David McAdams

1.9k total citations · 1 hit paper
55 papers, 1.2k citations indexed

About

David McAdams is a scholar working on Management Science and Operations Research, Economics and Econometrics and Marketing. According to data from OpenAlex, David McAdams has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 22 papers in Economics and Econometrics and 18 papers in Marketing. Recurrent topics in David McAdams's work include Auction Theory and Applications (30 papers), Consumer Market Behavior and Pricing (18 papers) and Experimental Behavioral Economics Studies (15 papers). David McAdams is often cited by papers focused on Auction Theory and Applications (30 papers), Consumer Market Behavior and Pricing (18 papers) and Experimental Behavioral Economics Studies (15 papers). David McAdams collaborates with scholars based in United States, Canada and Norway. David McAdams's co-authors include Alı Hortaçsu, Ramanan Laxminarayan, Kevin Outterson, Christine Årdal, Nithima Sumpradit, Manica Balasegaram, John Rex, Michael Schwarz, Yingyao Hu and Matthew Shum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Economic Review and Econometrica.

In The Last Decade

David McAdams

54 papers receiving 1.1k citations

Hit Papers

Antibiotic development — economic, regulatory and societa... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. Antibiotic development — economic, regulatory and societal challenges
    2019 299 citations Christine Årdal, Manica Balasegaram et al. Nature Reviews Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David McAdams United States 17 555 388 346 123 119 55 1.2k
Ajay Agrawal India 20 142 0.3× 277 0.7× 49 0.1× 78 0.6× 209 1.8× 43 1.4k
Josep Bisbe Spain 17 189 0.3× 108 0.3× 211 0.6× 32 0.3× 32 0.3× 36 2.2k
Mark A. Olson United States 24 311 0.6× 87 0.2× 186 0.5× 110 0.9× 685 5.8× 66 1.7k
Aidan Hollis Canada 23 31 0.1× 785 2.0× 42 0.1× 19 0.2× 118 1.0× 92 1.8k
Richard Wilson United Kingdom 29 54 0.1× 81 0.2× 70 0.2× 13 0.1× 233 2.0× 106 2.2k
Enrico Baraldi Sweden 23 137 0.2× 213 0.5× 280 0.8× 3 0.0× 42 0.4× 87 1.7k
John Hogan United Kingdom 25 147 0.3× 76 0.2× 666 1.9× 7 0.1× 139 1.2× 48 3.2k
Michael Cohen United States 17 86 0.2× 70 0.2× 30 0.1× 5 0.0× 133 1.1× 45 789
Anup Malani United States 24 32 0.1× 787 2.0× 48 0.1× 46 0.4× 28 0.2× 96 1.7k

Countries citing papers authored by David McAdams

Since Specialization
Citations

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

Fields of papers citing papers by David McAdams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David McAdams

This figure shows the co-authorship network connecting the top 25 collaborators of David McAdams. A scholar is included among the top collaborators of David McAdams 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 David McAdams. David McAdams 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.
2.
Avery, Christopher, Frederick Chen, & David McAdams. (2024). Steady-State Social Distancing and Vaccination. RePEc: Research Papers in Economics. 6(1). 1–19. 6 indexed citations
3.
Day, Troy, David Kennedy, Andrew F. Read, & David McAdams. (2021). The economics of managing evolution. PLoS Biology. 19(11). e3001409–e3001409. 5 indexed citations
4.
McAdams, David. (2021). The Blossoming of Economic Epidemiology. Annual Review of Economics. 13(1). 539–570. 27 indexed citations
5.
McAdams, David, et al.. (2020). Incentivising wealthy nations to participate in the COVID-19 Vaccine Global Access Facility (COVAX): a game theory perspective. BMJ Global Health. 5(11). e003627–e003627. 54 indexed citations
6.
Årdal, Christine, Manica Balasegaram, Ramanan Laxminarayan, et al.. (2019). Antibiotic development — economic, regulatory and societal challenges. Nature Reviews Microbiology. 18(5). 267–274. 299 indexed citations breakdown →
7.
Dixit, Avinash, David McAdams, & Susan Skeath. (2019). 'We Haven’t Got But One More Day': The Cuban Missile Crisis as a Dynamic Chicken Game. SSRN Electronic Journal. 1 indexed citations
8.
McAdams, David, et al.. (2019). Resistance diagnostics as a public health tool to combat antibiotic resistance: A model-based evaluation. PLoS Biology. 17(5). e3000250–e3000250. 32 indexed citations
9.
10.
McAdams, David. (2017). Resistance diagnosis and the changing economics of antibiotic discovery. Annals of the New York Academy of Sciences. 1388(1). 18–25. 3 indexed citations
11.
Hu, Yueli, et al.. (2010). Nonparametric Identification of First-Price Auctions with Non-Separable Unobserved Heterogeneity ∗. 1 indexed citations
12.
McAdams, David. (2010). Performance and Turnover in a Stochastic Partnership. SSRN Electronic Journal. 10 indexed citations
13.
McAdams, David. (2008). Uniqueness in Symmetric First-Price Auctions with Affiliation. SSRN Electronic Journal. 2 indexed citations
14.
Chapman, James, David McAdams, & Harry J. Paarsch. (2007). Bounding Revenue Comparisons across Multi-Unit Auction Formats under ε-Best Response. American Economic Review. 97(2). 455–458. 12 indexed citations
15.
McAdams, David & Michael Schwarz. (2007). Credible Sales Mechanisms and Intermediaries. American Economic Review. 97(1). 260–276. 30 indexed citations
16.
McAdams, David & Michael Schwarz. (2006). Perverse Incentives in the Medicare Prescription Drug Benefit. INQUIRY The Journal of Health Care Organization Provision and Financing. 44(2). 157–166.
17.
McAdams, David. (2005). Adjustable Supply in Uniform-Price Auctions: The Value of Non-Commitment. SSRN Electronic Journal. 3 indexed citations
18.
McAdams, David. (2004). Uniqueness in First-Price Auctions with Aliation. 2 indexed citations
19.
McAdams, David. (2002). All Mixed Strategy Equilibria are Monotone Pure Strategy Equilibria in Asymmetric First-Price Auctions. SSRN Electronic Journal. 5 indexed citations
20.
McAdams, David, et al.. (1999). Speeding up ascending-bid auctions. International Joint Conference on Artificial Intelligence. 554–563. 27 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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