Pablo Barceló

3.1k citations
91 papers · 1.8k · h-index 23

Impact in

Papers in

Pablo Barceló

85 papers receiving 1.7k citations

Peers

Pablo Barceló
Comparison fields: 5 of 77
  • Signal Processing 565
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.2k
  • Software 125
  • Computer Vision and Pattern Recognition 518
Replace Peter T. Wood with:
Peter T. Wood United Kingdom
Jan Paredaens Belgium
Daniele Braga Italy
Oded Shmueli Israel
Aurojit Panda United States
Carsten Binnig Germany
Narain Gehani United States
Yingyi Bu United States
Itay Meiri United States
Martin Gebser Germany
Pablo Barceló relative to Peter T. Wood United Kingdom Peter T. Wood's profile →
Citations per field
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Peter T. Wood · 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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017237
2 2013132
3 201292
4 201890
5 200881
6 200479
7 201469
8 201068
9 200952
10 200250
11 201050
12 201143
13 201741
14 201638
15
Relative Expressiveness of Nested Regular Expressions.
201235
16 201435
17 200731
18 200627
19 201026
20 201324

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 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (52 papers), Semantic Web and Ontologies (37 papers), Data Management and Algorithms (26 papers), Graph Theory and Algorithms (14 papers), Logic, Reasoning, and Knowledge (12 papers), Logic, programming, and type systems (10 papers), Constraint Satisfaction and Optimization (10 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Signal Processing (565 citations), Computer Networks and Communications (1.1k citations), Artificial Intelligence (1.2k citations), Software (125 citations) and Computer Vision and Pattern Recognition (518 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, Anthony W. Lin, Leopoldo Bertossi, Filip Murlak, Domagoj Vrgoč, Aidan Hogan 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 ACM Transactions on Database Systems.

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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