Massimo Callegari

1.7k citations
88 papers · 1.1k · h-index 19

Impact in

Papers in

Massimo Callegari

82 papers receiving 1.0k citations

Peers

Massimo Callegari
Comparison fields: 5 of 91
  • Control and Systems Engineering 636
  • Industrial and Manufacturing Engineering 129
  • Mechanical Engineering 298
  • Biomedical Engineering 311
  • Ocean Engineering 75
Replace Kazuo YOSHIDA with:
Kazuo YOSHIDA Japan
Jianjun Yao China
Carl A. Moore United States
Po Ting Lin Taiwan
Tianqi Wang China
Zhanfeng Chen China
Luca Bruzzone Italy
Vinh Nguyen United States
Zhichao Hou China
Massimo Callegari relative to Kazuo YOSHIDA Japan Kazuo YOSHIDA's profile →
Citations per field
00.5×4.2×
Kazuo YOSHIDA · 1×
Citations per year

Countries citing papers authored by Massimo Callegari

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Callegari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Callegari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Callegari Line = papers co-authored together Massimo Callegari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199395
2 201490
3 200584
4 201559
5 201449
6 200348
7 200635
8 201227
9 201226
10 200925
11 202124
12 201223
13 201823
14 202122
15 202021
16 201820
17 200620
18 201420
19 201318
20 201718

About Massimo Callegari

Massimo Callegari is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (43 papers), Robot Manipulation and Learning (19 papers), Manufacturing Process and Optimization (14 papers), Soft Robotics and Applications (14 papers), Modular Robots and Swarm Intelligence (12 papers), Piezoelectric Actuators and Control (7 papers), Underwater Vehicles and Communication Systems (6 papers) and Dynamics and Control of Mechanical Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (636 citations), Industrial and Manufacturing Engineering (129 citations), Mechanical Engineering (298 citations), Biomedical Engineering (311 citations) and Ocean Engineering (75 citations). Massimo Callegari has collaborated with scholars based in Italy, Brazil and Canada. Frequent co-authors include Matteo-Claudio Palpacelli, Giacomo Palmieri, Luca Carbonari, Stefano Lenci, Daniele Massa, Cristina Cristalli, V. Zanini, A. Grisotti, Salvatore Catania and Daniele Costa. Their work appears in journals such as Meccanica, Robotics, Journal of Mechanical Design, Applied Sciences and Mechanism and Machine Theory.

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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