A. Banerji

767 total citations
18 papers, 444 citations indexed

About

A. Banerji is a scholar working on Economics and Econometrics, Management Science and Operations Research and Safety Research. According to data from OpenAlex, A. Banerji has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 6 papers in Management Science and Operations Research and 5 papers in Safety Research. Recurrent topics in A. Banerji's work include Economic and Environmental Valuation (8 papers), Auction Theory and Applications (6 papers) and Experimental Behavioral Economics Studies (5 papers). A. Banerji is often cited by papers focused on Economic and Environmental Valuation (8 papers), Auction Theory and Applications (6 papers) and Experimental Behavioral Economics Studies (5 papers). A. Banerji collaborates with scholars based in India, United States and United Kingdom. A. Banerji's co-authors include J.V. Meenakshi, Ekin Birol, Bhaskar Dutta, Keith Tomlins, Victor M. Manyong, Neha Gupta, Paul Ilona, Adewale Oparinde, Hugo De Groote and Shyamal Chowdhury and has published in prestigious journals such as Journal of Development Economics, American Journal of Agricultural Economics and Journal of Health Economics.

In The Last Decade

A. Banerji

18 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Banerji India	11	211	104	84	74	56	18	444
Getu Hailu Canada	12	204 1.0×	70 0.7×	41 0.5×	58 0.8×	45 0.8×	36	515
Jens‐Peter Loy Germany	15	371 1.8×	53 0.5×	54 0.6×	129 1.7×	61 1.1×	73	633
Joseph Valdes Balagtas United States	11	243 1.2×	65 0.6×	66 0.8×	60 0.8×	52 0.9×	27	477
Xianhui Geng China	11	164 0.8×	62 0.6×	38 0.5×	91 1.2×	49 0.9×	31	435
Yu Yvette Zhang United States	11	181 0.9×	51 0.5×	27 0.3×	48 0.6×	42 0.8×	49	412
Diansheng Dong United States	15	387 1.8×	131 1.3×	19 0.2×	194 2.6×	23 0.4×	56	664
Anita Regmi United States	11	243 1.2×	68 0.7×	7 0.1×	69 0.9×	50 0.9×	29	517
Carlos Arnade United States	15	382 1.8×	66 0.6×	116 1.4×	58 0.8×	48 0.9×	59	640
Alexander E. Saak United States	8	94 0.4×	37 0.4×	31 0.4×	40 0.5×	61 1.1×	24	319
Christos Karelakis Greece	11	89 0.4×	74 0.7×	14 0.2×	22 0.3×	110 2.0×	41	476

Countries citing papers authored by A. Banerji

Since Specialization

Citations

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

Fields of papers citing papers by A. Banerji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Banerji

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

All Works

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18 of 18 papers shown

Banerji, A., et al.. (2020). Reverse Endowment Effect for a New Product. American Journal of Agricultural Economics. 102(3). 786–805. 1 indexed citations

Banerji, A., et al.. (2017). Eliciting Willingness‐to‐Pay through Multiple Experimental Procedures: Evidence from Lab‐in‐the‐Field in Rural Ghana. Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie. 66(2). 231–254. 14 indexed citations

Banerji, A., et al.. (2016). Information, branding, certification, and consumer willingness to pay for high-iron pearl millet: Evidence from experimental auctions in Maharashtra, India. Food Policy. 62. 133–141. 36 indexed citations

Oparinde, Adewale, A. Banerji, Ekin Birol, & Paul Ilona. (2016). Information and consumer willingness to pay for biofortified yellow cassava: evidence from experimental auctions in Nigeria. Agricultural Economics. 47(2). 215–233. 53 indexed citations

Oparinde, Adewale, et al.. (2016). Identifying hypothetical bias in experimental auctions in field settings in developing countries. AgEcon Search (University of Minnesota, USA). 1 indexed citations

Banerji, A., et al.. (2015). Information, Branding, Certification, and Consumer Willingness to Pay for High-Iron PearlMillet: Evidence from Experimental Auctions in Maharashtra, India. HarvestPlus Working Paper 17. 3 indexed citations

Oparinde, Adewale, A. Banerji, Ekin Birol, & Paul Ilona. (2014). Information and Consumer Willingness to Pay for Biofortified Yellow Cassava: Evidence from Experimental Auctions in Nigeria. HarvestPlus Working Paper 13. 7 indexed citations

Banerji, A. & Neha Gupta. (2014). Detection, Identification, and Estimation of Loss Aversion: Evidence from an Auction Experiment. American Economic Journal Microeconomics. 6(1). 91–133. 38 indexed citations

Banerji, A., et al.. (2013). Using elicitation mechanisms to estimate the demand for nutritious maize: evidence from experiments in rural Ghana (HarvestPlus Working Paper No. 10). Greenwich Academic Literature Archive (University of Greenwich). 5 indexed citations

10.

Meenakshi, J.V., et al.. (2012). Using a discrete choice experiment to elicit the demand for a nutritious food: Willingness-to-pay for orange maize in rural Zambia. Journal of Health Economics. 31(1). 62–71. 112 indexed citations

11.

Meenakshi, J.V., A. Banerji, Aditi Mukherji, & Anubhab Gupta. (2012). Does marginal cost pricing of electricity affect groundwater pumping behavior of farmers. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations

12.

Banerji, A., et al.. (2011). Social contracts, markets and efficiency: Groundwater irrigation in North India. Journal of Development Economics. 98(2). 228–237. 26 indexed citations

13.

Meenakshi, J.V., et al.. (2010). Consumer acceptance of provitamin A orange maize in rural Zambia (HarvestPlus Working Paper No.4). Greenwich Academic Literature Archive (University of Greenwich). 12 indexed citations

14.

Banerji, A. & Bhaskar Dutta. (2009). Local network externalities and market segmentation. International Journal of Industrial Organization. 27(5). 605–614. 49 indexed citations

15.

Banerji, A. & J.V. Meenakshi. (2008). Millers, Commission Agents and Collusion in Grain Markets: Evidence from Basmati Auctions in North India. The B E Journal of Economic Analysis & Policy. 8(1). 8 indexed citations

16.

Meenakshi, J.V. & A. Banerji. (2004). The unsupportable support price: an analysis of collusion and government intervention in paddy auction markets in North India. Journal of Development Economics. 76(2). 377–403. 17 indexed citations

17.

Banerji, A. & J.V. Meenakshi. (2004). Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis. American Journal of Agricultural Economics. 86(1). 236–253. 47 indexed citations

18.

Banerji, A.. (2002). Sequencing strategically: wage negotiations under oligopoly. International Journal of Industrial Organization. 20(7). 1037–1058. 14 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.

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