Anna Labella

486 citations
56 papers · 357 · h-index 11

Impact in

Papers in

Anna Labella

51 papers receiving 337 citations

Peers

Anna Labella
Comparison fields: 5 of 40
  • Computational Theory and Mathematics 197
  • Artificial Intelligence 196
  • Human-Computer Interaction 18
  • Software 11
  • Mathematical Physics 17
Replace Gheorghe Ştefănescu with:
Gheorghe Ştefănescu Romania
Magnus Merkel Sweden
Dora Giammarresi Italy
Stavros Konstantinidis Canada
Florín Manea Germany
Nelma Moreira Portugal
Robert Veroff United States
Katsushi Inoue Japan
Joffroy Beauquier France
Eugene Eberbach United States
Anna Labella relative to Gheorghe Ştefănescu Romania Gheorghe Ştefănescu's profile →
Citations per field
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Gheorghe Ştefănescu · 1×
Citations per year

Countries citing papers authored by Anna Labella

Since Specialization
Citations

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

Fields of papers citing papers by Anna Labella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202025
2 201925
3 200222
4 200421
5 199820
6 199416
7 201212
8 199912
9 200812
10 200210
11 199910
12 199810
13 200910
14 199510
15 19999
16 19929
17 20069
18 20118
19 20017
20 20037

About Anna Labella

Anna Labella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Mathematical Physics and Computer Networks and Communications, having authored 56 papers that have together received 357 indexed citations. Recurring topics across this work include Logic, programming, and type systems (21 papers), DNA and Biological Computing (14 papers), Formal Methods in Verification (13 papers), Logic, Reasoning, and Knowledge (12 papers), Homotopy and Cohomology in Algebraic Topology (8 papers), semigroups and automata theory (7 papers), Cellular Automata and Applications (6 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computational Theory and Mathematics (197 citations), Artificial Intelligence (196 citations), Human-Computer Interaction (18 citations), Software (11 citations) and Mathematical Physics (17 citations). Anna Labella has collaborated with scholars based in Italy, Romania and Spain. Frequent co-authors include Paolo Bottoni, Rocco De Nicola, Grzegorz Rozenberg, Flavio Corradini, Víctor Mitrana, Alberto Pettorossi, Carlos Martı́n-Vide, Gheorghe Pǎun, Vincenzo Manca and Zoltán Ésik. Their work appears in journals such as Theoretical Computer Science, Journal of Pure and Applied Algebra, Mathematical Structures in Computer Science, Journal of Visual Languages & Computing and Applied Categorical Structures.

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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