Verónica Becher

522 citations
32 papers · 175 · h-index 9

Impact in

Papers in

Verónica Becher

30 papers receiving 169 citations

Peers

Verónica Becher
Comparison fields: 5 of 31
  • Computational Theory and Mathematics 121
  • Statistics and Probability 27
  • Artificial Intelligence 82
  • Mathematical Physics 19
  • Theoretical Computer Science 2
Replace Frédérique Bassino with:
Frédérique Bassino France
Vladimir Uspensky Russia
Mathilde Bouvel France
Alexander Burstein United States
Amit Khetan United States
Olivier Bodini France
Elvira Mayordomo Spain
Sonja Petrović United States
Luca Ferrari Italy
Rosena R. X. Du China
Verónica Becher relative to Frédérique Bassino France Frédérique Bassino's profile →
Citations per field
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Citations per year

Countries citing papers authored by Verónica Becher

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Becher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Verónica Becher, 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 Verónica Becher Line = papers co-authored together Verónica Becher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200223
2 200917
3 201310
4 201310
5 200510
6 201110
7 20079
8 20029
9 20138
10 20168
11 20068
12 20156
13 20155
14 19934
15 20124
16 20054
17 20094
18 20163
19 20173
20 20073

About Verónica Becher

Verónica Becher is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Statistics and Probability and Mathematical Physics, having authored 32 papers that have together received 175 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (21 papers), semigroups and automata theory (19 papers), Algorithms and Data Compression (14 papers), Benford’s Law and Fraud Detection (5 papers), Cellular Automata and Applications (5 papers), Coding theory and cryptography (4 papers), Mathematical Dynamics and Fractals (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (121 citations), Statistics and Probability (27 citations), Artificial Intelligence (82 citations), Mathematical Physics (19 citations) and Theoretical Computer Science (2 citations). Verónica Becher has collaborated with scholars based in Argentina, France and United States. Frequent co-authors include Santiago Figueira, Serge Grigorieff, Theodore A. Slaman, Gregory J. Chaitin, François Serra, Olivier Carton, Hernán Dopazo, Joseph S. Miller, Yann Bugeaud and R. Gonzalo Parra. Their work appears in journals such as Theoretical Computer Science, Journal of Symbolic Logic, Journal of Computer and System Sciences, Mathematics of Computation and Scientific Reports.

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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