Fausto Rabitti

126 total papers · 2.0k total citations
60 papers, 781 citations indexed

About

Fausto Rabitti is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Fausto Rabitti has authored 60 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 36 papers in Signal Processing and 19 papers in Computer Networks and Communications. Recurrent topics in Fausto Rabitti's work include Data Management and Algorithms (33 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Image Retrieval and Classification Techniques (22 papers). Fausto Rabitti is often cited by papers focused on Data Management and Algorithms (33 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Image Retrieval and Classification Techniques (22 papers). Fausto Rabitti collaborates with scholars based in Italy, United States and Czechia. Fausto Rabitti's co-authors include Pavel Zezula, Pasquale Savino, Elisa Bertino, Won Bae Kim, Darrell Woelk, Giuseppe Amato, Fabrizio Falchi, Raffaele Perego, Claudio Lucchese and Claudio Gennaro and has published in prestigious journals such as IEEE Transactions on Communications, Computer and Future Generation Computer Systems.

In The Last Decade

Fausto Rabitti

57 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Fausto Rabitti	372	345	288	255	160	60	781
Olivier Verscheure	369 1.0×	285 0.8×	264 0.9×	353 1.4×	152 0.9×	47	891
Harald Kosch	414 1.1×	153 0.4×	193 0.7×	237 0.9×	188 1.2×	110	731
Shi-Kuo Chang	468 1.3×	211 0.6×	343 1.2×	240 0.9×	82 0.5×	33	835
Kazuo Misue	513 1.4×	127 0.4×	158 0.5×	70 0.3×	95 0.6×	60	703
John R. Goodall	311 0.8×	314 0.9×	179 0.6×	393 1.5×	348 2.2×	44	872
Alex Thomo	177 0.5×	424 1.2×	152 0.5×	275 1.1×	167 1.0×	88	728
Masashi Toyoda	174 0.5×	312 0.9×	150 0.5×	128 0.5×	335 2.1×	101	816
Giuseppe Cattaneo	190 0.5×	241 0.7×	123 0.4×	234 0.9×	269 1.7×	66	653
Mauro Migliardi	97 0.3×	156 0.5×	284 1.0×	428 1.7×	294 1.8×	76	797
Miao Hu	251 0.7×	160 0.5×	118 0.4×	275 1.1×	107 0.7×	66	663

Countries citing papers authored by Fausto Rabitti

Since Specialization

Citations

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

Fields of papers citing papers by Fausto Rabitti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fausto Rabitti

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