Ashwani Saith

124 total papers · 1.6k total citations
52 papers, 863 citations indexed

About

Ashwani Saith is a scholar working on Sociology and Political Science, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, Ashwani Saith has authored 52 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 11 papers in Economics and Econometrics and 8 papers in Political Science and International Relations. Recurrent topics in Ashwani Saith's work include Indian Economic and Social Development (9 papers), Economic Theory and Policy (8 papers) and Social and Economic Development in India (7 papers). Ashwani Saith is often cited by papers focused on Indian Economic and Social Development (9 papers), Economic Theory and Policy (8 papers) and Social and Economic Development in India (7 papers). Ashwani Saith collaborates with scholars based in Netherlands, United States and United Kingdom. Ashwani Saith's co-authors include Martin Doornbos, M. Vijayabaskar, Keith Griffin, Jan Breman, Ajit K. Ghose, Ben White, Eduard B. Vermeer, Joel G. Breman, Sudipto Mundle and Nirvikar Singh and has published in prestigious journals such as World Development, Carcinogenesis and Journal of Development Economics.

In The Last Decade

Ashwani Saith

49 papers receiving 654 citations

Author Peers

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

Author Last Decade Papers Cites
Ashwani Saith 501 228 174 133 110 52 863
Rosemary Thorp 285 0.6× 216 0.9× 237 1.4× 95 0.7× 33 0.3× 63 855
Arsenio M. Balisacan 317 0.6× 350 1.5× 103 0.6× 228 1.7× 197 1.8× 62 841
An Ansoms 503 1.0× 64 0.3× 164 0.9× 274 2.1× 160 1.5× 63 937
Shelley Feldman 464 0.9× 151 0.7× 218 1.3× 193 1.5× 76 0.7× 54 958
Gareth Austin 363 0.7× 285 1.3× 85 0.5× 61 0.5× 90 0.8× 40 984
Sarah Bracking 444 0.9× 246 1.1× 149 0.9× 44 0.3× 36 0.3× 59 951
Anthony Bebbington 408 0.8× 97 0.4× 186 1.1× 196 1.5× 29 0.3× 41 994
Binayak Sen 472 0.9× 317 1.4× 63 0.4× 117 0.9× 264 2.4× 41 1.0k
Dharam Ghai 309 0.6× 159 0.7× 264 1.5× 49 0.4× 41 0.4× 67 867
Elizabeth Harrison 473 0.9× 125 0.5× 176 1.0× 87 0.7× 33 0.3× 33 993

Countries citing papers authored by Ashwani Saith

Since Specialization
Citations

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

Fields of papers citing papers by Ashwani Saith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwani Saith

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