Aniello Murano

252 total papers · 2.5k total citations
104 papers, 815 citations indexed

About

Aniello Murano is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Aniello Murano has authored 104 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 66 papers in Computational Theory and Mathematics and 16 papers in Software. Recurrent topics in Aniello Murano's work include Formal Methods in Verification (63 papers), Logic, Reasoning, and Knowledge (56 papers) and Logic, programming, and type systems (51 papers). Aniello Murano is often cited by papers focused on Formal Methods in Verification (63 papers), Logic, Reasoning, and Knowledge (56 papers) and Logic, programming, and type systems (51 papers). Aniello Murano collaborates with scholars based in Italy, United Kingdom and France. Aniello Murano's co-authors include Fabio Mogavero, Giuseppe Perelli, Moshe Y. Vardi, Sasha Rubin, Benjamin Aminof, Wojciech Jamroga, Alessio Lomuscio, Adriano Peron, A Iacono and D Iarussi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Molecular Aspects of Medicine.

In The Last Decade

Aniello Murano

94 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Aniello Murano 592 474 74 69 55 104 815
Pierre Marquis 634 1.1× 178 0.4× 32 0.4× 83 1.2× 149 2.7× 83 909
Alexandre David 223 0.4× 493 1.0× 361 4.9× 26 0.4× 121 2.2× 50 816
Guido Sciavicco 627 1.1× 276 0.6× 32 0.4× 37 0.5× 348 6.3× 90 880
Erkki Mäkinen 422 0.7× 227 0.5× 119 1.6× 19 0.3× 148 2.7× 110 892
Yusuke Matsunaga 137 0.2× 419 0.9× 182 2.5× 5 0.1× 50 0.9× 90 994
E.P. de Vink 429 0.7× 373 0.8× 81 1.1× 22 0.3× 133 2.4× 69 841
Yongji Wang 278 0.5× 20 0.0× 84 1.1× 23 0.3× 166 3.0× 72 1.0k
Taolue Chen 444 0.8× 282 0.6× 302 4.1× 28 0.4× 154 2.8× 107 962
Lijun Ji 553 0.9× 135 0.3× 21 0.3× 82 1.2× 121 2.2× 98 962
Silvia Chiusano 262 0.4× 132 0.3× 56 0.8× 35 0.5× 112 2.0× 89 873

Countries citing papers authored by Aniello Murano

Since Specialization
Citations

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

Fields of papers citing papers by Aniello Murano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniello Murano

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