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.
Identification of Endogenous Social Effects: The Reflection Problem
Countries citing papers authored by Charles F. Manski
Since
Specialization
Citations
This map shows the geographic impact of Charles F. Manski'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 Charles F. Manski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles F. Manski more than expected).
Fields of papers citing papers by Charles F. Manski
This network shows the impact of papers produced by Charles F. Manski. 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 Charles F. Manski. The network helps show where Charles F. Manski may publish in the future.
Co-authorship network of co-authors of Charles F. Manski
This figure shows the co-authorship network connecting the top 25 collaborators of Charles F. Manski.
A scholar is included among the top collaborators of Charles F. Manski 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 Charles F. Manski. Charles F. Manski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McFadden, Daniel, Randall Wright, Charles F. Manski, & Whitney K. Newey. (2007). Economics to econometrics : contributions in honor of Daniel L. McFadden. Blackwell eBooks.1 indexed citations
10.
Dominitz, Jeff, et al.. (2003). "Will Social Security Be There For You?": How Americans Perceive Their Benefits. SSRN Electronic Journal.2 indexed citations
11.
Horowitz, Joël L. & Charles F. Manski. (2001). Imprecise identification from incomplete data.. 213–218.10 indexed citations
12.
Manski, Charles F., et al.. (2000). Worker Perceptions of Job Insecurity in the Mid-1990s.. The Journal of Human Resources. 35(3).17 indexed citations
Goldberger, Arthur S. & Charles F. Manski. (1995). The Bell Curve: Review Article. Journal of Economic Literature. 33(2). 762–776.20 indexed citations
15.
Manski, Charles F.. (1985). Academic Ability, Earnings, and the Decision to Become a Teacher: Evidence From the National Longitudinal Study of the High School Class of 1972. National Bureau of Economic Research. 291–316.67 indexed citations
16.
Ben‐Akiva, Moshe, et al.. (1981). A Behavior Approach to Modelling Household Motor Vehicle Ownership and Applications to Aggregate Policy Analysis.1 indexed citations
17.
Manski, Charles F., et al.. (1980). FORECASTING EQUILIBRIUM MOTOR VEHICLE HOLDINGS BY MEANS OF DISAGGREGATE MODELS. Transportation Research Record Journal of the Transportation Research Board. 764(764). 96–103.4 indexed citations
18.
Lerman, Steven R. & Charles F. Manski. (1976). ALTERNATIVE SAMPLING PROCEDURES FOR CALIBRATING DISAGGREGATE CHOICE MODELS.. Transportation Research Record Journal of the Transportation Research Board. 24–28.10 indexed citations
19.
Manski, Charles F., et al.. (1974). An Empirical Investigation of Factors Which Influence College-Going Behavior. NBER Chapters. 391–419.99 indexed citations
20.
Manski, Charles F., et al.. (1967). NATURE OF EQUILIBRIUM IN THE MARKET FOR TAXI SERVICES. Transportation Research Record Journal of the Transportation Research Board. 619(619). 11–15.50 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.