Sandip Sukhtankar

2.3k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Sandip Sukhtankar is a scholar working on Sociology and Political Science, Economics and Econometrics and Soil Science. According to data from OpenAlex, Sandip Sukhtankar has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 17 papers in Economics and Econometrics and 6 papers in Soil Science. Recurrent topics in Sandip Sukhtankar's work include Corruption and Economic Development (8 papers), Microfinance and Financial Inclusion (7 papers) and Media Influence and Politics (5 papers). Sandip Sukhtankar is often cited by papers focused on Corruption and Economic Development (8 papers), Microfinance and Financial Inclusion (7 papers) and Media Influence and Politics (5 papers). Sandip Sukhtankar collaborates with scholars based in United States, United Kingdom and Canada. Sandip Sukhtankar's co-authors include Paul Niehaus, Carol Graham, Andrew C. Eggers, Karthik Muralidharan, Milan Vaishnav, Jeffrey Weaver, Akshay Mangla, Gabrielle Kruks-Wisner, Sendhil Mullainathan and Monica Singhal and has published in prestigious journals such as Science, American Economic Review and Econometrica.

In The Last Decade

Sandip Sukhtankar

23 papers receiving 951 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Building State Capacity: Evidence from Biometric Smartcards in India

2016 228 citations Karthik Muralidharan, Paul Niehaus et al. American Economic Review profile →

Peers

Sandip Sukhtankar

SPS

EE

SP

HEALT

GHP

Justina A. V. Fischer Germany

Arne Uhlendorff Germany

Andrew C. Eggers United Kingdom

Elena Bardasi United States

Éric Marlier United Kingdom

Bernard Van Praag Netherlands

Mozaffar Qizilbash United Kingdom

Sriya Iyer United Kingdom

Thomas Cornelißen Germany

Vito Peragine Italy

Justina A. V. Fischer Germany

Sandip Sukhtankar

661 ×1.5

SPS

517 ×1.4

EE

661 ×2.1

SP

262 ×1.7

HEALT

302 ×2.3

GHP

Citations per year, relative to Sandip Sukhtankar Sandip Sukhtankar (= 1×) peers Justina A. V. Fischer

Countries citing papers authored by Sandip Sukhtankar

Since Specialization

Citations

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

Fields of papers citing papers by Sandip Sukhtankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandip Sukhtankar

This figure shows the co-authorship network connecting the top 25 collaborators of Sandip Sukhtankar. A scholar is included among the top collaborators of Sandip Sukhtankar 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 Sandip Sukhtankar. Sandip Sukhtankar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gadenne, Lucie, et al.. (2024). In-Kind Transfers as Insurance. American Economic Review. 114(9). 2861–2897. 1 indexed citations

2.

Weaver, Jeffrey, Sandip Sukhtankar, Paul Niehaus, & Karthik Muralidharan. (2024). Cash Transfers for Child Development: Experimental Evidence from India. SSRN Electronic Journal. 1 indexed citations

3.

Gingerich, Daniel, et al.. (2023). Screen Now, Save Later? The Trade-Off between Administrative Ordeals and Fraud. SSRN Electronic Journal.

4.

Muralidharan, Karthik, Paul Niehaus, & Sandip Sukhtankar. (2023). Identity Verification Standards in Welfare Programs: Experimental Evidence from India. The Review of Economics and Statistics. 107(2). 372–392. 6 indexed citations

5.

Muralidharan, Karthik, Paul Niehaus, Sandip Sukhtankar, & Jeffrey Weaver. (2021). Improving Last-Mile Service Delivery Using Phone-Based Monitoring. American Economic Journal Applied Economics. 13(2). 52–82. 28 indexed citations

6.

Sukhtankar, Sandip. (2017). India’s National Rural Employment Guarantee Scheme: What Do We Really Know about the World’s Largest Workfare Program?. RePEc: Research Papers in Economics. 13(1). 231–285. 22 indexed citations

7.

Sukhtankar, Sandip. (2017). Replications in Development Economics. American Economic Review. 107(5). 32–36. 20 indexed citations

8.

Muralidharan, Karthik, Paul Niehaus, & Sandip Sukhtankar. (2016). Building State Capacity: Evidence from Biometric Smartcards in India. American Economic Review. 106(10). 2895–2929. 228 indexed citations breakdown →

9.

Sukhtankar, Sandip & Milan Vaishnav. (2015). Corruption in India: Bridging Research Evidence and Policy Options. SSRN Electronic Journal. 11(1). 193–276. 17 indexed citations

10.

Sukhtankar, Sandip. (2015). The Impact of Corruption on Consumer Markets: Evidence from the Allocation of Second-Generation Wireless Spectrum in India. The Journal of Law and Economics. 58(1). 75–109. 11 indexed citations

11.

Sukhtankar, Sandip & Milan Vaishnav. (2014). Corruption in India: Bridging Academic Evidence and Policy Options*. 4 indexed citations

12.

Niehaus, Paul & Sandip Sukhtankar. (2013). Corruption Dynamics: The Golden Goose Effect. American Economic Journal Economic Policy. 5(4). 230–269. 108 indexed citations

13.

Niehaus, Paul & Sandip Sukhtankar. (2013). The marginal rate of corruption in public programs: Evidence from India. Journal of Public Economics. 104. 52–64. 89 indexed citations

14.

Niehaus, Paul & Sandip Sukhtankar. (2012). The Marginal Rate of Corruption in Public Programs. Oxford Medical Case Reports. 2023(12). omad139–omad139. 5 indexed citations

15.

Sukhtankar, Sandip. (2012). Sweetening the Deal? Political Connections and Sugar Mills in India. American Economic Journal Applied Economics. 4(3). 43–63. 64 indexed citations

16.

Muralidharan, Karthik, et al.. (2011). Assessing the Scope for Cash Transfers in lieu of the TPDS in Rural and Urban Bihar. 4 indexed citations

17.

Graham, Carol, Andrew C. Eggers, & Sandip Sukhtankar. (2004). Does happiness pay?. Journal of Economic Behavior & Organization. 55(3). 319–342. 225 indexed citations

18.

Graham, Carol & Sandip Sukhtankar. (2004). Does Economic Crisis Reduce Support for Markets and Democracy in Latin America? Some Evidence from Surveys of Public Opinion and Well Being. Journal of Latin American Studies. 36(2). 349–377. 63 indexed citations

19.

Graham, Carol, Andrew C. Eggers, & Sandip Sukhtankar. (2004). Does happiness pay?An exploration based on panel data from Russia. Journal of Economic Behavior & Organization. 55(3). 319–342. 133 indexed citations

20.

Graham, Carol & Sandip Sukhtankar. (2003). Economic Crisis, Markets, and Democracy in Latin America: Some Evidence from the Economics of Happiness. The Brookings Review. 21(2). 36–36. 2 indexed citations

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.

Explore authors with similar magnitude of impact