Betti Venneri

42 total papers · 863 total citations
26 papers, 366 citations indexed

About

Betti Venneri is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Betti Venneri has authored 26 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Betti Venneri's work include Logic, programming, and type systems (24 papers), Advanced Software Engineering Methodologies (10 papers) and Formal Methods in Verification (9 papers). Betti Venneri is often cited by papers focused on Logic, programming, and type systems (24 papers), Advanced Software Engineering Methodologies (10 papers) and Formal Methods in Verification (9 papers). Betti Venneri collaborates with scholars based in Italy, Uruguay and Malaysia. Betti Venneri's co-authors include Mariangiola Dezani-Ciancaglini, Massimiliano Coppo, Lorenzo Bettini, Sara Capecchi, Rocco De Nicola, Gian-Luigi Ferrari, Viviana Bono, Rosario Pugliese, Mario Coppo and Silvia Ghilezan and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Betti Venneri

23 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Betti Venneri	357	226	78	56	24	26	366
Søren B. Lassen	287 0.8×	199 0.9×	55 0.7×	35 0.6×	18 0.8×	20	332
Franco Barbanera	338 0.9×	247 1.1×	90 1.2×	39 0.7×	28 1.2×	52	370
Wayne Snyder	286 0.8×	205 0.9×	49 0.6×	23 0.4×	17 0.7×	23	344
Roger Villemaire	211 0.6×	200 0.9×	88 1.1×	121 2.2×	28 1.2×	33	363
Roland Bol	327 0.9×	180 0.8×	52 0.7×	33 0.6×	14 0.6×	18	381
Jacques Loeckx	261 0.7×	257 1.1×	41 0.5×	28 0.5×	19 0.8×	18	346
Christian Suttner	341 1.0×	218 1.0×	77 1.0×	23 0.4×	39 1.6×	16	394
Santiago Escobar	277 0.8×	183 0.8×	117 1.5×	94 1.7×	19 0.8×	63	340
Guy McCusker	368 1.0×	271 1.2×	20 0.3×	28 0.5×	29 1.2×	25	387
Ian Mackie	273 0.8×	212 0.9×	42 0.5×	62 1.1×	39 1.6×	49	357

Countries citing papers authored by Betti Venneri

Since Specialization

Citations

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

Fields of papers citing papers by Betti Venneri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betti Venneri

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