Dylan Boyd

653 total citations
24 papers, 436 citations indexed

About

Dylan Boyd is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Dylan Boyd has authored 24 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 17 papers in Atmospheric Science and 9 papers in Aerospace Engineering. Recurrent topics in Dylan Boyd's work include Soil Moisture and Remote Sensing (20 papers), Precipitation Measurement and Analysis (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers). Dylan Boyd is often cited by papers focused on Soil Moisture and Remote Sensing (20 papers), Precipitation Measurement and Analysis (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers). Dylan Boyd collaborates with scholars based in United States and Türkiye. Dylan Boyd's co-authors include Mehmet Kurum, Ali Cafer Gürbüz, Orhan Eroglu, Volkan Senyurek, Robert Moorhead, Fangni Lei, Wade T. Crow, Rajat Bindlish, Manuel A. Vega and Jeffrey R. Piepmeier and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Dylan Boyd

22 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan Boyd United States 7 412 271 144 57 46 24 436
A. Joseph United States 10 466 1.1× 351 1.3× 176 1.2× 51 0.9× 41 0.9× 25 514
M. Thibeault Argentina 7 370 0.9× 282 1.0× 65 0.5× 78 1.4× 22 0.5× 16 419
Philippe Richaume France 8 445 1.1× 365 1.3× 71 0.5× 80 1.4× 19 0.4× 13 495
Nicolas Baghdadi France 5 427 1.0× 266 1.0× 243 1.7× 59 1.0× 55 1.2× 6 456
Stefan Schaufler Austria 4 276 0.7× 197 0.7× 85 0.6× 49 0.9× 18 0.4× 4 343
Alireza Mahmoodi France 6 374 0.9× 311 1.1× 45 0.3× 74 1.3× 15 0.3× 8 418
B. Bizzarri Italy 4 380 0.9× 324 1.2× 65 0.5× 73 1.3× 34 0.7× 11 446
Alexander Löw Germany 7 252 0.6× 221 0.8× 69 0.5× 34 0.6× 22 0.5× 15 344
M. Rahman United States 6 322 0.8× 213 0.8× 161 1.1× 70 1.2× 34 0.7× 8 371
N. Holah France 6 519 1.3× 326 1.2× 293 2.0× 82 1.4× 72 1.6× 7 547

Countries citing papers authored by Dylan Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan Boyd. A scholar is included among the top collaborators of Dylan Boyd 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 Dylan Boyd. Dylan Boyd 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.
Boyd, Dylan, et al.. (2025). Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6451–6463. 1 indexed citations
2.
Boyd, Dylan, et al.. (2024). A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5093–5105. 6 indexed citations
3.
Boyd, Dylan, et al.. (2024). Exploring the Impact of Tree Structure on Forest Transmissivity Modeling. 542–546. 1 indexed citations
4.
5.
Boyd, Dylan, et al.. (2023). Forest Vegetation Optical Depth Mapping Using GNSS Signals at SMAPVEX’22. 3237–3240. 4 indexed citations
6.
Boyd, Dylan, et al.. (2022). Preliminary Snow Water Equivalent Retrieval of SnowEX20 Swesarr Data. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 3927–3930. 1 indexed citations
7.
Kurum, Mehmet, et al.. (2022). Recent Results from P-Band Signals of Opportunity Receiver Deployed on a Multi-Copter Uas Platform. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5196–5199. 1 indexed citations
8.
Kurum, Mehmet, et al.. (2022). GNSS TRANSMISSOMETRY (GNSS-T): MODELING PROPAGATION OF GNSS SIGNALS THROUGH FOREST CANOPY. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4695–4698. 4 indexed citations
9.
Lei, Fangni, Volkan Senyurek, Mehmet Kurum, et al.. (2022). Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Remote Sensing of Environment. 276. 113041–113041. 56 indexed citations
10.
Boyd, Dylan, et al.. (2021). Development of Spaceborne SoOp Reflectometry Model for Complex Terrains. 1429–1431. 1 indexed citations
11.
Lei, Fangni, Volkan Senyurek, Mehmet Kurum, et al.. (2021). Quasi-Global GNSS-R Soil Moisture Retrievals at High Spatio-Temporal Resolution from Cygnss and Smap Data. 6303–6306. 6 indexed citations
12.
Senyurek, Volkan, Ali Cafer Gürbüz, Mehmet Kurum, et al.. (2021). Spatial and Temporal Interpolation of CYGNSS Soil Moisture Estimations. 6307–6310. 3 indexed citations
13.
Boyd, Dylan, Ali Cafer Gürbüz, Mehmet Kurum, et al.. (2020). Cramer–Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 6101–6114. 7 indexed citations
14.
Eroglu, Orhan, Dylan Boyd, & Mehmet Kurum. (2020). The Signals of Opportunity Coherent Bistatic Scattering Simulator: A Free Open Source Framework [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine. 8(3). 63–75. 3 indexed citations
15.
Boyd, Dylan, Mehmet Kurum, Orhan Eroglu, et al.. (2020). SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections. Remote Sensing. 12(21). 3480–3480. 4 indexed citations
16.
Lei, Fangni, Volkan Senyurek, Mehmet Kurum, et al.. (2020). Machine-Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations. 4470–4473. 6 indexed citations
17.
Boyd, Dylan, Rajat Bindlish, Mehmet Kurum, et al.. (2019). Inversion Study of Simulated and Physical Soil Moisture Profiles using Multifrequency Soop-Sources. 8. 5259–5262. 3 indexed citations
18.
Eroglu, Orhan, Dylan Boyd, Ali Cafer Gürbüz, & Mehmet Kurum. (2019). Investigations into CYGNSS-Based Soil Moisture Retrieval Algorithms. 8. 6211–6214.
19.
Boyd, Dylan, Mehmet Kurum, James L. Garrison, et al.. (2018). Probing Soil Moisture Up to Root-Zone by Using Multiple Signals of Opportunity. 206–209. 4 indexed citations
20.
Eroglu, Orhan, Dylan Boyd, & Mehmet Kurum. (2018). Open-Sourcing of a SoOp Simulator with Bistatic Vegetation Scattering Model. 5879–5882. 3 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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