Bogdan Trăsnea

1.7k citations
6 papers · 1.1k indexed · 1 hit paper · h-index 4
Topics
Autonomous Vehicle Technology and Safety (5 papers)Advanced Neural Network Applications (4 papers)Robotic Path Planning Algorithms (2 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsIEEE Robotics and Automation Letters
Partner nations
RomaniaUnited Kingdom

In The Last Decade

Bogdan Trăsnea

5 papers receiving 1.0k citations

Hit Papers

A survey of deep learning techniques for autonomous driving201920262021202320192505007501000

Peers

Bogdan Trăsnea
Comparison fields: 5 of 114
  • Artificial Intelligence 419
  • Computer Vision and Pattern Recognition 378
  • Automotive Engineering 274
  • Electrical and Electronic Engineering 147
  • Control and Systems Engineering 133
Replace Tiberiu Cocias with:
Tiberiu Cocias Romania
Gigel Măceșanu Romania
Sorin Grigorescu Romania
Alexander Amini United States
David Meger Canada
Antonio Loquercio United States
Edward Tunstel United States
Hongbin Sun China
Jin Li China
Walter Stechele Germany
Bogdan Trăsnea relative to Tiberiu Cocias Romania Tiberiu Cocias's profile →
Citations per field
00.5×1.5×
Tiberiu Cocias · 1×
Citations per year

Countries citing papers authored by Bogdan Trăsnea

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Trăsnea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Trăsnea

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Trăsnea. A scholar is included among the top collaborators of Bogdan Trăsnea 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 Bogdan Trăsnea. Bogdan Trăsnea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Bogdan Trăsnea

Bogdan Trăsnea is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Social Psychology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (4 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Automotive Engineering (274 citations), Computer Vision and Pattern Recognition (378 citations) and Health Informatics (19 citations). Bogdan Trăsnea has collaborated with scholars based in Romania and United Kingdom. Frequent co-authors include Sorin Grigorescu, Tiberiu Cocias, Gigel Măceșanu, Leonardo Aniello, Federico Lombardi, Andrea Margheri, Lucian Buşoniu and Claudiu Pozna. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Robotics and Automation Letters.

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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