kazuhiro Ogata, Miguel Palomino, Manuel Clavel, Josep Silva, Gustavo Santos‐García, Carolyn Talcott and Kokichi Futatsugi. Their work appears in journals such as Journal of Logical and Algebraic Methods in Programming, Lecture notes in computer science, IEEE Access, ACM Transactions on Software Engineering and Methodology and Theory and Practice of Logic 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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