Howard D. Bondell
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Management, Monitoring, Policy and Law top 1%
- Sociology and Political Science top 5%
- Economics and Econometrics top 5%
- Co-authors
- Brian J. ReichAiyi LiuEnrique F. SchistermanNeil J. PerkinsM. Nils PetersonKathryn T. StevensonHuixia WangSusan E. Moore
- Topics
- Statistical Methods and Inference (36 papers)Statistical Methods and Bayesian Inference (15 papers)Advanced Statistical Methods and Models (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Howard D. Bondell
76 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Statistics and Probability 894
- Artificial Intelligence 492
- Management, Monitoring, Policy and Law 457
- Sociology and Political Science 368
- Economics and Econometrics 253
Countries citing papers authored by Howard D. Bondell
This map shows the geographic impact of Howard D. Bondell'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 Howard D. Bondell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard D. Bondell more than expected).
Fields of papers citing papers by Howard D. Bondell
This network shows the impact of papers produced by Howard D. Bondell. 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 Howard D. Bondell. The network helps show where Howard D. Bondell may publish in the future.
Co-authorship network of co-authors of Howard D. Bondell
This figure shows the co-authorship network connecting the top 25 collaborators of Howard D. Bondell. A scholar is included among the top collaborators of Howard D. Bondell 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 Howard D. Bondell. Howard D. Bondell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | Outlier Detection and Robust Estimation in Nonparametric Regression | 2 |
| 8 | 120 | |
| 9 | 26 | |
| 10 | Prediction indicators for voluntary carbon-offset purchases among trail runners. | 3 |
| 11 | 39 | |
| 12 | 60 | |
| 13 | 200 | |
| 14 | 165 | |
| 15 | 25 | |
| 16 | 55 | |
| 17 | 98 | |
| 18 | 15 | |
| 19 | 288 | |
| 20 | Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samplesbreakdown → | 945 |
About Howard D. Bondell
Howard D. Bondell is a scholar working on Statistics and Probability, Management, Monitoring, Policy and Law and Statistics, Probability and Uncertainty, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (14 papers). The work is most often cited by research in Statistics and Probability (894 citations), Management, Monitoring, Policy and Law (457 citations) and Equine (50 citations). Howard D. Bondell has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Brian J. Reich, Aiyi Liu, Enrique F. Schisterman, Neil J. Perkins, M. Nils Peterson, Kathryn T. Stevenson, Huixia Wang, Susan E. Moore, Sujit K. Ghosh and Sarah Carrier. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.