Amit Sen

2.1k citations
76 papers · 924 · h-index 15

Impact in

Papers in

Amit Sen

71 papers receiving 831 citations

Peers

Amit Sen
Comparison fields: 5 of 133
  • General Economics, Econometrics and Finance 271
  • Economics and Econometrics 446
  • Finance 118
  • Geophysics 112
  • Nuclear and High Energy Physics 100
Replace William J. Nuttall with:
William J. Nuttall United Kingdom
Jacqueline Williams United States
Amos Zemel Israel
Robert E. Wright United States
T. Wong United States
Max Neiman United States
Paul Henderson United Kingdom
Kai Carstensen Germany
Muhammad Arshad Khan Pakistan
Mauro Costantini Italy
Amit Sen relative to William J. Nuttall United Kingdom William J. Nuttall's profile →
Citations per field
00.5×6.9×
William J. Nuttall · 1×
Citations per year

Countries citing papers authored by Amit Sen

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Sen Line = papers co-authored together Amit Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994218
2 2003187
3 199957
4 200631
5 200829
6 201720
7 200620
8 200818
9 198618
10 201117
11 201917
12 201616
13 200416
14 199915
15 201114
16 201013
17 201813
18 201911
19 20219
20
Evidence Regarding Persistence in the Gender Unemployment Gap Based on the Ratio of Female to Male Unemployment Rate
20078

About Amit Sen

Amit Sen is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Nuclear and High Energy Physics, Geophysics and Finance, having authored 76 papers that have together received 924 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (21 papers), Nuclear physics research studies (17 papers), Geological and Geochemical Analysis (13 papers), Astronomical and nuclear sciences (11 papers), Market Dynamics and Volatility (9 papers), Economic theories and models (8 papers), Economic Growth and Productivity (7 papers) and earthquake and tectonic studies (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (271 citations), Economics and Econometrics (446 citations), Finance (118 citations), Geophysics (112 citations) and Nuclear and High Energy Physics (100 citations). Amit Sen has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Alastair R. Hall, John W. Dawson, Jean Drèze, Michael Jones‐Lee, Stephen Glaister, David Pearce, Partha Dasgupta, Richard Layard, Joseph E. Stiglitz and Dale Whittington. Their work appears in journals such as Physical review. C, Physics Letters B, Journal of Business and Economic Statistics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Economics Letters.

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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