Dilip Senapati
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Information Systems
- Artificial Intelligence
- Co-authors
- Sujit BeborttaBibudhendu PatiAmit Kumar SinghChhabi Rani PanigrahiKarmeshuPrayag TiwariJia QianAmit Kumar Jaiswal
- Topics
- IoT and Edge/Fog Computing (8 papers)Statistical Mechanics and Entropy (4 papers)Complex Systems and Time Series Analysis (4 papers)
In The Last Decade
Dilip Senapati
24 papers receiving 247 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 120
- Electrical and Electronic Engineering 81
- Computer Vision and Pattern Recognition 46
- Information Systems 34
- Artificial Intelligence 31
Countries citing papers authored by Dilip Senapati
This map shows the geographic impact of Dilip Senapati'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 Dilip Senapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilip Senapati more than expected).
Fields of papers citing papers by Dilip Senapati
This network shows the impact of papers produced by Dilip Senapati. 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 Dilip Senapati. The network helps show where Dilip Senapati may publish in the future.
Co-authorship network of co-authors of Dilip Senapati
This figure shows the co-authorship network connecting the top 25 collaborators of Dilip Senapati. A scholar is included among the top collaborators of Dilip Senapati 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 Dilip Senapati. Dilip Senapati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 52 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 8 | |
| 16 | Option pricing model based on sentiment using the Gram-Charlier expansion | 1 |
| 17 | 8 | |
| 18 | 21 | |
| 19 | 18 | |
| 20 | 18 |
About Dilip Senapati
Dilip Senapati is a scholar working on Computer Networks and Communications, Finance and Statistical and Nonlinear Physics, having authored 26 papers that have together received 252 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Statistical Mechanics and Entropy (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Computer Networks and Communications (120 citations), Computer Vision and Pattern Recognition (46 citations) and Statistics and Probability (17 citations). Dilip Senapati has collaborated with scholars based in India, Denmark and Italy. Frequent co-authors include Sujit Bebortta, Bibudhendu Pati, Amit Kumar Singh, Chhabi Rani Panigrahi, Karmeshu, Prayag Tiwari, Jia Qian, Amit Kumar Jaiswal, Hari Mohan Pandey and Nikhil Kumar Rajput. Their work appears in journals such as IEEE Internet of Things Journal, Chaos Solitons & Fractals and Neural Computing and Applications.
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.