Aditya Tulsyan
- Control and Systems Engineering top 2%
- Molecular Biology
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Co-authors
- R. Bhushan GopaluniBiao HuangCenk ÜndeySteven SpielbergPhilip D. LoewenJ. Fraser ForbesYi-Ting TsaiRichard D. Braatz
- Topics
- Fault Detection and Control Systems (29 papers)Advanced Control Systems Optimization (16 papers)Control Systems and Identification (11 papers)
- Journals
- Journal of Power SourcesIndustrial & Engineering Chemistry ResearchChemical Engineering Science
- Partner nations
- United StatesCanadaChina
In The Last Decade
Aditya Tulsyan
41 papers receiving 889 citations
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 539
- Molecular Biology 173
- Artificial Intelligence 172
- Electrical and Electronic Engineering 154
- Automotive Engineering 131
Countries citing papers authored by Aditya Tulsyan
This map shows the geographic impact of Aditya Tulsyan'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 Aditya Tulsyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Tulsyan more than expected).
Fields of papers citing papers by Aditya Tulsyan
This network shows the impact of papers produced by Aditya Tulsyan. 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 Aditya Tulsyan. The network helps show where Aditya Tulsyan may publish in the future.
Co-authorship network of co-authors of Aditya Tulsyan
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Tulsyan. A scholar is included among the top collaborators of Aditya Tulsyan 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 Aditya Tulsyan. Aditya Tulsyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 32 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 55 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 9 | |
| 20 | 11 |
About Aditya Tulsyan
Aditya Tulsyan is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Biophysics, having authored 41 papers that have together received 911 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (29 papers), Advanced Control Systems Optimization (16 papers) and Control Systems and Identification (11 papers). The work is most often cited by research in Control and Systems Engineering (539 citations), Statistics, Probability and Uncertainty (116 citations) and Biophysics (84 citations). Aditya Tulsyan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include R. Bhushan Gopaluni, Biao Huang, Cenk Ündey, Steven Spielberg, Philip D. Loewen, J. Fraser Forbes, Yi-Ting Tsai, Richard D. Braatz, Nathan P. Lawrence and Tony Wang. Their work appears in journals such as Journal of Power Sources, Industrial & Engineering Chemistry Research and Chemical Engineering Science.
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.