Conner Mullally

507 total citations
34 papers, 334 citations indexed

About

Conner Mullally is a scholar working on Economics and Econometrics, Soil Science and General Agricultural and Biological Sciences. According to data from OpenAlex, Conner Mullally has authored 34 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 9 papers in Soil Science and 6 papers in General Agricultural and Biological Sciences. Recurrent topics in Conner Mullally's work include Agricultural risk and resilience (9 papers), Economic and Environmental Valuation (7 papers) and Economics of Agriculture and Food Markets (6 papers). Conner Mullally is often cited by papers focused on Agricultural risk and resilience (9 papers), Economic and Environmental Valuation (7 papers) and Economics of Agriculture and Food Markets (6 papers). Conner Mullally collaborates with scholars based in United States, Italy and Singapore. Conner Mullally's co-authors include Jayson L. Lusk, M. Niaz Asadullah, Marilyn E. Swisher, Francis E. Putz, Ana Carolina Oliveira Fiorini, Sarah Janzen, Stephen A. Vosti, Julian M. Alston, Daniel A. Sumner and Daniel E. Osgood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Economics and World Development.

In The Last Decade

Conner Mullally

30 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conner Mullally United States 11 129 102 52 48 43 34 334
Mesfin Tilahun Norway 10 69 0.5× 81 0.8× 73 1.4× 77 1.6× 94 2.2× 25 361
Elizabeth Bageant United States 7 76 0.6× 54 0.5× 48 0.9× 56 1.2× 36 0.8× 15 306
Bethelhem Legesse Debela Germany 8 47 0.4× 64 0.6× 41 0.8× 74 1.5× 52 1.2× 12 273
Linden McBride United States 9 88 0.7× 109 1.1× 64 1.2× 102 2.1× 34 0.8× 14 386
Saweda Liverpool‐Tasie United States 8 106 0.8× 57 0.6× 24 0.5× 107 2.2× 37 0.9× 14 365
Shinoj Parappurathu India 11 90 0.7× 69 0.7× 36 0.7× 98 2.0× 25 0.6× 29 352
Adebayo B. Aromolaran Nigeria 11 130 1.0× 89 0.9× 17 0.3× 94 2.0× 79 1.8× 31 383
Ben Senauer United States 10 149 1.2× 71 0.7× 27 0.5× 118 2.5× 73 1.7× 18 426
I. A. Ayinde Nigeria 12 76 0.6× 57 0.6× 28 0.5× 106 2.2× 83 1.9× 48 462
Benjamin Schwab United States 10 68 0.5× 42 0.4× 55 1.1× 42 0.9× 40 0.9× 22 294

Countries citing papers authored by Conner Mullally

Since Specialization
Citations

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

Fields of papers citing papers by Conner Mullally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conner Mullally

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

All Works

20 of 20 papers shown
1.
Asche, Frank, et al.. (2025). Matching property rights and transboundary ecological processes: The case of Norwegian salmon aquaculture. American Journal of Agricultural Economics. 2 indexed citations
2.
Mullally, Conner, et al.. (2024). The Varying Effects of Dollar Stores on Food Access: A Machine Learning Analysis. SSRN Electronic Journal. 1 indexed citations
3.
Janzen, Sarah, et al.. (2024). Going the distance: Hybrid vocational training for women in Nepal. Journal of Development Economics. 174. 103414–103414. 1 indexed citations
4.
5.
Mullally, Conner, et al.. (2024). Assessing the Conventional Wisdom on Dollar Store Locations Through Machine Learning. SSRN Electronic Journal.
6.
Janzen, Sarah, et al.. (2023). A review of livestock development interventions’ impacts on household welfare in low- and middle-income countries. Global Food Security. 38. 100704–100704. 16 indexed citations
7.
Magnan, Nicholas, et al.. (2022). Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory. Journal of Economic Behavior & Organization. 202. 82–104. 10 indexed citations
8.
Mullally, Conner, et al.. (2021). Using Machine Learning to Estimate the Heterogeneous Effects of Livestock Transfers. American Journal of Agricultural Economics. 103(3). 1058–1081. 3 indexed citations
9.
Magnan, Nicholas, et al.. (2021). Demand for Weather Index Insurance Among Smallholder Farmers Under Prospect Theory ∗. SSRN Electronic Journal. 2 indexed citations
10.
Mullally, Conner, et al.. (2019). Alternatives to calorie-based indicators of food security: An application of machine learning methods. Food Policy. 84. 77–91. 35 indexed citations
11.
Fiorini, Ana Carolina Oliveira, Conner Mullally, Marilyn E. Swisher, & Francis E. Putz. (2019). Forest cover effects of payments for ecosystem services: Evidence from an impact evaluation in Brazil. Ecological Economics. 169. 106522–106522. 41 indexed citations
12.
Mullally, Conner, et al.. (2018). Are matching funds for smallholder irrigation money well spent?. Food Policy. 76. 70–80. 14 indexed citations
13.
Mullally, Conner & Jayson L. Lusk. (2017). The Impact of Farm Animal Housing Restrictions on Egg Prices, Consumer Welfare, and Production in California. American Journal of Agricultural Economics. 100(3). 649–669. 47 indexed citations
14.
Mullally, Conner & Jayson L. Lusk. (2017). The Impact of Farm Animal Housing Restrictions on Egg Prices, Consumer Welfare, and Production in California. SocArXiv (OSF Preprints). 1 indexed citations
15.
Bi, Xiang, et al.. (2017). Under what conditions does it pay to be sustainable? Sources of heterogeneity in corporate sustainability impacts. Economics Letters. 159. 15–17. 12 indexed citations
16.
Mullally, Conner & Alessandro Maffioli. (2015). Extension and Matching Grants for Improved Management: An Evaluation of the Uruguayan Livestock Program. American Journal of Agricultural Economics. 98(1). 333–350. 7 indexed citations
17.
Osgood, Daniel E., et al.. (2014). Evidence of Demand for Index Insurance: Experimental Games and Commercial Transactions in Ethiopia. The Journal of Development Studies. 50(5). 630–648. 50 indexed citations
18.
Mullally, Conner, Steve Boucher, & Michael Carter. (2013). Encouraging Development: Randomized Encouragement Designs in Agriculture. American Journal of Agricultural Economics. 95(5). 1352–1358. 5 indexed citations
19.
Alston, Julian M., Conner Mullally, Daniel A. Sumner, Marilyn S. Townsend, & Stephen A. Vosti. (2008). Likely effects on obesity from proposed changes to the US food stamp program. Food Policy. 34(2). 176–184. 30 indexed citations
20.
Alston, Julian M., Conner Mullally, Daniel A. Sumner, & Stephen A. Vosti. (2007). Effects of Potential Modifications to the U.S. Food Stamp Program so as to Allow Only Healthy Food to be Purchased with Food Stamps. SSRN Electronic Journal. 1 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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