Subhadeep Chakraborty
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Automotive Engineering top 10%
- Biomedical Engineering
- Co-authors
- Asok RayAsad J. KhattakEric KellerJeffrey J. GagliardoJacob M. LaMannaMatthew M. MenchSubhashis RayAchintya Mukhopadhyay
- Topics
- Fault Detection and Control Systems (11 papers)Robotic Path Planning Algorithms (5 papers)Neural Networks and Applications (5 papers)
- Journals
- International Journal of Hydrogen EnergyAccident Analysis & PreventionTransportation Research Part C Emerging Technologies
- Partner nations
- United StatesIndiaPakistan
In The Last Decade
Subhadeep Chakraborty
51 papers receiving 466 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 126
- Control and Systems Engineering 115
- Mechanical Engineering 85
- Automotive Engineering 74
- Biomedical Engineering 73
Countries citing papers authored by Subhadeep Chakraborty
This map shows the geographic impact of Subhadeep Chakraborty'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 Subhadeep Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhadeep Chakraborty more than expected).
Fields of papers citing papers by Subhadeep Chakraborty
This network shows the impact of papers produced by Subhadeep Chakraborty. 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 Subhadeep Chakraborty. The network helps show where Subhadeep Chakraborty may publish in the future.
Co-authorship network of co-authors of Subhadeep Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Subhadeep Chakraborty. A scholar is included among the top collaborators of Subhadeep Chakraborty 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 Subhadeep Chakraborty. Subhadeep Chakraborty 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 33 | |
| 10 | 4 | |
| 11 | Social Influence on Driver Decisions Using Modeling and Gossip Algorithms | 3 |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 1 | |
| 20 | 13 |
About Subhadeep Chakraborty
Subhadeep Chakraborty is a scholar working on Transportation, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 57 papers that have together received 484 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Robotic Path Planning Algorithms (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (57 citations), Automotive Engineering (74 citations) and Control and Systems Engineering (115 citations). Subhadeep Chakraborty has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Asok Ray, Asad J. Khattak, Eric Keller, Jeffrey J. Gagliardo, Jacob M. LaManna, Matthew M. Mench, Subhashis Ray, Achintya Mukhopadhyay, Mohsen Kamrani and Ramin Arvin. Their work appears in journals such as International Journal of Hydrogen Energy, Accident Analysis & Prevention and Transportation Research Part C Emerging Technologies.
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.