Tyler Jon Smith
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Groundwater flow and contamination studies
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
Papers in
-
- Hydrology and Watershed Management Studies 16
-
- Flood Risk Assessment and Management 2
- Climate variability and models 1
- Co-authors
- Lucy Amanda Marshall (11 shared papers)Ashish Sharma (4 shared papers)Scott A. Sisson (1 shared paper)Rajeshwar Mehrotra (1 shared paper)B. L. McGlynn (4 shared papers)Kelsey Jencso (2 shared papers)Timothy Hodson (1 shared paper)Thomas M. Over (1 shared paper)
- Journals
- Water Resources Research (6 papers)Journal of Hydrology (2 papers)Journal of Hydrologic Engineering (2 papers)Hydrological Sciences Journal (1 paper)Advances in Water Resources (1 paper)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Tyler Jon Smith
17 papers receiving 457 citations
Peers
Comparison fields: 5 of 32
- Water Science and Technology 328
- Environmental Engineering 95
- Statistics, Probability and Uncertainty 20
- Global and Planetary Change 41
- Statistics and Probability 23
Countries citing papers authored by Tyler Jon Smith
This map shows the geographic impact of Tyler Jon Smith'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 Tyler Jon Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Jon Smith more than expected).
Fields of papers citing papers by Tyler Jon Smith
This network shows the impact of papers produced by Tyler Jon Smith. 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 Tyler Jon Smith. The network helps show where Tyler Jon Smith may publish in the future.
Co-authors
The 8 scholars most cited alongside Tyler Jon Smith, 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 | 2008 | 97 | |
| 2 | 2015 | 93 | |
| 3 | 2010 | 88 | |
| 4 | 2010 | 34 | |
| 5 | 2013 | 30 | |
| 6 | 2014 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2016 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2013 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 |
About Tyler Jon Smith
Tyler Jon Smith is a scholar working on Water Science and Technology, Global and Planetary Change, Statistics and Probability, Atmospheric Science and Nuclear Energy and Engineering, having authored 17 papers that have together received 462 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (2 papers), Meteorological Phenomena and Simulations (1 paper), Climate variability and models (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Water Science and Technology (328 citations), Environmental Engineering (95 citations), Statistics, Probability and Uncertainty (20 citations), Global and Planetary Change (41 citations) and Statistics and Probability (23 citations). Tyler Jon Smith has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Lucy Amanda Marshall, Ashish Sharma, Scott A. Sisson, Rajeshwar Mehrotra, B. L. McGlynn, Kelsey Jencso, Timothy Hodson and Thomas M. Over. Their work appears in journals such as Water Resources Research, Journal of Hydrology, Journal of Hydrologic Engineering, Hydrological Sciences Journal and Advances in Water 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.