Sudip Mittal

175 total papers · 2.7k total citations
73 papers, 1.4k citations indexed

About

Sudip Mittal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sudip Mittal has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 24 papers in Information Systems. Recurrent topics in Sudip Mittal's work include Network Security and Intrusion Detection (21 papers), Data Quality and Management (15 papers) and Advanced Malware Detection Techniques (15 papers). Sudip Mittal is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Data Quality and Management (15 papers) and Advanced Malware Detection Techniques (15 papers). Sudip Mittal collaborates with scholars based in United States, Italy and India. Sudip Mittal's co-authors include Anupam Joshi, Maanak Gupta, Mahmoud Abdelsalam, Sajad Khorsandroo, Karuna Pande Joshi, Tim Finin, Sai Sree Laya Chukkapalli, Sandeep Nair Narayanan, Aritran Piplai and Shahram Rahimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.

In The Last Decade

Sudip Mittal

67 papers receiving 1.3k citations

Hit Papers

Security and Privacy in S... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sudip Mittal 542 493 457 292 239 73 1.4k
Kerry Taylor 587 1.1× 570 1.2× 415 0.9× 103 0.4× 199 0.8× 81 1.5k
Maanak Gupta 609 1.1× 632 1.3× 565 1.2× 278 1.0× 304 1.3× 76 1.7k
Ayman El‐Sayed 577 1.1× 295 0.6× 307 0.7× 119 0.4× 170 0.7× 125 1.5k
Shashank Gupta 525 1.0× 434 0.9× 855 1.9× 131 0.4× 426 1.8× 68 1.5k
Dharavath Ramesh 328 0.6× 493 1.0× 506 1.1× 296 1.0× 80 0.3× 130 1.6k
Imran Sarwar Bajwa 305 0.6× 450 0.9× 588 1.3× 222 0.8× 50 0.2× 127 1.7k
Subarna Shakya 307 0.6× 305 0.6× 288 0.6× 99 0.3× 106 0.4× 130 1.3k
Mukesh Soni 379 0.7× 470 1.0× 317 0.7× 104 0.4× 96 0.4× 113 1.4k
Konstantinos Demestichas 326 0.6× 179 0.4× 334 0.7× 123 0.4× 105 0.4× 95 1.3k
Md. Nasir Sulaiman 381 0.7× 513 1.0× 339 0.7× 62 0.2× 167 0.7× 138 1.5k

Countries citing papers authored by Sudip Mittal

Since Specialization
Citations

This map shows the geographic impact of Sudip Mittal'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 Sudip Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudip Mittal more than expected).

Fields of papers citing papers by Sudip Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudip Mittal. 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 Sudip Mittal. The network helps show where Sudip Mittal may publish in the future.

Co-authorship network of co-authors of Sudip Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Mittal. A scholar is included among the top collaborators of Sudip Mittal 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 Sudip Mittal. Sudip Mittal 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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