Beatrice Palano

741 total citations
40 papers, 235 citations indexed

About

Beatrice Palano is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Beatrice Palano has authored 40 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 33 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Beatrice Palano's work include semigroups and automata theory (28 papers), Quantum Computing Algorithms and Architecture (16 papers) and Machine Learning and Algorithms (13 papers). Beatrice Palano is often cited by papers focused on semigroups and automata theory (28 papers), Quantum Computing Algorithms and Architecture (16 papers) and Machine Learning and Algorithms (13 papers). Beatrice Palano collaborates with scholars based in Italy, Germany and Switzerland. Beatrice Palano's co-authors include Carlo Mereghetti, Alberto Bertoni, Viliam Geffert, Andreas Malcher, Giovanni Pighizzini, Martin Kutrib, Stefano Olivares, Dennis Komm, Matteo G. A. Paris and S. Cialdi and has published in prestigious journals such as Applied Sciences, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Beatrice Palano

36 papers receiving 220 citations

Peers

Beatrice Palano
Comparison fields: 5 of 16
  • Computational Theory and Mathematics 207
  • Artificial Intelligence 190
  • Molecular Biology 72
  • Computer Networks and Communications 12
  • Electrical and Electronic Engineering 8
Replace Carlo Mereghetti with:
Carlo Mereghetti Italy
Andreas Malcher Germany
Rogério Reis Portugal
Shinnosuke Seki Japan
Martin Plátek Czechia
Markus L. Schmid Germany
František Mráz Czechia
Symeon Bozapalidis Greece
Konstantin Korovin United Kingdom
Marcella Anselmo Italy
Carlo Mereghetti Italy View profile →
Citations per field, relative to Beatrice Palano
Beatrice Palano · 1×
Citations per year, relative to Beatrice Palano
Beatrice Palano · 1×

Countries citing papers authored by Beatrice Palano

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Palano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Palano

This figure shows the co-authorship network connecting the top 25 collaborators of Beatrice Palano. A scholar is included among the top collaborators of Beatrice Palano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beatrice Palano. Beatrice Palano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 0
5 4
6 9
7 10
8 9
9 7
10 7
11 11
12 9
13
Events and Languages on Unary Quantum Automata
1
14 10
15
Sublinearly Space Bounded Iterative Arrays.
1
16 12
17 11
18 15
19 3
20 17

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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