Vincenzo Cutello

159 total papers · 2.5k total citations
79 papers, 1.0k citations indexed

About

Vincenzo Cutello is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Vincenzo Cutello has authored 79 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 23 papers in Management Science and Operations Research. Recurrent topics in Vincenzo Cutello's work include Artificial Immune Systems Applications (19 papers), Multi-Criteria Decision Making (19 papers) and Advanced Algebra and Logic (12 papers). Vincenzo Cutello is often cited by papers focused on Artificial Immune Systems Applications (19 papers), Multi-Criteria Decision Making (19 papers) and Advanced Algebra and Logic (12 papers). Vincenzo Cutello collaborates with scholars based in Italy, Spain and United Kingdom. Vincenzo Cutello's co-authors include Javier Montero, Giuseppe Nicosia, Mario Pavone, Jon Timmis, Giuseppe Narzisi, Gregory S. Biging, Domenico Cantone, Kalyanmoy Deb, Carlos A. Coello Coello and Pietro S. Oliveto and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and European Journal of Operational Research.

In The Last Decade

Vincenzo Cutello

75 papers receiving 952 citations

Author Peers

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

Author						Papers	Cites
Vincenzo Cutello	408	299	271	254	232	79	1.0k
Amr Badr	365 0.9×	73 0.2×	73 0.3×	131 0.5×	68 0.3×	70	1.0k
Ray Paton	253 0.6×	140 0.5×	29 0.1×	190 0.7×	80 0.3×	64	957
Vladimir Rykov	184 0.5×	62 0.2×	73 0.3×	218 0.9×	47 0.2×	83	869
Carlos Andrés Peña-Reyes	543 1.3×	64 0.2×	44 0.2×	182 0.7×	39 0.2×	35	855
Paolo Cazzaniga	398 1.0×	194 0.6×	24 0.1×	499 2.0×	79 0.3×	84	1.2k
Timo Koski	466 1.1×	69 0.2×	59 0.2×	237 0.9×	27 0.1×	79	1.0k
Felipe Campelo	306 0.8×	288 1.0×	45 0.2×	38 0.1×	113 0.5×	65	897
N. Baba	213 0.5×	45 0.2×	145 0.5×	235 0.9×	32 0.1×	50	918
Ashish Anand	680 1.7×	311 1.0×	36 0.1×	401 1.6×	48 0.2×	55	1.2k
Rong Miao	370 0.9×	319 1.1×	96 0.4×	119 0.5×	22 0.1×	33	848

Countries citing papers authored by Vincenzo Cutello

Since Specialization

Citations

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

Fields of papers citing papers by Vincenzo Cutello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Cutello

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