Tyler Hesser

716 total citations
32 papers, 392 citations indexed

About

Tyler Hesser is a scholar working on Earth-Surface Processes, Oceanography and Atmospheric Science. According to data from OpenAlex, Tyler Hesser has authored 32 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Earth-Surface Processes, 25 papers in Oceanography and 14 papers in Atmospheric Science. Recurrent topics in Tyler Hesser's work include Coastal and Marine Dynamics (26 papers), Ocean Waves and Remote Sensing (20 papers) and Tropical and Extratropical Cyclones Research (14 papers). Tyler Hesser is often cited by papers focused on Coastal and Marine Dynamics (26 papers), Ocean Waves and Remote Sensing (20 papers) and Tropical and Extratropical Cyclones Research (14 papers). Tyler Hesser collaborates with scholars based in United States, Australia and Croatia. Tyler Hesser's co-authors include Katherine Brodie, Matthew W. Farthing, A. Spicer Bak, Jane McKee Smith, Jonghyun Lee, Eric Darve, Peter K. Kitanidis, Aron Roland, Patrick J. Dickhudt and Ali Abdolali and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Tyler Hesser

31 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tyler Hesser United States 12 268 216 160 122 61 32 392
Dae‐Hong Kim South Korea 11 236 0.9× 101 0.5× 184 1.1× 100 0.8× 43 0.7× 30 441
Giovanni La Forgia Italy 11 158 0.6× 203 0.9× 120 0.8× 19 0.2× 59 1.0× 23 344
Adam J. Bechle United States 10 117 0.4× 189 0.9× 191 1.2× 79 0.6× 20 0.3× 15 370
Francesco De Leo Italy 13 128 0.5× 260 1.2× 179 1.1× 70 0.6× 32 0.5× 25 400
Keith J. Roberts United States 8 91 0.3× 122 0.6× 183 1.1× 94 0.8× 18 0.3× 12 325
Uriah Gravois United States 9 207 0.8× 198 0.9× 244 1.5× 56 0.5× 36 0.6× 16 354
P. G. Remya India 12 128 0.5× 313 1.4× 245 1.5× 44 0.4× 31 0.5× 33 407
Rodolfo Bolaños United Kingdom 13 326 1.2× 405 1.9× 307 1.9× 142 1.2× 24 0.4× 34 573
Robert A. Holman United States 17 845 3.2× 355 1.6× 247 1.5× 479 3.9× 31 0.5× 35 924
Andojo Wurjanto Indonesia 9 312 1.2× 145 0.7× 106 0.7× 110 0.9× 8 0.1× 31 371

Countries citing papers authored by Tyler Hesser

Since Specialization
Citations

This map shows the geographic impact of Tyler Hesser'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 Hesser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Hesser more than expected).

Fields of papers citing papers by Tyler Hesser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler Hesser. 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 Hesser. The network helps show where Tyler Hesser may publish in the future.

Co-authorship network of co-authors of Tyler Hesser

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Hesser. A scholar is included among the top collaborators of Tyler Hesser 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 Tyler Hesser. Tyler Hesser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hesser, Tyler, et al.. (2024). Sensitivity and impact of atmospheric forcings on hurricane wind wave modeling in the Gulf of Mexico using nested WAVEWATCH III. Applied Ocean Research. 154. 104320–104320. 1 indexed citations
2.
Abdolali, Ali, et al.. (2024). Great Lakes wave forecast system on high-resolution unstructured meshes. Geoscientific model development. 17(3). 1023–1039. 4 indexed citations
3.
Cohn, Nicholas, et al.. (2024). Insights into nearshore sandbar dynamics through process-based numerical and logistic regression modeling. Coastal Engineering. 192. 104558–104558. 2 indexed citations
4.
Hesser, Tyler, et al.. (2023). SCALABLE REAL-TIME DATA ASSIMILATION WITH VARIOUS DATA TYPES FOR ACCURATE SPATIOTEMPORAL NEARSHORE BATHYMETRY ESTIMATION. Coastal Engineering Proceedings. 156–156. 1 indexed citations
5.
Collins, Adam, et al.. (2023). Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 8 indexed citations
6.
Abdolali, Ali, Tyler Hesser, Aron Roland, et al.. (2022). Wave Attenuation by Vegetation: Model Implementation and Validation Study. Frontiers in Built Environment. 8. 11 indexed citations
7.
Collins, Clarence O., Tyler Hesser, Peter Rogowski, & Sophia Merrifield. (2021). Altimeter Observations of Tropical Cyclone-generated Sea States: Spatial Analysis and Operational Hindcast Evaluation. Journal of Marine Science and Engineering. 9(2). 216–216. 13 indexed citations
8.
Collins, Adam, et al.. (2021). Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC. Remote Sensing. 13(23). 4907–4907. 14 indexed citations
9.
Collins, Adam, Katherine Brodie, A. Spicer Bak, Tyler Hesser, & Matthew W. Farthing. (2020). Nearshore Bathymetric Inversion and Uncertainty Estimation from Synthetic Imagery using a 2D Fully Convolutional Neural Network. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
10.
Collins, Adam, Katherine Brodie, A. Spicer Bak, et al.. (2020). A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model Celeris.. National Conference on Artificial Intelligence. 2 indexed citations
11.
12.
Simmons, Joshua A., et al.. (2020). MACHINE LEARNING CLASSIFICATION OF BEACH STATE FROM ARGUS IMAGERY. Coastal Engineering Proceedings. 37–37. 2 indexed citations
13.
Abdolali, Ali, Aron Roland, André van der Westhuysen, et al.. (2020). Large-scale hurricane modeling using domain decomposition parallelization and implicit scheme implemented in WAVEWATCH III wave model. Coastal Engineering. 157. 103656–103656. 52 indexed citations
14.
Simmons, Joshua A., et al.. (2020). Beach State Recognition Using Argus Imagery and Convolutional Neural Networks. Remote Sensing. 12(23). 3953–3953. 23 indexed citations
15.
Massey, Thomas C., et al.. (2019). An Overview of ERDC's Coastal Storm Modeling System as Applied to the South Atlantic Coast Study: Puerto Rico and the U.S. Virgin Islands. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Lee, Jonghyun, et al.. (2019). Novel Data Assimilation Algorithm for Nearshore Bathymetry. Journal of Atmospheric and Oceanic Technology. 36(4). 699–715. 11 indexed citations
17.
Ludka, Bonnie C., R. T. Guza, W. C. O’Reilly, et al.. (2019). Sixteen years of bathymetry and waves at San Diego beaches. Scientific Data. 6(1). 68 indexed citations
18.
Brodie, Katherine, Preston Hartzell, A. Spicer Bak, et al.. (2018). Multi-Beam Lidar Observations of Breaking Waves. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
19.
Lee, Jonghyun, et al.. (2018). Riverine Bathymetry Imaging With Indirect Observations. Water Resources Research. 54(5). 3704–3727. 16 indexed citations
20.
Murphy, Patrick L., et al.. (2009). Subtidal flow and its variability at the entrance to a subtropical lagoon. Continental Shelf Research. 29(20). 2318–2332. 5 indexed citations

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.

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