Valerio Digani

22 total papers · 773 total citations
17 papers, 521 citations indexed

About

Valerio Digani is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Valerio Digani has authored 17 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Valerio Digani's work include Advanced Manufacturing and Logistics Optimization (16 papers), Robotic Path Planning Algorithms (9 papers) and Traffic control and management (5 papers). Valerio Digani is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (16 papers), Robotic Path Planning Algorithms (9 papers) and Traffic control and management (5 papers). Valerio Digani collaborates with scholars based in Italy and United States. Valerio Digani's co-authors include Cristian Secchi, Lorenzo Sabattini, Cesare Fantuzzi, Elena Cardarelli, M. Ani Hsieh, Fabio Oleari, Mark Meyer and Kay Fuerstenberg and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Valerio Digani

17 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
Valerio Digani	323	243	156	108	88	17	521
Goran Vasiljević	118 0.4×	142 0.6×	129 0.8×	84 0.8×	100 1.1×	34	476
Elias K. Xidias	165 0.5×	208 0.9×	159 1.0×	41 0.4×	54 0.6×	41	505
Anupam Keshari	100 0.3×	160 0.7×	70 0.4×	44 0.4×	151 1.7×	14	449
Edwin Hou	77 0.2×	134 0.6×	179 1.1×	115 1.1×	72 0.8×	31	594
Sung-Woo Kim	146 0.5×	73 0.3×	153 1.0×	35 0.3×	160 1.8×	14	505
Paraskevi Zacharia	349 1.1×	135 0.6×	143 0.9×	16 0.1×	38 0.4×	39	609
Quang-Vinh Dang	411 1.3×	68 0.3×	70 0.4×	57 0.5×	20 0.2×	25	516
Bojan Babić	311 1.0×	126 0.5×	57 0.4×	16 0.1×	46 0.5×	18	572
Abdullah Mohammed	222 0.7×	77 0.3×	218 1.4×	46 0.4×	19 0.2×	22	484
Hao Dong	195 0.6×	157 0.6×	84 0.5×	28 0.3×	24 0.3×	23	608

Countries citing papers authored by Valerio Digani

Since Specialization

Citations

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

Fields of papers citing papers by Valerio Digani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Digani

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