Eric Langford
Impact in
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
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- Probabilistic and Robust Engineering Design
Papers in
-
- Approximation Theory and Sequence Spaces 3
- Statistics Education and Methodologies 3
- Probability and Statistical Research 3
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- Advanced Banach Space Theory 5
- Mathematical and Theoretical Analysis 4
- Co-authors
- Neil C. Schwertman (1 shared paper)Ramesh C. Gupta (2 shared papers)Charalambos D. Aliprantis (4 shared papers)T. D. Parsons (1 shared paper)Colm Art O’Cinneide (1 shared paper)
- Journals
- Proceedings of the American Mathematical Society (2 papers)Journal of Applied Probability (2 papers)Biometrika (1 paper)The American Statistician (1 paper)American Mathematical Monthly (5 papers)
- Partner nations
- United States
In The Last Decade
Eric Langford
17 papers receiving 279 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 76
- Statistics, Probability and Uncertainty 24
- Theoretical Computer Science 3
- Geometry and Topology 23
- Mathematical Physics 20
Countries citing papers authored by Eric Langford
This map shows the geographic impact of Eric Langford'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 Eric Langford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Langford more than expected).
Fields of papers citing papers by Eric Langford
This network shows the impact of papers produced by Eric Langford. 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 Eric Langford. The network helps show where Eric Langford may publish in the future.
Co-authors
The 5 scholars most cited alongside Eric Langford, 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 | 2006 | 130 | |
| 2 | 2001 | 76 | |
| 3 | 1984 | 34 | |
| 4 | 1974 | 11 | |
| 5 | 1969 | 11 | |
| 6 | 1973 | 6 | |
| 7 | 1971 | 5 | |
| 8 | 1970 | 5 | |
| 9 | 1984 | 4 | |
| 10 | 1984 | 4 | |
| 11 | 1973 | 3 | |
| 12 | 1975 | 2 | |
| 13 | 1974 | 2 | |
| 14 | 1984 | 2 | |
| 15 | 1970 | 2 | |
| 16 | 1973 | 2 | |
| 17 | 1971 | 1 | |
| 18 | 1969 | 0 | |
| 19 | 1971 | 0 |
About Eric Langford
Eric Langford is a scholar working on Statistics and Probability, Mathematical Physics, Geometry and Topology, Applied Mathematics and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 300 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (5 papers), Mathematical and Theoretical Analysis (4 papers), Advanced Topology and Set Theory (4 papers), Approximation Theory and Sequence Spaces (3 papers), Statistics Education and Methodologies (3 papers), Probability and Statistical Research (3 papers), Advanced Harmonic Analysis Research (2 papers) and Reliability and Maintenance Optimization (2 papers). The work is most often cited by research in Statistics and Probability (76 citations), Statistics, Probability and Uncertainty (24 citations), Theoretical Computer Science (3 citations), Geometry and Topology (23 citations) and Mathematical Physics (20 citations). Eric Langford has collaborated with scholars based in United States. Frequent co-authors include Neil C. Schwertman, Ramesh C. Gupta, Charalambos D. Aliprantis, T. D. Parsons and Colm Art O’Cinneide. Their work appears in journals such as Proceedings of the American Mathematical Society, Journal of Applied Probability, Biometrika, The American Statistician and American Mathematical Monthly.
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.