Michele Catasta

57 total papers · 4.2k total citations
28 papers, 707 citations indexed

About

Michele Catasta is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michele Catasta has authored 28 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 13 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Michele Catasta's work include Semantic Web and Ontologies (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Topic Modeling (6 papers). Michele Catasta is often cited by papers focused on Semantic Web and Ontologies (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Topic Modeling (6 papers). Michele Catasta collaborates with scholars based in Switzerland, United States and Germany. Michele Catasta's co-authors include Gianluca Demartini, Richard Cyganiak, Renaud Delbru, Giovanni Tummarello, Djellel Difallah, Philippe Cudré-Mauroux, Panagiotis G. Ipeirotis, Eyal Oren, Holger Stenzhorn and Stefan Decker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Proceedings of the VLDB Endowment.

In The Last Decade

Michele Catasta

25 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Michele Catasta 448 265 186 160 134 28 707
Saravanan Thirumuruganathan 433 1.0× 196 0.7× 153 0.8× 303 1.9× 209 1.6× 62 828
Haggai Roitman 476 1.1× 402 1.5× 46 0.2× 113 0.7× 124 0.9× 75 865
Alain Mille 330 0.7× 205 0.8× 60 0.3× 53 0.3× 92 0.7× 44 709
Kun Liu 256 0.6× 371 1.4× 200 1.1× 91 0.6× 171 1.3× 28 743
Georges Dupret 283 0.6× 552 2.1× 81 0.4× 78 0.5× 79 0.6× 28 817
Dorota Głowacka 308 0.7× 395 1.5× 100 0.5× 105 0.7× 51 0.4× 74 737
Hamid Reza Motahari‐Nezhad 354 0.8× 393 1.5× 197 1.1× 138 0.9× 149 1.1× 33 828
Fabian Abel 381 0.9× 430 1.6× 88 0.5× 73 0.5× 82 0.6× 39 815
Fei Wang 412 0.9× 508 1.9× 50 0.3× 59 0.4× 119 0.9× 23 821
Cheng-Kang Hsieh 316 0.7× 427 1.6× 53 0.3× 86 0.5× 135 1.0× 19 804

Countries citing papers authored by Michele Catasta

Since Specialization
Citations

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

Fields of papers citing papers by Michele Catasta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Catasta

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