Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Ocean color chlorophyll algorithms for SeaWiFS
19982.0k citationsB. Greg Mitchell, Mati Kahru et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by B. Greg Mitchell
Since
Specialization
Citations
This map shows the geographic impact of B. Greg Mitchell'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 B. Greg Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Greg Mitchell more than expected).
Fields of papers citing papers by B. Greg Mitchell
This network shows the impact of papers produced by B. Greg Mitchell. 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 B. Greg Mitchell. The network helps show where B. Greg Mitchell may publish in the future.
Co-authorship network of co-authors of B. Greg Mitchell
This figure shows the co-authorship network connecting the top 25 collaborators of B. Greg Mitchell.
A scholar is included among the top collaborators of B. Greg Mitchell 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 B. Greg Mitchell. B. Greg Mitchell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Treibitz, Tali, Benjamin P. Neal, David I. Kline, et al.. (2013). Wide field-of-view daytime fluorescence imaging of coral reefs. 2013 OCEANS - San Diego. 1–5.2 indexed citations
9.
Treibitz, Tali, Zak Murez, B. Greg Mitchell, & David Kriegman. (2012). Shape from Fluorescence. Lecture notes in computer science. 292–306.6 indexed citations
10.
Mitchell, B. Greg & Mati Kahru. (2009). ADEOS-II/GLIの生物光学アルゴリズム. National Remote Sensing Bulletin. 29(1). 80–85.21 indexed citations
Schwarz, J., Piotr Kowalczuk, B. Greg Mitchell, et al.. (2002). Two models for absorption by coloured dissolved organic matter (CDOM). SHILAP Revista de lepidopterología.61 indexed citations
13.
Mitchell, B. Greg, et al.. (2002). Study on the Korean Waters using the CAL/VAL of the OSMI Level 2 Data. National Remote Sensing Bulletin. 18(3). 127–139.5 indexed citations
14.
Mitchell, B. Greg, Mati Kahru, Rick A. Reynolds, et al.. (2001). Evaluation of Chlorophyll-a Ocean Color Algorithms for the Southern Ocean. AGU Fall Meeting Abstracts. 2001.2 indexed citations
15.
Mitchell, B. Greg. (2001). Calibration and Validation of Ocean Color Satellite Imagery. Journal of Environmental Sciences. 10(6). 431–436.2 indexed citations
16.
Suh, Young Sang, et al.. (2000). Study of A Recurring Anticyclonic Eddy Off The Northeast Korean Coast Using Satellite Ocean Color and Sea Surface Temperature Imagery. 4(2). 275–280.
17.
Bernstein, Robert L., et al.. (2000). Ocean Color Algorithms for Estimating Water Clarity (Secchi Depth) from Sea WiFS. 4(2). 301–306.18 indexed citations
18.
Mitchell, B. Greg, et al.. (1999). 위성의 해색 영상과 해수면온도 영상을 활용한 재발생 와동류에 관한 연구 ( A Recurring Eddy off the Korean Northeast Coast Captured on Satellite Ocean Color and Sea Surface Temperature Imagery ). 15(2). 175–181.2 indexed citations
Neori, Amir, Osmund Holm‐Hansen, B. Greg Mitchell, & Dale A. Kiefer. (1984). Photoadaptation in Marine Phytoplankton. PLANT PHYSIOLOGY. 76(2). 518–524.42 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.