Paolo Viappiani

99 total papers · 1.1k total citations
33 papers, 458 citations indexed

About

Paolo Viappiani is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Paolo Viappiani has authored 33 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 11 papers in Information Systems. Recurrent topics in Paolo Viappiani's work include Data Management and Algorithms (11 papers), Recommender Systems and Techniques (8 papers) and Advanced Bandit Algorithms Research (8 papers). Paolo Viappiani is often cited by papers focused on Data Management and Algorithms (11 papers), Recommender Systems and Techniques (8 papers) and Advanced Bandit Algorithms Research (8 papers). Paolo Viappiani collaborates with scholars based in Switzerland, Canada and France. Paolo Viappiani's co-authors include Pearl Pu, Craig Boutilier, Boi Faltings, Boi Faltings, Alexis Tsoukiàs, Gabriella Pigozzi, Patrice Perny, Marc Torrens, Kevin Regan and Bart Peintner and has published in prestigious journals such as Journal of Nutrition, Artificial Intelligence and Lecture notes in computer science.

In The Last Decade

Paolo Viappiani

31 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Paolo Viappiani	211	170	154	129	125	33	458
Ahmad Baraani-Dastjerdi	255 1.2×	167 1.0×	68 0.4×	89 0.7×	42 0.3×	52	540
Ilaria Bordino	207 1.0×	135 0.8×	117 0.8×	41 0.3×	53 0.4×	26	484
Juan Bernabé-Moreno	224 1.1×	220 1.3×	69 0.4×	40 0.3×	27 0.2×	31	464
Iryna Yevseyeva	156 0.7×	239 1.4×	48 0.3×	107 0.8×	67 0.5×	54	514
Or Sheffet	286 1.4×	35 0.2×	150 1.0×	39 0.3×	39 0.3×	25	498
Richard Spillman	299 1.4×	30 0.2×	254 1.6×	42 0.3×	47 0.4×	21	531
Evdokia Nikolova	81 0.4×	17 0.1×	131 0.9×	106 0.8×	62 0.5×	41	466
Ali Fallah Tehrani	202 1.0×	83 0.5×	187 1.2×	22 0.2×	16 0.1×	20	479
Tiejun Ma	104 0.5×	63 0.4×	203 1.3×	56 0.4×	32 0.3×	36	487
Byron J. Gao	284 1.3×	198 1.2×	52 0.3×	96 0.7×	100 0.8×	46	478

Countries citing papers authored by Paolo Viappiani

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Viappiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Viappiani

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