Marcella Anselmo

77 total papers · 532 total citations
28 papers, 123 citations indexed

About

Marcella Anselmo is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Marcella Anselmo has authored 28 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 20 papers in Molecular Biology and 19 papers in Artificial Intelligence. Recurrent topics in Marcella Anselmo's work include semigroups and automata theory (20 papers), DNA and Biological Computing (20 papers) and Algorithms and Data Compression (11 papers). Marcella Anselmo is often cited by papers focused on semigroups and automata theory (20 papers), DNA and Biological Computing (20 papers) and Algorithms and Data Compression (11 papers). Marcella Anselmo collaborates with scholars based in Italy, Germany and United States. Marcella Anselmo's co-authors include Maria Madonia, Dora Giammarresi, Antonio Restivo, Stefano Varricchio, Andrea Bertoni, Clelia De Felice, Arno Pauly, Alberto Bertoni, Florín Manea and Gianluca Della Vedova and has published in prestigious journals such as Theoretical Computer Science, Lecture notes in computer science and Discrete Applied Mathematics.

In The Last Decade

Marcella Anselmo

24 papers receiving 105 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marcella Anselmo	94	93	81	8	6	28	123
Robert Mercaş	95 1.0×	81 0.9×	96 1.2×	3 0.4×	2 0.3×	32	132
Sabrina Mantaci	125 1.3×	114 1.2×	191 2.4×	13 1.6×	4 0.7×	24	240
A. Ehrenfeucht	154 1.6×	47 0.5×	172 2.1×	5 0.6×	9 1.5×	19	241
Yuto Nakashima	34 0.4×	42 0.5×	66 0.8×	4 0.5×	3 0.5×	29	71
Martin Plátek	86 0.9×	82 0.9×	124 1.5×	3 0.4×	2 0.3×	40	163
Jamie Simpson	160 1.7×	77 0.8×	153 1.9×	3 0.4×	16 2.7×	31	221
Avivit Levy	49 0.5×	60 0.6×	110 1.4×	12 1.5×	6 1.0×	32	124
Mamoru Fujii	109 1.2×	47 0.5×	200 2.5×	4 0.5×	2 0.3×	43	253
Markus L. Schmid	62 0.7×	25 0.3×	73 0.9×	9 1.1×	4 0.7×	34	98
Ishani Mondal	26 0.3×	31 0.3×	46 0.6×	14 1.8×	6 1.0×	17	85

Countries citing papers authored by Marcella Anselmo

Since Specialization

Citations

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

Fields of papers citing papers by Marcella Anselmo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcella Anselmo

This figure shows the co-authorship network connecting the top 25 collaborators of Marcella Anselmo. A scholar is included among the top collaborators of Marcella Anselmo 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 Marcella Anselmo. Marcella Anselmo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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