Alessandro Previti

30 total papers · 586 total citations
11 papers, 209 citations indexed

About

Alessandro Previti is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Alessandro Previti has authored 11 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. Recurrent topics in Alessandro Previti's work include Logic, Reasoning, and Knowledge (8 papers), Formal Methods in Verification (7 papers) and Constraint Satisfaction and Optimization (6 papers). Alessandro Previti is often cited by papers focused on Logic, Reasoning, and Knowledge (8 papers), Formal Methods in Verification (7 papers) and Constraint Satisfaction and Optimization (6 papers). Alessandro Previti collaborates with scholars based in Portugal, Ireland and Finland. Alessandro Previti's co-authors include João Marques‐Silva, Mark H. Liffiton, Mikoláš Janota, Anton Belov, Federico Heras, Carlos Mencía, Matti J„ärvisalo, Alexey Ignatiev, António Morgado and William Yeoh and has published in prestigious journals such as Artificial Intelligence, Constraints and Työväentutkimus Vuosikirja.

In The Last Decade

Alessandro Previti

10 papers receiving 200 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Previti 164 79 68 42 19 11 209
M.E. Stickel 208 1.3× 77 1.0× 80 1.2× 22 0.5× 21 1.1× 10 255
Stephen M. Majercik 221 1.3× 60 0.8× 78 1.1× 17 0.4× 5 0.3× 16 254
Markus N. Rabe 99 0.6× 62 0.8× 22 0.3× 36 0.9× 27 1.4× 18 150
Rich Washington 108 0.7× 59 0.7× 48 0.7× 90 2.1× 35 1.8× 8 195
Bernard A. Nadel 88 0.5× 37 0.5× 172 2.5× 25 0.6× 15 0.8× 11 221
Daniel Frost 122 0.7× 38 0.5× 199 2.9× 24 0.6× 11 0.6× 11 256
David Wolfe 125 0.8× 113 1.4× 71 1.0× 27 0.6× 5 0.3× 16 243
Gilles Audemard 167 1.0× 203 2.6× 98 1.4× 74 1.8× 17 0.9× 8 278
Bertrand Mazure 134 0.8× 101 1.3× 108 1.6× 34 0.8× 5 0.3× 22 186
Gerhard Goos 57 0.3× 55 0.7× 41 0.6× 25 0.6× 22 1.2× 14 140

Countries citing papers authored by Alessandro Previti

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Previti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Previti

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