Saurav Sahay

71 total papers · 882 total citations
21 papers, 126 citations indexed

About

Saurav Sahay is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Saurav Sahay has authored 21 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Saurav Sahay's work include Topic Modeling (8 papers), Speech and dialogue systems (7 papers) and Natural Language Processing Techniques (4 papers). Saurav Sahay is often cited by papers focused on Topic Modeling (8 papers), Speech and dialogue systems (7 papers) and Natural Language Processing Techniques (4 papers). Saurav Sahay collaborates with scholars based in United States, India and Taiwan. Saurav Sahay's co-authors include Ashwin Ram, Sougata Mukherjea, Eugene Agichtein, A. McCollough, John Ryan, George G. Kennedy, Ernest Garcia, Lama Nachman, Hua Ai and Eda Okur and has published in prestigious journals such as Educational Technology Research and Development, Polymer Composites and Computer Speech & Language.

In The Last Decade

Saurav Sahay

19 papers receiving 115 citations

Author Peers

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

Author Last Decade Papers Cites
Saurav Sahay 93 38 25 16 14 21 126
Giovanni Moretti 172 1.8× 37 1.0× 15 0.6× 16 1.0× 6 0.4× 29 244
Karl Schultz 165 1.8× 34 0.9× 16 0.6× 9 0.6× 15 1.1× 17 215
Simon Polovina 99 1.1× 26 0.7× 5 0.2× 6 0.4× 6 0.4× 24 137
Elizabeth Hinkelman 234 2.5× 41 1.1× 5 0.2× 5 0.3× 8 0.6× 16 285
Johanna Monti 159 1.7× 21 0.6× 8 0.3× 3 0.2× 8 0.6× 37 196
Valentin Zacharias 40 0.4× 41 1.1× 6 0.2× 32 2.0× 41 2.9× 17 137
Paloma Moreda 152 1.6× 80 2.1× 22 0.9× 15 0.9× 4 0.3× 26 220
Sangho Suh 70 0.8× 13 0.3× 6 0.2× 37 2.3× 28 2.0× 19 162
Hermann Helbig 167 1.8× 29 0.8× 9 0.4× 4 0.3× 7 0.5× 24 208
Thushari Atapattu 113 1.2× 52 1.4× 26 1.0× 109 6.8× 50 3.6× 17 247

Countries citing papers authored by Saurav Sahay

Since Specialization
Citations

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

Fields of papers citing papers by Saurav Sahay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurav Sahay

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