Kevin Lang
- Statistical and Nonlinear Physics top 0.2%
- Signal Processing top 0.5%
- Artificial Intelligence top 0.2%
- Neural Networks and Applications 7
- Algorithms and Data Compression 6
- Economics and Econometrics top 0.2%
- Labor market dynamics and wage inequality 36
- Economic theories and models 8
- Gender Studies top 0.5%
- Gender, Labor, and Family Dynamics 11
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- School Choice and Performance 9
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- Retirement, Disability, and Employment 8
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- Labor Movements and Unions 6
- Co-authors
- Jure LeskovecMichael W. MahoneyGeoffrey E. HintonStephen G. DonaldAnirban DasguptaKiyohiro ShikanoToshiyuki HanazawaAlexander Waibel
- Journals
- The Review of Economics and Statistics (6 papers)Journal of Labor Economics (5 papers)The Economic Journal (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kevin Lang
130 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Statistical and Nonlinear Physics 2.2k
- Signal Processing 1.3k
- Artificial Intelligence 3.4k
- Economics and Econometrics 2.6k
- Gender Studies 694
Countries citing papers authored by Kevin Lang
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).
Fields of papers citing papers by Kevin Lang
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
The 25 scholars most cited alongside Kevin Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 2 | |
| 3 | The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applicationsbreakdown → | 2019 | 237 |
| 4 | The Wage Effects of Not-for-Profit and For-Profit Certifications: Better Data, Somewhat Different Results. NBER Working Paper No. 19135. | 2013 | 1 |
| 5 | Evaluating Student Outcomes at For-Profit Colleges. NBER Working Paper No. 18201. | 2012 | 9 |
| 6 | 2009 | 37 | |
| 7 | School Entry, Educational Attainment and Quarter of Birth: A Cautionary Tale of LATE. NBER Working Paper No. 15236. | 2009 | 16 |
| 8 | Social Ties and the Job Search of Recent Immigrants | 2009 | 3 |
| 9 | An algorithm for improving graph partitions | 2008 | 39 |
| 10 | Fixing two weaknesses of the Spectral Method | 2005 | 52 |
| 11 | Ability Bias, Discount Rate Bias and the Return to Education | 1993 | 60 |
| 12 | 1993 | 27 | |
| 13 | Labor Market Segmentation, Wage Dispersion and Unemployment | 1992 | 3 |
| 14 | Does the Human-Capital/Educational-Sorting Debate Matter for Development Policy? | 1992 | 1 |
| 15 | Undocumented Mexican-born Workers in the United States: How Many, How Permanent? | 1991 | 4 |
| 16 | Undocumented Mexican Born Workers in the U.S.: How Many, How Permanent? | 1991 | 2 |
| 17 | Constructing Hidden Units using Examples and Queries | 1990 | 52 |
| 18 | Dimensionality Reduction and Prior Knowledge in E-Set Recognition | 1989 | 17 |
| 19 | The Reemergence of Segmented Labor Market Theory | 1988 | 105 |
| 20 | 1985 | 42 |
About Kevin Lang
Kevin Lang is a scholar working on Economics and Econometrics, Public Administration, Gender Studies, Demography and Safety Research, having authored 132 papers that have together received 11.2k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (36 papers), Gender, Labor, and Family Dynamics (11 papers), School Choice and Performance (9 papers), Retirement, Disability, and Employment (8 papers), Economic theories and models (8 papers), Neural Networks and Applications (7 papers), Labor Movements and Unions (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.2k citations), Signal Processing (1.3k citations), Artificial Intelligence (3.4k citations), Economics and Econometrics (2.6k citations) and Gender Studies (694 citations). Kevin Lang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jure Leskovec, Michael W. Mahoney, Geoffrey E. Hinton, Stephen G. Donald, Anirban Dasgupta, Kiyohiro Shikano, Toshiyuki Hanazawa, Alexander Waibel, Reid Andersen and Joshua D. Angrist. Their work appears in journals such as The Review of Economics and Statistics, Journal of Labor Economics, The Economic Journal, American Economic Review and The Journal of Human Resources.
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.