Anna Labella

482 citations
36 papers · 177 · h-index 8

Impact in

Papers in

Anna Labella

33 papers receiving 161 citations

Peers

Anna Labella
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 88
  • Artificial Intelligence 85
  • Software 7
  • Mathematical Physics 12
  • Human-Computer Interaction 7
Replace Gheorghe Ştefănescu with:
Gheorghe Ştefănescu Romania
Nelma Moreira Portugal
Michael Ho Taiwan
Joffroy Beauquier France
Dirk Nowotka Germany
Florín Manea Germany
Dora Giammarresi Italy
Stavros Konstantinidis Canada
Rafał Sałustowicz Switzerland
J. P. Banâtre France
Anna Labella relative to Gheorghe Ştefănescu Romania Gheorghe Ştefănescu's profile →
Citations per field
00.5×4.7×
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 23 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201923
2 202020
3 199815
4 200414
5 20129
6 19998
7 20068
8 20118
9 19927
10 19997
11 20026
12 19986
13 20145
14 20064
15 20034
16 20014
17
FcBD: An Agent-Based Architecture to Support Sketch Recognition Interfaces.
20113
18 20163
19 19993
20 20162

About Anna Labella

Anna Labella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 177 indexed citations. Recurring topics across this work include Logic, programming, and type systems (13 papers), DNA and Biological Computing (9 papers), Formal Methods in Verification (9 papers), Logic, Reasoning, and Knowledge (7 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Cellular Automata and Applications (4 papers), Distributed systems and fault tolerance (4 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Computational Theory and Mathematics (88 citations), Artificial Intelligence (85 citations), Software (7 citations), Mathematical Physics (12 citations) and Human-Computer Interaction (7 citations). Anna Labella has collaborated with scholars based in Italy, Romania and United States. Frequent co-authors include Paolo Bottoni, Grzegorz Rozenberg, Rocco De Nicola, Víctor Mitrana, Flavio Corradini, Vincenzo Manca, Maria De Marsico, Ross Street, S. Levialdi and Florín Manea. Their work appears in journals such as Theoretical Computer Science, Journal of Pure and Applied Algebra, Mathematical Structures in Computer Science, Journal of Computer and System Sciences and Journal of Visual Languages & Computing.

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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