Sagnik Sarkar
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Shaashwat AgrawalThippa Reddy GadekalluPraveen Kumar Reddy MaddikuntaMamoun AlazabSweta BhattacharyaGokul YenduriOns AouediKandaraj Piamrat
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Recommender Systems and Techniques (2 papers)Internet Traffic Analysis and Secure E-voting (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer CommunicationsApplied Intelligence
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Sagnik Sarkar
9 papers receiving 336 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 229
- Computer Networks and Communications 187
- Signal Processing 56
- Information Systems 51
- Electrical and Electronic Engineering 36
Countries citing papers authored by Sagnik Sarkar
This map shows the geographic impact of Sagnik Sarkar'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 Sagnik Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagnik Sarkar more than expected).
Fields of papers citing papers by Sagnik Sarkar
This network shows the impact of papers produced by Sagnik Sarkar. 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 Sagnik Sarkar. The network helps show where Sagnik Sarkar may publish in the future.
Co-authorship network of co-authors of Sagnik Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sagnik Sarkar. A scholar is included among the top collaborators of Sagnik Sarkar 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 Sagnik Sarkar. Sagnik Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | Federated Learning for intrusion detection system: Concepts, challenges and future directionsbreakdown → | 223 |
| 6 | 46 | |
| 7 | 26 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 0 |
About Sagnik Sarkar
Sagnik Sarkar is a scholar working on Safety, Risk, Reliability and Quality, Artificial Intelligence and Transportation, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (187 citations), Artificial Intelligence (229 citations) and Signal Processing (56 citations). Sagnik Sarkar has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Shaashwat Agrawal, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Mamoun Alazab, Sweta Bhattacharya, Gokul Yenduri, Ons Aouedi, Kandaraj Piamrat, Quoc‐Viet Pham and Gautam Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Communications and Applied Intelligence.
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.