Vincenzo Niola

157 total papers · 1.3k total citations
74 papers, 764 citations indexed

About

Vincenzo Niola is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Vincenzo Niola has authored 74 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 20 papers in Biomedical Engineering and 19 papers in Mechanical Engineering. Recurrent topics in Vincenzo Niola's work include Robot Manipulation and Learning (12 papers), Soft Robotics and Applications (9 papers) and Robotic Mechanisms and Dynamics (7 papers). Vincenzo Niola is often cited by papers focused on Robot Manipulation and Learning (12 papers), Soft Robotics and Applications (9 papers) and Robotic Mechanisms and Dynamics (7 papers). Vincenzo Niola collaborates with scholars based in Italy, United States and Australia. Vincenzo Niola's co-authors include Sergio Savino, Giuseppe Quaremba, Daniele Esposito, Paolo Bifulco, Gaetano D. Gargiulo, Cesare Rossi, Mario Cesarelli, Amedeo Amoresano, Upul Gunawardana and Ganesh R. Naik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Materials Processing Technology.

In The Last Decade

Vincenzo Niola

61 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Vincenzo Niola	422	181	139	126	118	74	764
Sergio Savino	510 1.2×	195 1.1×	142 1.0×	123 1.0×	196 1.7×	58	820
Sunil L. Kukreja	296 0.7×	202 1.1×	75 0.5×	94 0.7×	311 2.6×	64	889
Xu Liang	342 0.8×	92 0.5×	50 0.4×	141 1.1×	184 1.6×	57	622
Yukinori Kakazu	357 0.8×	185 1.0×	111 0.8×	58 0.5×	145 1.2×	123	754
Joga Dharma Setiawan	188 0.4×	104 0.6×	39 0.3×	162 1.3×	220 1.9×	92	720
Win Tun Latt	349 0.8×	72 0.4×	154 1.1×	80 0.6×	220 1.9×	40	815
Alireza Mohammadi	362 0.9×	106 0.6×	46 0.3×	68 0.5×	243 2.1×	59	728
Lingling Chen	232 0.5×	87 0.5×	65 0.5×	104 0.8×	43 0.4×	78	847
Shaolong Kuang	304 0.7×	256 1.4×	127 0.9×	120 1.0×	70 0.6×	64	705
Cheng Yap Shee	246 0.6×	78 0.4×	154 1.1×	75 0.6×	265 2.2×	52	695

Countries citing papers authored by Vincenzo Niola

Since Specialization

Citations

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

Fields of papers citing papers by Vincenzo Niola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Niola

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