Jeffrey J. Danielson

2.7k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Jeffrey J. Danielson is a scholar working on Environmental Engineering, Earth-Surface Processes and Global and Planetary Change. According to data from OpenAlex, Jeffrey J. Danielson has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 8 papers in Earth-Surface Processes and 6 papers in Global and Planetary Change. Recurrent topics in Jeffrey J. Danielson's work include Remote Sensing and LiDAR Applications (16 papers), Coastal and Marine Dynamics (8 papers) and Coastal wetland ecosystem dynamics (4 papers). Jeffrey J. Danielson is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Coastal and Marine Dynamics (8 papers) and Coastal wetland ecosystem dynamics (4 papers). Jeffrey J. Danielson collaborates with scholars based in United States, Australia and Guam. Jeffrey J. Danielson's co-authors include Dean B. Gesch, Brian S. Ward, Aaron T. Wolf, C. C. Carabajal, Akira Iwasaki, Bill Curtis, Michael J. Abrams, John C. Brock, Cindy A. Thatcher and Dean J. Tyler and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Jeffrey J. Danielson

25 papers receiving 956 citations

Hit Papers

ASTER Global Digital Elev... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey J. Danielson United States 10 293 291 282 207 203 26 1.0k
Philip S. J. Minderhoud Netherlands 17 405 1.4× 392 1.3× 214 0.8× 186 0.9× 444 2.2× 45 1.5k
Laurence Hawker United Kingdom 12 590 2.0× 349 1.2× 311 1.1× 340 1.6× 165 0.8× 19 1.1k
Volker Hochschild Germany 18 446 1.5× 648 2.2× 185 0.7× 170 0.8× 175 0.9× 76 1.4k
Abotalib Z. Abotalib United States 25 281 1.0× 101 0.3× 488 1.7× 266 1.3× 50 0.2× 53 1.2k
Jiayi Fang China 16 982 3.4× 579 2.0× 165 0.6× 253 1.2× 157 0.8× 37 1.4k
Jeison Sosa United Kingdom 8 650 2.2× 318 1.1× 238 0.8× 517 2.5× 267 1.3× 11 1.1k
Akhtar Alam India 22 867 3.0× 348 1.2× 411 1.5× 431 2.1× 200 1.0× 58 1.6k
Thomas Hennig Germany 11 280 1.0× 302 1.0× 84 0.3× 289 1.4× 177 0.9× 15 860
A. S. Rajawat India 22 398 1.4× 492 1.7× 147 0.5× 113 0.5× 469 2.3× 107 1.7k
Hahn Chul Jung United States 24 812 2.8× 275 0.9× 333 1.2× 530 2.6× 259 1.3× 52 1.4k

Countries citing papers authored by Jeffrey J. Danielson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Danielson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Danielson. 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 Jeffrey J. Danielson. The network helps show where Jeffrey J. Danielson may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Danielson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Danielson. A scholar is included among the top collaborators of Jeffrey J. Danielson 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 Jeffrey J. Danielson. Jeffrey J. Danielson 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.
Enwright, Nicholas M., et al.. (2024). Assessing the vertical accuracy of digital elevation models by quality level and land cover. Remote Sensing Letters. 15(7). 667–677. 2 indexed citations
2.
Kim, Minsu, et al.. (2024). Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images. Remote Sensing. 16(5). 843–843. 6 indexed citations
3.
Pălășeanu-Lovejoy, Monica, Oleg Alexandrov, Jeffrey J. Danielson, & Curt D. Storlazzi. (2023). SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline. Remote Sensing. 15(16). 3950–3950. 4 indexed citations
4.
Meyer, Michael F., Jeffrey J. Danielson, Maurice G. Estes, et al.. (2023). Pecora 22: Remote Sensing for Freshwater and Marine Environments. Limnology and Oceanography Bulletin. 32(2). 82–83. 1 indexed citations
5.
Kim, Minsu, et al.. (2022). Absolute Accuracy Assessment of Lidar Point Cloud Using Amorphous Objects. Remote Sensing. 14(19). 4767–4767. 5 indexed citations
6.
Ellison, JC, et al.. (2022). Elevations of mangrove forests of Pohnpei, Micronesia. Estuarine Coastal and Shelf Science. 268. 107780–107780. 23 indexed citations
8.
Kim, Minsu, et al.. (2020). Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project. Remote Sensing. 12(12). 1974–1974. 9 indexed citations
9.
Gesch, Dean B., et al.. (2020). Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands Using A High-Accuracy Digital Elevation Model. Remote Sensing. 12(1). 154–154. 12 indexed citations
10.
Kim, Minsu, et al.. (2019). General External Uncertainty Models of Three-Plane Intersection Point for 3D Absolute Accuracy Assessment of Lidar Point Cloud. Remote Sensing. 11(23). 2737–2737. 8 indexed citations
11.
Pălășeanu-Lovejoy, Monica, Jeffrey J. Danielson, Dean J. Tyler, et al.. (2018). One-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016. Scientific investigations report. 7 indexed citations
12.
Pălășeanu-Lovejoy, Monica, et al.. (2018). Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery. Scientific investigations report. 13 indexed citations
13.
Danielson, Jeffrey J., et al.. (2018). Coastal National Elevation Database. Fact sheet. 13 indexed citations
14.
Danielson, Jeffrey J., John C. Brock, Gayla A. Evans, et al.. (2016). Topobathymetric Elevation Model Development using a New Methodology: Coastal National Elevation Database. Journal of Coastal Research. 76. 75–89. 77 indexed citations
15.
Gesch, Dean B., Cindy A. Thatcher, Bruce B. Worstell, & Jeffrey J. Danielson. (2016). Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey. USGS DOI Tool Production Environment. 2 indexed citations
16.
Worstell, Bruce B., et al.. (2014). Hydrologic enforcement of lidar DEMs. Fact sheet. 8 indexed citations
17.
Danielson, Jeffrey J., et al.. (2013). Topobathymetric model of Mobile Bay, Alabama. Data series. 9 indexed citations
18.
Auch, Roger F., Mark A. Drummond, Kristi L. Sayler, et al.. (2013). Land‐Use and Land‐Cover Change in Three Corn Belt Ecoregions: Similarities and Differences. Focus on Geography. 56(4). 135–143. 4 indexed citations
19.
Iwasaki, Akira, Dean B. Gesch, Jeffrey J. Danielson, et al.. (2011). ASTER Global Digital Elevation Model Version 2 - summary of validation results. 432 indexed citations breakdown →
20.
Carabajal, C. C., et al.. (2010). Development of AN ICESat Geodetic Control Database and Evaluation of Global Topographic Assets. AGUFM. 2010. 2 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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