Carlo Mereghetti

96 total papers · 1.1k total citations
46 papers, 364 citations indexed

About

Carlo Mereghetti is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Carlo Mereghetti has authored 46 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 37 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Carlo Mereghetti's work include semigroups and automata theory (36 papers), DNA and Biological Computing (15 papers) and Quantum Computing Algorithms and Architecture (14 papers). Carlo Mereghetti is often cited by papers focused on semigroups and automata theory (36 papers), DNA and Biological Computing (15 papers) and Quantum Computing Algorithms and Architecture (14 papers). Carlo Mereghetti collaborates with scholars based in Italy, Germany and Slovakia. Carlo Mereghetti's co-authors include Beatrice Palano, Giovanni Pighizzini, Viliam Geffert, Alberto Bertoni, Andreas Malcher, Martin Kutrib, S. Cialdi, Christian Choffrut, Stefano Olivares and Matteo G. A. Paris and has published in prestigious journals such as SIAM Journal on Computing, Applied Sciences and Theoretical Computer Science.

In The Last Decade

Carlo Mereghetti

43 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
Carlo Mereghetti	333	300	153	9	8	46	364
Viliam Geffert	296 0.9×	251 0.8×	171 1.1×	6 0.7×	17 2.1×	46	348
Michel Latteux	283 0.8×	200 0.7×	132 0.9×	7 0.8×	11 1.4×	54	307
Stavros Konstantinidis	164 0.5×	162 0.5×	231 1.5×	6 0.7×	10 1.3×	49	296
Gene F. Rose	249 0.7×	201 0.7×	57 0.4×	4 0.4×	5 0.6×	25	307
Dany Breslauer	219 0.7×	332 1.1×	153 1.0×	7 0.8×	38 4.8×	38	388
Andreas Maletti	212 0.6×	297 1.0×	39 0.3×	6 0.7×	13 1.6×	57	348
Christian Choffrut	353 1.1×	238 0.8×	115 0.8×	11 1.2×	38 4.8×	59	400
José Félix Costa	288 0.9×	219 0.7×	27 0.2×	30 3.3×	20 2.5×	47	385
Tomasz Waleń	91 0.3×	184 0.6×	213 1.4×	5 0.6×	16 2.0×	40	335
Efim Kinber	301 0.9×	336 1.1×	19 0.1×	4 0.4×	34 4.3×	52	360

Countries citing papers authored by Carlo Mereghetti

Since Specialization

Citations

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

Fields of papers citing papers by Carlo Mereghetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Mereghetti

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Mereghetti. A scholar is included among the top collaborators of Carlo Mereghetti 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 Carlo Mereghetti. Carlo Mereghetti 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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