Radu Grosu

5.6k citations
136 papers · 1.7k · h-index 23

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Advanced Battery Technologies Research
    • Autonomous Vehicle Technology and Safety

Papers in

Radu Grosu

125 papers receiving 1.6k citations

Peers

Radu Grosu
Comparison fields: 5 of 116
  • Software 175
  • Automotive Engineering 278
  • Hardware and Architecture 146
  • Computational Theory and Mathematics 301
  • Artificial Intelligence 449
Replace Yiu-Wing Leung with:
Yiu-Wing Leung Hong Kong
Roberto Passerone Italy
Zonghua Gu China
Xiang Yin China
Mo Chen United States
Patrick Doherty Sweden
Oliver Bringmann Germany
Pedro U. Lima Portugal
Tony Givargis United States
Hongbin Sun China
Radu Grosu relative to Yiu-Wing Leung Hong Kong Yiu-Wing Leung's profile →
Citations per field
00.5×9.5×
Yiu-Wing Leung · 1×
Citations per year

Countries citing papers authored by Radu Grosu

Since Specialization
Citations

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

Fields of papers citing papers by Radu Grosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021179
2 2020140
3 2021135
4 201980
5 201946
6 202145
7 202443
8 200940
9 201838
10 202135
11 201135
12 200133
13 201831
14 201629
15 201029
16 201827
17 201825
18 201525
19
Efficient Modeling of Excitable Cells Using Hybrid Automata
200525
20 200824

About Radu Grosu

Radu Grosu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering and Software, having authored 136 papers that have together received 1.7k indexed citations. Recurring topics across this work include Formal Methods in Verification (38 papers), Advanced Software Engineering Methodologies (14 papers), Model-Driven Software Engineering Techniques (12 papers), Fault Detection and Control Systems (11 papers), Software Testing and Debugging Techniques (11 papers), Reinforcement Learning in Robotics (9 papers), Neural Networks and Applications (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). The work is most often cited by research in Software (175 citations), Automotive Engineering (278 citations), Hardware and Architecture (146 citations), Computational Theory and Mathematics (301 citations) and Artificial Intelligence (449 citations). Radu Grosu has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Ramin Hasani, Scott A. Smolka, Mathias Lechner, Daniela Rus, Ezio Bartocci, Alexander Amini, Penghua Li, Jie Hou, Thomas A. Henzinger and Zijian Zhang. Their work appears in journals such as Formal Methods in System Design, International Journal on Software Tools for Technology Transfer, Theoretical Computer Science, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Access.

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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