Benjamin J. Tepping
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Survey Sampling and Estimation Techniques
- Census and Population Estimation
- Advanced Statistical Methods and Models
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Survey Sampling and Estimation Techniques 3
- Statistical Methods and Bayesian Inference 2
-
- Survey Methodology and Nonresponse 4
- Co-authors
- Morris H. Hansen (6 shared papers)William G. Madow (3 shared papers)Taro Yamane (1 shared paper)María E. González (1 shared paper)Gary Shapiro (2 shared papers)Joseph Waksberg (1 shared paper)
- Journals
- Journal of the American Statistical Association (13 papers)The American Statistician (2 papers)
- Partner nations
- United States
In The Last Decade
Benjamin J. Tepping
15 papers receiving 503 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 204
- Environmental Engineering 91
- Management Science and Operations Research 78
- Forestry 22
- Nature and Landscape Conservation 56
Countries citing papers authored by Benjamin J. Tepping
This map shows the geographic impact of Benjamin J. Tepping'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 Benjamin J. Tepping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Tepping more than expected).
Fields of papers citing papers by Benjamin J. Tepping
This network shows the impact of papers produced by Benjamin J. Tepping. 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 Benjamin J. Tepping. The network helps show where Benjamin J. Tepping may publish in the future.
Co-authors
The 6 scholars most cited alongside Benjamin J. Tepping, 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 | 1983 | 218 | |
| 2 | 1968 | 165 | |
| 3 | 1983 | 63 | |
| 4 | 1968 | 45 | |
| 5 | 1983 | 38 | |
| 6 | 1968 | 16 | |
| 7 | 1975 | 10 | |
| 8 | 1990 | 6 | |
| 9 | 1969 | 3 | |
| 10 | 1990 | 3 | |
| 11 | 1968 | 3 | |
| 12 | 1990 | 3 | |
| 13 | 1991 | 2 | |
| 14 | 1952 | 2 | |
| 15 | 1975 | 1 |
About Benjamin J. Tepping
Benjamin J. Tepping is a scholar working on Statistics and Probability, Sociology and Political Science, Artificial Intelligence, Computer Networks and Communications and General Health Professions, having authored 15 papers that have together received 578 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (4 papers), Survey Sampling and Estimation Techniques (3 papers), Healthcare Policy and Management (2 papers), Primary Care and Health Outcomes (2 papers), Statistical Methods and Bayesian Inference (2 papers), Gender, Labor, and Family Dynamics (2 papers), Data Quality and Management (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Statistics and Probability (204 citations), Environmental Engineering (91 citations), Management Science and Operations Research (78 citations), Forestry (22 citations) and Nature and Landscape Conservation (56 citations). Benjamin J. Tepping has collaborated with scholars based in United States. Frequent co-authors include Morris H. Hansen, William G. Madow, Taro Yamane, María E. González, Gary Shapiro and Joseph Waksberg. Their work appears in journals such as Journal of the American Statistical Association and The American Statistician.
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.