Tamás Bécsi

925 citations
92 papers · 649 · h-index 14

Impact in

Papers in

Tamás Bécsi

85 papers receiving 619 citations

Peers

Tamás Bécsi
Comparison fields: 5 of 66
  • Automotive Engineering 328
  • Control and Systems Engineering 295
  • Transportation 66
  • Building and Construction 103
  • Industrial and Manufacturing Engineering 55
Replace Szilárd Aradi with:
Szilárd Aradi Hungary
Manjiang Hu China
Zsolt Szalay Hungary
Fei Yan China
Franck Gechter France
Manuel Fogue Spain
Girma Tewolde United States
Malika Meghjani Singapore
Tamás Bécsi relative to Szilárd Aradi Hungary Szilárd Aradi's profile →
Citations per field
00.5×1.5×
Szilárd Aradi · 1×
Citations per year

Countries citing papers authored by Tamás Bécsi

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Bécsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Tamás Bécsi, 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 Tamás Bécsi Line = papers co-authored together Tamás Bécsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201547
2 201641
3 202334
4 202030
5 201730
6 202023
7 201923
8 201822
9 201917
10 202016
11 202115
12 202115
13 201414
14 202214
15 201313
16 201813
17 202212
18 201510
19 202310
20 201810

About Tamás Bécsi

Tamás Bécsi is a scholar working on Automotive Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 92 papers that have together received 649 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (37 papers), Traffic control and management (27 papers), Reinforcement Learning in Robotics (16 papers), Transportation Planning and Optimization (16 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Vehicle Dynamics and Control Systems (14 papers), Hydraulic and Pneumatic Systems (12 papers) and Robotic Path Planning Algorithms (12 papers). The work is most often cited by research in Automotive Engineering (328 citations), Control and Systems Engineering (295 citations), Transportation (66 citations), Building and Construction (103 citations) and Industrial and Manufacturing Engineering (55 citations). Tamás Bécsi has collaborated with scholars based in Hungary. Frequent co-authors include Szilárd Aradi, Péter Gáspár, Tamás Tettamanti, Tamás Péter, Zsolt Szalay, István Varga, Domokos Esztergár‐Kiss, Balaźs Kulcsár, László Palkovics and Á. Szabó. Their work appears in journals such as Electronics, IEEE Access, Applied Sciences, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Intelligent Vehicles.

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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