Jeff Goldsmith
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 8
- Computational Mathematics top 5%
- Nephrology top 2%
- Rehabilitation top 2%
-
- Air Quality and Health Impacts 15
- Climate Change and Health Impacts 7
-
- Physical Activity and Health 12
-
- Advanced Neuroimaging Techniques and Applications 10
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 9
-
- Obesity, Physical Activity, Diet 8
- Co-authors
- Ciprian M. CrainiceanuDaniel S. ReichMathew S. MaurerJennifer A. SchrackMarianthi‐Anna KioumourtzoglouJohn W. KrakauerJulissa AlvarezBrian Caffo
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jeff Goldsmith
125 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Statistics and Probability 602
- Computational Mathematics 26
- Nephrology 296
- Rehabilitation 259
- Health, Toxicology and Mutagenesis 460
Countries citing papers authored by Jeff Goldsmith
This map shows the geographic impact of Jeff Goldsmith'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 Jeff Goldsmith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Goldsmith more than expected).
Fields of papers citing papers by Jeff Goldsmith
This network shows the impact of papers produced by Jeff Goldsmith. 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 Jeff Goldsmith. The network helps show where Jeff Goldsmith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Goldsmith, 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 | 2025 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 27 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 14 | |
| 11 | Epidural stimulation of the cervical spinal cord for post-stroke upper-limb paresisbreakdown → | 2023 | 85 |
| 12 | 2023 | 1 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 18 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 15 | |
| 18 | 2017 | 79 | |
| 19 | 2011 | 29 | |
| 20 | 2003 | 13 |
About Jeff Goldsmith
Jeff Goldsmith is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis, Rehabilitation, Nephrology and Transportation, having authored 134 papers that have together received 3.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Statistical Methods and Inference (15 papers), Physical Activity and Health (12 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Obesity, Physical Activity, Diet (8 papers), Statistical Methods and Bayesian Inference (8 papers) and Climate Change and Health Impacts (7 papers). The work is most often cited by research in Statistics and Probability (602 citations), Computational Mathematics (26 citations), Nephrology (296 citations), Rehabilitation (259 citations) and Health, Toxicology and Mutagenesis (460 citations). Jeff Goldsmith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ciprian M. Crainiceanu, Daniel S. Reich, Mathew S. Maurer, Jennifer A. Schrack, Marianthi‐Anna Kioumourtzoglou, John W. Krakauer, Julissa Alvarez, Brian Caffo, R. Todd Ogden and Tomoko Kitago. Their work appears in journals such as Environmental Research, Epilepsia, Biometrics, Environmental Epidemiology and Journal of the American Statistical Association.
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.