Marcel Bergerman

2.4k citations
72 papers · 1.4k · h-index 22

Impact in

Papers in

Marcel Bergerman

69 papers receiving 1.3k citations

Peers

Marcel Bergerman
Comparison fields: 5 of 93
  • Control and Systems Engineering 535
  • Aerospace Engineering 497
  • Computer Vision and Pattern Recognition 246
  • Ocean Engineering 142
  • Media Technology 77
Replace Jang-Myung Lee with:
Jang-Myung Lee South Korea
Anthony Mandow Spain
Annalisa Milella Italy
Sheng Xu China
Takanori Fukao Japan
J. Orozco Spain
Dezhen Song United States
Jayantha Katupitiya Australia
Miguel Torres‐Torriti Chile
Jeremy S. Smith United Kingdom
Marcel Bergerman relative to Jang-Myung Lee South Korea Jang-Myung Lee's profile →
Citations per field
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Jang-Myung Lee · 1×
Citations per year

Countries citing papers authored by Marcel Bergerman

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Bergerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcel Bergerman, 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 Marcel Bergerman Line = papers co-authored together Marcel Bergerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002108
2 201584
3 201576
4 199966
5 200366
6 200358
7 199857
8 201655
9 199646
10 199543
11 200341
12 201236
13 201335
14 201230
15 201028
16 201126
17 200725
18 201325
19 200225
20 200723

About Marcel Bergerman

Marcel Bergerman is a scholar working on Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering, Plant Science and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (15 papers), Robotic Path Planning Algorithms (12 papers), Underwater Vehicles and Communication Systems (12 papers), Dynamics and Control of Mechanical Systems (12 papers), Aerospace Engineering and Energy Systems (11 papers), Control and Dynamics of Mobile Robots (9 papers), Advanced Control Systems Optimization (8 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (535 citations), Aerospace Engineering (497 citations), Computer Vision and Pattern Recognition (246 citations), Ocean Engineering (142 citations) and Media Technology (77 citations). Marcel Bergerman has collaborated with scholars based in United States, Brazil and Portugal. Frequent co-authors include Yangsheng Xu, Sanjiv Singh, Samuel S. Bueno, Josué J. G. Ramos, Alberto Elfes, Bradley Hamner, Marco H. Terra, Gökhan Bayar, Ahmet Buğra Koku and Erhan İlhan Konukseven. Their work appears in journals such as IEEE Robotics & Automation Magazine, Journal of Dynamic Systems Measurement and Control, Proceedings of the IEEE, IEEE Transactions on Robotics and Automation and Computers and Electronics in Agriculture.

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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