Diptikalyan Saha

86 total papers · 2.8k total citations
43 papers, 1.2k citations indexed

About

Diptikalyan Saha is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Diptikalyan Saha has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Diptikalyan Saha's work include Software Testing and Debugging Techniques (11 papers), Semantic Web and Ontologies (9 papers) and Software Engineering Research (9 papers). Diptikalyan Saha is often cited by papers focused on Software Testing and Debugging Techniques (11 papers), Semantic Web and Ontologies (9 papers) and Software Engineering Research (9 papers). Diptikalyan Saha collaborates with scholars based in India, United States and Canada. Diptikalyan Saha's co-authors include Pranay Lohia, V. Peris, George Apostolopoulos, Kuntal Dey, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Karthik Sankaranarayanan, John T. Richards, Stephanie Houde and Kalapriya Kannan and has published in prestigious journals such as IBM Journal of Research and Development, IEEE Network and Proceedings of the VLDB Endowment.

In The Last Decade

Diptikalyan Saha

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Diptikalyan Saha 634 332 292 286 96 43 1.2k
Sicco Verwer 618 1.0× 220 0.7× 179 0.6× 237 0.8× 45 0.5× 62 1.1k
Michael Carl Tschantz 670 1.1× 206 0.6× 293 1.0× 231 0.8× 32 0.3× 33 1.2k
Amos Azaria 550 0.9× 68 0.2× 368 1.3× 161 0.6× 31 0.3× 77 1.2k
Judy Goldsmith 666 1.1× 181 0.5× 92 0.3× 288 1.0× 36 0.4× 105 1.3k
Julia Stoyanovich 734 1.2× 362 1.1× 380 1.3× 236 0.8× 67 0.7× 92 1.4k
Shuhan Yuan 578 0.9× 114 0.3× 154 0.5× 357 1.2× 12 0.1× 39 949
Irwin Kwan 394 0.6× 126 0.4× 624 2.1× 70 0.2× 48 0.5× 29 1.3k
Kuntal Dey 627 1.0× 298 0.9× 174 0.6× 34 0.1× 87 0.9× 54 1.1k
Tianyi Zhang 522 0.8× 37 0.1× 465 1.6× 147 0.5× 63 0.7× 48 1.1k
Roberto V. Zicari 680 1.1× 66 0.2× 319 1.1× 625 2.2× 81 0.8× 54 1.2k

Countries citing papers authored by Diptikalyan Saha

Since Specialization
Citations

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

Fields of papers citing papers by Diptikalyan Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diptikalyan Saha

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