Sagnik Sarkar

22 total papers · 565 total citations
10 papers, 332 citations indexed

About

Sagnik Sarkar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sagnik Sarkar has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Sagnik Sarkar's 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). Sagnik Sarkar is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Sagnik Sarkar collaborates with scholars based in India, Australia and Canada. Sagnik Sarkar's co-authors include Shaashwat Agrawal, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Mamoun Alazab, Kandaraj Piamrat, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Quoc‐Viet Pham and Gautam Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Communications and Applied Intelligence.

In The Last Decade

Sagnik Sarkar

8 papers receiving 323 citations

Hit Papers

Federated Learning for in... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sagnik Sarkar 223 178 54 50 36 10 332
Shaashwat Agrawal 222 1.0× 178 1.0× 54 1.0× 50 1.0× 33 0.9× 6 323
Muhammad Sulaiman 142 0.6× 163 0.9× 60 1.1× 81 1.6× 20 0.6× 19 349
Mario Sanz 91 0.4× 173 1.0× 65 1.2× 37 0.7× 40 1.1× 16 276
Mohamed Ahzam Amanullah 157 0.7× 189 1.1× 98 1.8× 88 1.8× 57 1.6× 8 339
Mohammed Kamal Majeed 134 0.6× 184 1.0× 84 1.6× 48 1.0× 24 0.7× 7 313
D Preethi 204 0.9× 191 1.1× 112 2.1× 26 0.5× 31 0.9× 20 344
Yousef Abdi 188 0.8× 43 0.2× 28 0.5× 55 1.1× 34 0.9× 11 357
Sk. Tanzir Mehedi 153 0.7× 196 1.1× 86 1.6× 59 1.2× 53 1.5× 14 272
Gopi Krishnan Rajbahadur 97 0.4× 74 0.4× 35 0.6× 128 2.6× 41 1.1× 16 290
Jabeen Sultana 195 0.9× 135 0.8× 66 1.2× 48 1.0× 20 0.6× 13 281

Countries citing papers authored by Sagnik Sarkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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