Stefano Caselli

158 total papers · 2.3k total citations
121 papers, 1.5k citations indexed

About

Stefano Caselli is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Stefano Caselli has authored 121 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 48 papers in Control and Systems Engineering and 44 papers in Aerospace Engineering. Recurrent topics in Stefano Caselli's work include Robot Manipulation and Learning (42 papers), Robotics and Sensor-Based Localization (41 papers) and Robotic Path Planning Algorithms (24 papers). Stefano Caselli is often cited by papers focused on Robot Manipulation and Learning (42 papers), Robotics and Sensor-Based Localization (41 papers) and Robotic Path Planning Algorithms (24 papers). Stefano Caselli collaborates with scholars based in Italy, Sweden and United States. Stefano Caselli's co-authors include Jacopo Aleotti, Monica Reggiani, Dario Lodi Rizzini, Francesco Zanichelli, Fabio Oleari, Michele Amoretti, A. Zappettini, G. Benassi, N. Zambelli and M. Bettelli and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Stefano Caselli

112 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Stefano Caselli	688	613	370	228	225	121	1.5k
Kai‐Tai Song	819 1.2×	1.4k 2.2×	471 1.3×	186 0.8×	357 1.6×	147	2.1k
Nak Young Chong	544 0.8×	524 0.9×	306 0.8×	404 1.8×	387 1.7×	185	1.8k
Alexander Zelinsky	392 0.6×	890 1.5×	371 1.0×	208 0.9×	186 0.8×	69	1.6k
Zhen Kan	910 1.3×	459 0.7×	298 0.8×	198 0.9×	297 1.3×	118	2.2k
Cipriano Galindo	419 0.6×	718 1.2×	556 1.5×	210 0.9×	130 0.6×	70	1.7k
Lucia Pallottino	725 1.1×	794 1.3×	670 1.8×	215 0.9×	204 0.9×	94	1.8k
Enrico Pagello	299 0.4×	630 1.0×	432 1.2×	189 0.8×	306 1.4×	112	1.3k
Chen Wang	692 1.0×	732 1.2×	431 1.2×	85 0.4×	430 1.9×	71	2.0k
Yunyi Jia	742 1.1×	417 0.7×	135 0.4×	270 1.2×	304 1.4×	142	1.9k
Tsutomu Hasegawa	709 1.0×	639 1.0×	382 1.0×	273 1.2×	505 2.2×	195	1.5k

Countries citing papers authored by Stefano Caselli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Caselli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Caselli

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