Steven Greb

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Steven Greb is a scholar working on Oceanography, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Steven Greb has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oceanography, 5 papers in Water Science and Technology and 4 papers in Environmental Engineering. Recurrent topics in Steven Greb's work include Marine and coastal ecosystems (7 papers), Water Quality Monitoring Technologies (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Steven Greb is often cited by papers focused on Marine and coastal ecosystems (7 papers), Water Quality Monitoring Technologies (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Steven Greb collaborates with scholars based in United States, Canada and Japan. Steven Greb's co-authors include Nima Pahlevan, Wesley J. Moses, Caren Binding, Ronghua Ma, Zhongping Lee, Daniela Gurlin, John F. Schalles, Moritz K. Lehmann, Bunkei Matsushita and Krista Alikas and has published in prestigious journals such as Remote Sensing of Environment, Eos and Journal of Great Lakes Research.

In The Last Decade

Steven Greb

9 papers receiving 1.1k citations

Hit Papers

Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Greb United States 7 811 480 418 299 276 9 1.2k
Birgot Paavel Estonia 14 805 1.0× 482 1.0× 423 1.0× 283 0.9× 236 0.9× 31 1.2k
Moritz K. Lehmann New Zealand 10 715 0.9× 509 1.1× 356 0.9× 245 0.8× 250 0.9× 25 1.1k
Brandon Smith United States 12 620 0.8× 427 0.9× 379 0.9× 258 0.9× 259 0.9× 14 1.0k
Kaire Toming Estonia 16 835 1.0× 463 1.0× 364 0.9× 385 1.3× 252 0.9× 30 1.3k
Weining Zhu China 15 597 0.7× 349 0.7× 352 0.8× 185 0.6× 245 0.9× 33 918
Niklas Strömbeck Sweden 14 774 1.0× 400 0.8× 381 0.9× 238 0.8× 164 0.6× 18 1.0k
Zhubin Zheng China 16 594 0.7× 438 0.9× 321 0.8× 188 0.6× 161 0.6× 28 921
Antonio Ruíz-Verdú Spain 15 684 0.8× 356 0.7× 374 0.9× 343 1.1× 191 0.7× 34 1.0k
Anu Reinart Estonia 20 909 1.1× 409 0.9× 375 0.9× 271 0.9× 245 0.9× 34 1.2k
Stéphanie Palmer United Kingdom 10 474 0.6× 344 0.7× 225 0.5× 226 0.8× 326 1.2× 14 934

Countries citing papers authored by Steven Greb

Since Specialization
Citations

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

Fields of papers citing papers by Steven Greb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Greb

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

All Works

9 of 9 papers shown
1.
Jiang, Dalin, Bunkei Matsushita, Nima Pahlevan, et al.. (2021). Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method. Remote Sensing of Environment. 258. 112386–112386. 83 indexed citations
2.
Balasubramanian, Sundarabalan V., Nima Pahlevan, Brandon Smith, et al.. (2020). Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters. Remote Sensing of Environment. 246. 111768–111768. 180 indexed citations
3.
Pahlevan, Nima, Brandon Smith, John F. Schalles, et al.. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. Remote Sensing of Environment. 240. 111604–111604. 379 indexed citations breakdown →
4.
Pahlevan, Nima, John R. Schott, Bryan A. Franz, et al.. (2017). Landsat 8 remote sensing reflectance (Rrs) products: Evaluations, intercomparisons, and enhancements. Remote Sensing of Environment. 190. 289–301. 128 indexed citations
5.
Mouw, Colleen B., Steven Greb, Dirk Aurin, et al.. (2015). Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions. Remote Sensing of Environment. 160. 15–30. 282 indexed citations
6.
Lee, Zhongping, Nima Pahlevan, Yu-Hwan Ahn, Steven Greb, & David M. O’Donnell. (2013). Robust approach to directly measuring water-leaving radiance in the field. Applied Optics. 52(8). 1693–1693. 83 indexed citations
7.
O’Donnell, David M., et al.. (2013). Resolution of optical gradients and pursuit of optical closure for Green Bay, Lake Michigan. Journal of Great Lakes Research. 39. 161–172. 12 indexed citations
8.
Mouw, Colleen B. & Steven Greb. (2012). Inland and coastal waters. Eos. 93(39). 375–375. 2 indexed citations
9.
Stewart, Jana S., et al.. (2010). A Model for Evaluating Stream Temperature Response to Climate Change Scenarios in Wisconsin. 32. 1–12. 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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