Uma Subramanian

16 total papers · 698 total citations
10 papers, 415 citations indexed

About

Uma Subramanian is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Uma Subramanian has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Economics, Econometrics and Finance, 5 papers in Economics and Econometrics and 4 papers in Strategy and Management. Recurrent topics in Uma Subramanian's work include Global trade and economics (8 papers), International Business and FDI (3 papers) and Global Trade and Competitiveness (3 papers). Uma Subramanian is often cited by papers focused on Global trade and economics (8 papers), International Business and FDI (3 papers) and Global Trade and Competitiveness (3 papers). Uma Subramanian collaborates with scholars based in Brazil, United States and Kazakhstan. Uma Subramanian's co-authors include Warren H. Hausman, Hau L. Lee, Maureen Cropper, John M. Arnold, H.L.F. de Groot, Matthias Matthijs, Gert‐Jan Linders, Piet Rietveld, Kihoon Lee and William Anderson and has published in prestigious journals such as Production and Operations Management, Journal of Risk and Uncertainty and The World Bank eBooks.

In The Last Decade

Uma Subramanian

10 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Uma Subramanian 192 165 162 84 78 10 415
Monica Alina Mustra 155 0.8× 98 0.6× 158 1.0× 107 1.3× 108 1.4× 8 379
Evert‐Jan Visser 68 0.4× 131 0.8× 193 1.2× 68 0.8× 40 0.5× 17 465
Celestino Suárez Burguet 357 1.9× 203 1.2× 213 1.3× 141 1.7× 18 0.2× 31 482
Nobuya Haraguchi 138 0.7× 277 1.7× 84 0.5× 30 0.4× 15 0.2× 9 437
Deborah Elms 233 1.2× 115 0.7× 224 1.4× 17 0.2× 15 0.2× 22 493
Charles Fang Chin Cheng 123 0.6× 247 1.5× 85 0.5× 24 0.3× 13 0.2× 7 455
Saileshsingh Gunessee 89 0.5× 121 0.7× 244 1.5× 12 0.1× 103 1.3× 15 395
Jeff Readman 66 0.3× 63 0.4× 219 1.4× 32 0.4× 70 0.9× 9 413
Volodymyr Lugovskyy 363 1.9× 258 1.6× 163 1.0× 59 0.7× 8 0.1× 19 442
Karina Fernández-Stark 165 0.9× 101 0.6× 295 1.8× 11 0.1× 20 0.3× 15 453

Countries citing papers authored by Uma Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Uma Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Subramanian. A scholar is included among the top collaborators of Uma Subramanian 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 Uma Subramanian. Uma Subramanian 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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2026