Pablo Barceló

3.1k citations
78 papers · 1.3k · h-index 20

Impact in

Papers in

Pablo Barceló

74 papers receiving 1.2k citations

Peers

Pablo Barceló
Comparison fields: 5 of 68
  • Signal Processing 424
  • Computer Networks and Communications 794
  • Artificial Intelligence 857
  • Computer Vision and Pattern Recognition 406
  • Software 70
Replace Chris Jermaine with:
Chris Jermaine United States
Itay Meiri United States
Nicolas Bruno United States
Wenchao Zhou United States
Praveen Seshadri United States
Kostas Tzoumas Germany
Eric N. Hanson United States
Jordi Planes Spain
Rebecca Isaacs United Kingdom
Makoto Onizuka Japan
Pablo Barceló relative to Chris Jermaine United States Chris Jermaine's profile →
Citations per field
00.5×2.6×
Chris Jermaine · 1×
Citations per year

Countries citing papers authored by Pablo Barceló

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Barceló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Barceló, 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 Pablo Barceló Line = papers co-authored together Pablo Barceló links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 201398
3 201873
4 201270
5 200462
6 201455
7 201052
8 200943
9 201043
10 201738
11 200837
12 201134
13
Relative Expressiveness of Nested Regular Expressions.
201229
14 201428
15 200624
16 201622
17 201021
18 201720
19
Foundations of Modern Graph Query Languages.
201619
20 201619

About Pablo Barceló

Pablo Barceló is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (44 papers), Semantic Web and Ontologies (26 papers), Data Management and Algorithms (22 papers), Graph Theory and Algorithms (13 papers), Constraint Satisfaction and Optimization (9 papers), Logic, Reasoning, and Knowledge (7 papers), Logic, programming, and type systems (7 papers) and semigroups and automata theory (6 papers). The work is most often cited by research in Signal Processing (424 citations), Computer Networks and Communications (794 citations), Artificial Intelligence (857 citations), Computer Vision and Pattern Recognition (406 citations) and Software (70 citations). Pablo Barceló has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Leonid Libkin, Marcelo Arenas, Juan L. Reutter, Renzo Angles, Domagoj Vrgoč, Aidan Hogan, Miguel Romero, Filip Murlak, Anthony W. Lin and Peter T. Wood. Their work appears in journals such as ACM SIGMOD Record, Logical Methods in Computer Science, Theory of Computing Systems, Journal of the ACM and Theoretical Computer Science.

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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