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.
Countries citing papers authored by Daniel McFadden
Since
Specialization
Citations
This map shows the geographic impact of Daniel McFadden'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 Daniel McFadden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel McFadden more than expected).
This network shows the impact of papers produced by Daniel McFadden. 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 Daniel McFadden. The network helps show where Daniel McFadden may publish in the future.
Co-authorship network of co-authors of Daniel McFadden
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel McFadden.
A scholar is included among the top collaborators of Daniel McFadden 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 Daniel McFadden. Daniel McFadden is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McFadden, Daniel. (2019). Hot money and cold comfort. Global capital movement and financial crises in emerging economies. 137(1). 9–28.1 indexed citations
McFadden, Daniel. (2008). A First Amendment Analysis of Military Regulations Restricting the Wearing of Military Uniforms by Members of the Individual Ready Reserve Who Participate in Politically Themed Theatrical Productions. Boston College law review. 49(4). 1131.1 indexed citations
McFadden, Daniel. (1994). Demographics, the Housing Market, and the Welfare of the Elderly. NBER Chapters. 225–288.19 indexed citations
10.
Hoynes, Hilary & Daniel McFadden. (1994). The Impact of Demographics on Housing and Non-Housing Wealth in the United States. National Bureau of Economic Research. 153–194.36 indexed citations
11.
Chipman, John S., Daniel McFadden, & Marcel K. Richter. (1990). Preferences, uncertainty, and optimality : essays in honor of Leonid Hurwicz.16 indexed citations
12.
Goett, Andrew A. & Daniel McFadden. (1982). Residential End-use Energy Planning System (REEPS). STIN. 83. 13619.16 indexed citations
13.
McFadden, Daniel. (1981). An evaluation of the ORNL residential energy use model. DSpace@MIT (Massachusetts Institute of Technology).5 indexed citations
McFadden, Daniel. (1978). Estimation Techniques for the Elasticity of Substitution and Other Production Parameters. RePEc: Research Papers in Economics. 2.11 indexed citations
18.
McFadden, Daniel, Kenneth Train, & William B. Tye. (1977). AN APPLICATION OF DIAGNOSTIC TESTS FOR THE INDEPENDENCE FROM IRRELEVANT ALTERNATIVES PROPERTY OF THE MULTINOMIAL LOGIT MODEL. Transportation Research Record Journal of the Transportation Research Board.168 indexed citations
McFadden, Daniel, et al.. (1975). AGGREGATE TRAVEL DEMAND FORECASTING FROM DISAGGREGATED BEHAVIORAL MODELS. Transportation Research Record Journal of the Transportation Research Board. 534(534). 24–37.68 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.