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.
Phoneme recognition using time-delay neural networks
19891.7k citationsGeoffrey E. Hinton, Kevin Lang et al.profile →
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
This map shows the geographic impact of Kevin Lang'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 Kevin Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Lang more than expected).
This network shows the impact of papers produced by Kevin Lang. 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 Kevin Lang. The network helps show where Kevin Lang may publish in the future.
Co-authorship network of co-authors of Kevin Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Lang.
A scholar is included among the top collaborators of Kevin Lang 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 Kevin Lang. Kevin Lang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lang, Kevin, et al.. (2019). The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications. Journal of Business and Economic Statistics. 38(3). 613–620.237 indexed citations breakdown →
4.
Lang, Kevin, et al.. (2013). The Wage Effects of Not-for-Profit and For-Profit Certifications: Better Data, Somewhat Different Results. NBER Working Paper No. 19135.. National Bureau of Economic Research.1 indexed citations
5.
Lang, Kevin, et al.. (2012). Evaluating Student Outcomes at For-Profit Colleges. NBER Working Paper No. 18201.. National Bureau of Economic Research.9 indexed citations
Lang, Kevin, et al.. (2009). School Entry, Educational Attainment and Quarter of Birth: A Cautionary Tale of LATE. NBER Working Paper No. 15236.. National Bureau of Economic Research.16 indexed citations
8.
Lang, Kevin, et al.. (2009). Social Ties and the Job Search of Recent Immigrants. National Bureau of Economic Research.3 indexed citations
9.
Andersen, Reid & Kevin Lang. (2008). An algorithm for improving graph partitions. Symposium on Discrete Algorithms. 651–660.39 indexed citations
10.
Lang, Kevin. (2005). Fixing two weaknesses of the Spectral Method. Neural Information Processing Systems. 18. 715–722.52 indexed citations
11.
Lang, Kevin. (1993). Ability Bias, Discount Rate Bias and the Return to Education. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).60 indexed citations
Lang, Kevin & William T. Dickens. (1992). Labor Market Segmentation, Wage Dispersion and Unemployment. National Bureau of Economic Research.3 indexed citations
14.
Lang, Kevin. (1992). Does the Human-Capital/Educational-Sorting Debate Matter for Development Policy?. SSRN Electronic Journal.1 indexed citations
15.
Borjas, George J., Richard B. Freeman, & Kevin Lang. (1991). Undocumented Mexican-born Workers in the United States: How Many, How Permanent?. NBER Chapters. 77–100.4 indexed citations
16.
Freeman, Richard, Kevin Lang, & George J. Borjas. (1991). Undocumented Mexican Born Workers in the U.S.: How Many, How Permanent?. 55(1). 19–21.2 indexed citations
17.
Baum, Eric B. & Kevin Lang. (1990). Constructing Hidden Units using Examples and Queries. Neural Information Processing Systems. 3. 904–910.52 indexed citations
18.
Lang, Kevin & Geoffrey E. Hinton. (1989). Dimensionality Reduction and Prior Knowledge in E-Set Recognition. Neural Information Processing Systems. 2. 178–185.17 indexed citations
19.
Dickens, William T. & Kevin Lang. (1988). The Reemergence of Segmented Labor Market Theory. American Economic Review. 78(2). 129–134.105 indexed citations
20.
Hinton, Geoffrey E. & Kevin Lang. (1985). Shape recognition and illusory conjunctions. International Joint Conference on Artificial Intelligence. 239. 252–259.42 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.