Kevin Lang
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Signal Processing top 0.5%
- Speech and Audio Processing
Papers in
-
- Labor market dynamics and wage inequality 36
- Economic theories and models 8
-
- Neural Networks and Applications 7
- Algorithms and Data Compression 6
- Co-authors
- Michael W. Mahoney (3 shared papers)Jure Leskovec (3 shared papers)Geoffrey E. Hinton (5 shared papers)Stephen G. Donald (1 shared paper)Anirban Dasgupta (2 shared papers)Toshiyuki Hanazawa (4 shared papers)Kiyohiro Shikano (4 shared papers)Alexander Waibel (2 shared papers)
- Journals
- The Review of Economics and Statistics (6 papers)Journal of Labor Economics (5 papers)The Economic Journal (4 papers)American Economic Review (4 papers)The Journal of Human Resources (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kevin Lang
130 papers receiving 10.3k citations
Kevin Lang's Hit Papers
Peers
Comparison fields: 5 of 190
- Statistical and Nonlinear Physics 2.2k
- Signal Processing 1.3k
- Artificial Intelligence 3.4k
- Economics and Econometrics 2.6k
- Gender Studies 690
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-authors
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
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phoneme recognition using time-delay neural networks Hit paper breakdown → | 1989 | 1727 |
| 2 | Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters Hit paper breakdown → | 2009 | 1162 |
| 3 | Inference with Difference-in-Differences and Other Panel Data Hit paper breakdown → | 2007 | 927 |
| 4 | Empirical comparison of algorithms for network community detection Hit paper breakdown → | 2010 | 605 |
| 5 | Local Graph Partitioning using PageRank Vectors Hit paper breakdown → | 2006 | 536 |
| 6 | Statistical properties of community structure in large social and information networks Hit paper breakdown → | 2008 | 519 |
| 7 | Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program Hit paper breakdown → | 2004 | 416 |
| 8 | A time-delay neural network architecture for isolated word recognition Hit paper breakdown → | 1990 | 367 |
| 9 | 1988 | 301 | |
| 10 | 1986 | 258 | |
| 11 | The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications Hit paper breakdown → | 2019 | 244 |
| 12 | 2012 | 213 | |
| 13 | 1992 | 200 | |
| 14 | 1988 | 194 | |
| 15 | 2018 | 170 | |
| 16 | 1998 | 169 | |
| 17 | 1986 | 134 | |
| 18 | 2011 | 130 | |
| 19 | 2006 | 126 | |
| 20 | 2001 | 122 |
About Kevin Lang
Kevin Lang is a scholar working on Economics and Econometrics, Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications and Gender Studies, having authored 132 papers that have together received 11.3k 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), Economic theories and models (8 papers), Retirement, Disability, and Employment (8 papers), Neural Networks and Applications (7 papers), Algorithms and Data Compression (6 papers) and Names, Identity, and Discrimination Research (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 (690 citations). Kevin Lang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael W. Mahoney, Jure Leskovec, Geoffrey E. Hinton, Stephen G. Donald, Anirban Dasgupta, Toshiyuki Hanazawa, Kiyohiro Shikano, 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.