Giovanni Ulivi

104 papers receiving 1.8k citations

Peers

Giovanni Ulivi
Comparison fields: 5 of 97
  • Control and Systems Engineering 826
  • Computer Vision and Pattern Recognition 533
  • Aerospace Engineering 523
  • Electrical and Electronic Engineering 458
  • Mechanical Engineering 357
Replace Victor M. Becerra with:
Victor M. Becerra United Kingdom
Marco H. Terra Brazil
Marilena Vendittelli Italy
Hyungbo Shim South Korea
Chung Choo Chung South Korea
Zhiqiang Cao China
Yangfan Li China
Thomas M. Howard United States
Jürgen Guldner Germany
Mingjun Zhang China
Giovanni Ulivi relative to Victor M. Becerra United Kingdom Victor M. Becerra's profile →
Citations per field
00.5×3.1×
Victor M. Becerra · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 35
2 4
3 1
4 60
5 1
6 2
7 17
8 19
9 12
10 5
11
Merging topological data into kalman based slam
3
12 6
13 12
14 31
15 8
16 4
17
A KF-based localization algorithm for nonholonomic mobile robots
7
18 153
19
Fuzzy maps: managing uncertainty in sensor-based motion planning
1
20 22

About Giovanni Ulivi

Giovanni Ulivi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Virology, having authored 110 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (29 papers) and Distributed Control Multi-Agent Systems (19 papers). The work is most often cited by research in Control and Systems Engineering (826 citations), Computer Vision and Pattern Recognition (533 citations) and Aerospace Engineering (523 citations). Giovanni Ulivi has collaborated with scholars based in Italy, United States and Belgium. Frequent 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. Their work appears in journals such as Bioinformatics, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

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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