Samuel Coogan

1.9k citations
111 papers · 1.1k · h-index 19

Impact in

Papers in

Samuel Coogan

98 papers receiving 1.0k citations

Peers

Samuel Coogan
Comparison fields: 5 of 71
  • Control and Systems Engineering 559
  • Transportation 137
  • Computational Theory and Mathematics 310
  • Software 68
  • Automotive Engineering 104
Replace Alex A. Kurzhanskiy with:
Alex A. Kurzhanskiy United States
Kyoung-Dae Kim South Korea
Stefan Pettersson Sweden
Cid C. de Souza Brazil
Liang Hu United Kingdom
Francesco Basile Italy
Yasser Shoukry United States
Hans Schumacher Germany
Arben Çela France
H. T. Lau Australia
Samuel Coogan relative to Alex A. Kurzhanskiy United States Alex A. Kurzhanskiy's profile →
Citations per field
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Alex A. Kurzhanskiy · 1×
Citations per year

Countries citing papers authored by Samuel Coogan

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Coogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201480
3 201276
4 201856
5 201555
6
1Traffic Network Control from Temporal Logic Specifications
201638
7 201437
8 201635
9 202333
10 202033
11 202028
12 201724
13 201724
14 201323
15 201623
16 201419
17 201619
18 201418
19 202018
20 202016

About Samuel Coogan

Samuel Coogan is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 111 papers that have together received 1.1k indexed citations. Recurring topics across this work include Formal Methods in Verification (34 papers), Traffic control and management (18 papers), Advanced Control Systems Optimization (18 papers), Robotic Path Planning Algorithms (14 papers), Transportation Planning and Optimization (11 papers), Distributed Control Multi-Agent Systems (10 papers), Fault Detection and Control Systems (9 papers) and Petri Nets in System Modeling (9 papers). The work is most often cited by research in Control and Systems Engineering (559 citations), Transportation (137 citations), Computational Theory and Mathematics (310 citations), Software (68 citations) and Automotive Engineering (104 citations). Samuel Coogan has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include Murat Arcak, Magnus Egerstedt, S. Shankar Sastry, Călin Belta, Sanjit A. Seshia, Dorsa Sadigh, Pravin Varaiya, Gustav Nilsson, Lillian J. Ratliff and Ebru Aydın Göl. Their work appears in journals such as IEEE Control Systems Letters, IEEE Transactions on Automatic Control, Automatica, Systems & Control Letters and Unmanned Systems.

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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