Shumon Koga
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Computational Mechanics top 10%
- Co-authors
- Miroslav KrstićMamadou DiagneTiago Roux OliveiraYangjun PiJi WangNikolay AtanasovHuan YuIasson Karafyllis
- Topics
- Stability and Controllability of Differential Equations (19 papers)Advanced Mathematical Modeling in Engineering (11 papers)Numerical methods in inverse problems (9 papers)
- Journals
- IEEE Transactions on Automatic ControlAutomaticaIEEE Transactions on Control Systems Technology
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Shumon Koga
43 papers receiving 548 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 406
- Computational Theory and Mathematics 131
- Computer Networks and Communications 80
- Mechanical Engineering 78
- Computational Mechanics 73
Countries citing papers authored by Shumon Koga
This map shows the geographic impact of Shumon Koga'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 Shumon Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumon Koga more than expected).
Fields of papers citing papers by Shumon Koga
This network shows the impact of papers produced by Shumon Koga. 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 Shumon Koga. The network helps show where Shumon Koga may publish in the future.
Co-authorship network of co-authors of Shumon Koga
This figure shows the co-authorship network connecting the top 25 collaborators of Shumon Koga. A scholar is included among the top collaborators of Shumon Koga 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 Shumon Koga. Shumon Koga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 17 | |
| 16 | 28 | |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 45 | |
| 20 | 8 |
About Shumon Koga
Shumon Koga is a scholar working on Control and Systems Engineering, Mathematical Physics and Computational Theory and Mathematics, having authored 46 papers that have together received 557 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (19 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Numerical methods in inverse problems (9 papers). The work is most often cited by research in Control and Systems Engineering (406 citations), Computational Theory and Mathematics (131 citations) and Numerical Analysis (44 citations). Shumon Koga has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Miroslav Krstić, Mamadou Diagne, Tiago Roux Oliveira, Yangjun Pi, Ji Wang, Nikolay Atanasov, Huan Yu, Iasson Karafyllis, Delphine Bresch‐Pietri and Takashi Hiyama. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Control Systems Technology.
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.