Giovanni Ulivi

146 total papers · 2.9k total citations
110 papers, 1.9k citations indexed

About

Giovanni Ulivi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Giovanni Ulivi has authored 110 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 30 papers in Computer Vision and Pattern Recognition and 30 papers in Aerospace Engineering. Recurrent topics in Giovanni Ulivi's work include Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (29 papers) and Distributed Control Multi-Agent Systems (19 papers). Giovanni Ulivi is often cited by papers focused on Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (29 papers) and Distributed Control Multi-Agent Systems (19 papers). Giovanni Ulivi collaborates with scholars based in Italy, United States and Belgium. Giovanni Ulivi's co-authors include Stefano Panzieri, Alessandro De Luca, Giuseppe Oriolo, Marilena Vendittelli, Andrea Gasparri, Federica Pascucci, Leonardo Lanari, Roberto Setola, Lorenzo Sabattini and A. Bellini and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Giovanni Ulivi

104 papers receiving 1.8k citations

Author Peers

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

Author						Papers	Cites
Giovanni Ulivi	823	533	521	457	357	110	1.9k
Stjepan Bogdan	949 1.2×	817 1.5×	756 1.5×	238 0.5×	392 1.1×	197	2.6k
Xiang Chen	755 0.9×	380 0.7×	407 0.8×	176 0.4×	331 0.9×	191	1.8k
Hongbin Ma	808 1.0×	290 0.5×	290 0.6×	225 0.5×	221 0.6×	165	1.7k
Indra Narayan Kar	1.8k 2.2×	356 0.7×	278 0.5×	385 0.8×	308 0.9×	169	2.5k
Toru Namerikawa	1.1k 1.4×	255 0.5×	478 0.9×	546 1.2×	382 1.1×	254	2.0k
Sidney Givigi	461 0.6×	468 0.9×	594 1.1×	196 0.4×	191 0.5×	172	1.6k
Mark W. Mueller	767 0.9×	755 1.4×	838 1.6×	201 0.4×	187 0.5×	53	1.8k
Joshua A. Marshall	515 0.6×	407 0.8×	546 1.0×	162 0.4×	313 0.9×	72	1.6k
Myo Taeg Lim	703 0.9×	284 0.5×	254 0.5×	453 1.0×	150 0.4×	118	1.9k
George Kantor	703 0.9×	832 1.6×	836 1.6×	410 0.9×	275 0.8×	109	2.6k

Countries citing papers authored by Giovanni Ulivi

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Ulivi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Ulivi

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