Nicola Mosca

75 total papers · 761 total citations
46 papers, 466 citations indexed

About

Nicola Mosca is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Nicola Mosca has authored 46 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Nicola Mosca's work include Video Analysis and Summarization (14 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (8 papers). Nicola Mosca is often cited by papers focused on Video Analysis and Summarization (14 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (8 papers). Nicola Mosca collaborates with scholars based in Italy, United States and Canada. Nicola Mosca's co-authors include Tiziana D’Orazio, Paolo Spagnolo, Massimiliano Nitti, Marco Leo, Pier Luigi Mazzeo, Ettore Stella, Vito Renò, A. Distante, Erich J. Windhab and Peter Fischer and has published in prestigious journals such as Langmuir, IEEE Access and Sensors.

In The Last Decade

Nicola Mosca

40 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Nicola Mosca 295 86 65 51 39 46 466
Haonan Chen 224 0.8× 33 0.4× 14 0.2× 29 0.6× 24 0.6× 29 533
Chao Tang 89 0.3× 120 1.4× 18 0.3× 53 1.0× 19 0.5× 52 404
Emmanuel Okafor 108 0.4× 99 1.2× 8 0.1× 49 1.0× 18 0.5× 36 519
Jiun‐Jian Liaw 182 0.6× 31 0.4× 5 0.1× 50 1.0× 23 0.6× 44 466
Rongjun Chen 182 0.6× 76 0.9× 6 0.1× 72 1.4× 47 1.2× 59 470
Qian Sun 76 0.3× 35 0.4× 13 0.2× 62 1.2× 5 0.1× 58 469
Le Zou 240 0.8× 53 0.6× 16 0.2× 20 0.4× 15 0.4× 51 419
Andrzej Bielecki 60 0.2× 84 1.0× 27 0.4× 30 0.6× 5 0.1× 57 466
Mingwei Li 32 0.1× 71 0.8× 16 0.2× 129 2.5× 11 0.3× 34 513
Marc Stöttinger 96 0.3× 199 2.3× 13 0.2× 29 0.6× 49 1.3× 29 439

Countries citing papers authored by Nicola Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Mosca

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