Davide Grossi

217 total papers · 2.6k total citations
82 papers, 625 citations indexed

About

Davide Grossi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Davide Grossi has authored 82 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 13 papers in Economics and Econometrics. Recurrent topics in Davide Grossi's work include Logic, Reasoning, and Knowledge (50 papers), Multi-Agent Systems and Negotiation (37 papers) and Semantic Web and Ontologies (21 papers). Davide Grossi is often cited by papers focused on Logic, Reasoning, and Knowledge (50 papers), Multi-Agent Systems and Negotiation (37 papers) and Semantic Web and Ontologies (21 papers). Davide Grossi collaborates with scholars based in Netherlands, United Kingdom and France. Davide Grossi's co-authors include Frank Dignum, Sanjay Modgil, Gabriella Pigozzi, Lambèr Royakkers, Wiebe van der Hoek, Johan van Benthem, John‐Jules Ch. Meyer, Huib Aldewereld, Javier Vázquez-Salceda and Mehdi Dastani and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Davide Grossi

73 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Davide Grossi	406	96	83	74	58	82	625
Wolfgang Spohn	452 1.1×	66 0.7×	77 0.9×	105 1.4×	67 1.2×	64	772
Adriano Koshiyama	282 0.7×	79 0.8×	55 0.7×	17 0.2×	52 0.9×	75	649
Pei Wang	279 0.7×	21 0.2×	23 0.3×	56 0.8×	49 0.8×	43	663
Frederick Eberhardt	346 0.9×	71 0.7×	27 0.3×	54 0.7×	63 1.1×	35	618
Nicholas V. Findler	440 1.1×	64 0.7×	27 0.3×	49 0.7×	13 0.2×	79	698
Yo-Ping Huang	263 0.6×	61 0.6×	20 0.2×	31 0.4×	15 0.3×	48	632
Brian F. Tivnan	135 0.3×	74 0.8×	156 1.9×	19 0.3×	38 0.7×	30	737
Harko Verhagen	240 0.6×	75 0.8×	37 0.4×	12 0.2×	18 0.3×	71	584
Yair Zick	328 0.8×	178 1.9×	156 1.9×	33 0.4×	13 0.2×	42	606
Manish Raghavan	305 0.8×	63 0.7×	55 0.7×	10 0.1×	70 1.2×	28	619

Countries citing papers authored by Davide Grossi

Since Specialization

Citations

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

Fields of papers citing papers by Davide Grossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Grossi

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