Andrew Meredith

927 total citations
19 papers, 715 citations indexed

About

Andrew Meredith is a scholar working on Oceanography, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Andrew Meredith has authored 19 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oceanography, 5 papers in Environmental Chemistry and 5 papers in Environmental Engineering. Recurrent topics in Andrew Meredith's work include Marine and coastal ecosystems (12 papers), Remote Sensing and LiDAR Applications (5 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (4 papers). Andrew Meredith is often cited by papers focused on Marine and coastal ecosystems (12 papers), Remote Sensing and LiDAR Applications (5 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (4 papers). Andrew Meredith collaborates with scholars based in United States, New Zealand and United Kingdom. Andrew Meredith's co-authors include Richard P. Stumpf, Sachidananda Mishra, Isabel Caballero, P. Jeremy Werdell, Blake A. Schaeffer, Keith A. Loftin, Asbury H. Sallenger, Robert N. Swift, S. Manizade and John C. Brock and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and International Journal of Remote Sensing.

In The Last Decade

Andrew Meredith

19 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Meredith United States 13 300 241 201 188 179 19 715
Christine M. Hladik United States 7 402 1.3× 405 1.7× 135 0.7× 188 1.0× 74 0.4× 13 820
Cary D. Troy United States 15 305 1.0× 253 1.0× 211 1.0× 115 0.6× 80 0.4× 51 813
Weibing Guan China 18 565 1.9× 319 1.3× 250 1.2× 34 0.2× 101 0.6× 63 931
Lachlan I. W. McKinna United States 14 630 2.1× 444 1.8× 77 0.4× 67 0.4× 49 0.3× 26 872
Brian Dzwonkowski United States 19 533 1.8× 223 0.9× 152 0.8× 42 0.2× 41 0.2× 50 902
Magda C. Sousa Portugal 20 578 1.9× 266 1.1× 197 1.0× 45 0.2× 32 0.2× 55 987
Lin Yuan China 19 177 0.6× 774 3.2× 315 1.6× 64 0.3× 48 0.3× 50 1.0k
Thomas M. Cole United States 7 401 1.3× 197 0.8× 51 0.3× 262 1.4× 391 2.2× 16 1.1k
Louise C. Bruce Australia 11 308 1.0× 233 1.0× 48 0.2× 98 0.5× 266 1.5× 21 706
Giuliano Lorenzetti Italy 14 241 0.8× 173 0.7× 217 1.1× 57 0.3× 21 0.1× 23 578

Countries citing papers authored by Andrew Meredith

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Meredith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Meredith

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

All Works

19 of 19 papers shown
1.
Gilerson, Alexander, Maria Tzortziou, Michelle C. Tomlinson, et al.. (2024). Development of VIIRS-OLCI chlorophyll-a product for the coastal estuaries. Frontiers in Marine Science. 11. 4 indexed citations
2.
Mishra, Sachidananda, Richard P. Stumpf, & Andrew Meredith. (2023). Constructing a Consistent and Continuous Cyanobacteria Bloom Monitoring Product from Multi-Mission Ocean Color Instruments. Remote Sensing. 15(22). 5291–5291. 4 indexed citations
3.
Wynne, Timothy T., et al.. (2022). Evaluating the Efficacy of Five Chlorophyll-a Algorithms in Chesapeake Bay (USA) for Operational Monitoring and Assessment. Journal of Marine Science and Engineering. 10(8). 1104–1104. 10 indexed citations
4.
Mishra, Sachidananda, Richard P. Stumpf, Blake A. Schaeffer, et al.. (2021). Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data. The Science of The Total Environment. 774. 145462–145462. 44 indexed citations
5.
Cusack, Caroline, et al.. (2021). Using the Red Band Difference Algorithm to Detect and Monitor a Karenia spp. Bloom Off the South Coast of Ireland, June 2019. Frontiers in Marine Science. 8. 13 indexed citations
6.
Wynne, Timothy T., Sachidananda Mishra, Andrew Meredith, R. Wayne Litaker, & Richard P. Stumpf. (2021). Intercalibration of MERIS, MODIS, and OLCI Satellite Imagers for Construction of Past, Present, and Future Cyanobacterial Biomass Time Series. Remote Sensing. 13(12). 2305–2305. 19 indexed citations
7.
Wolny, Jennifer L., Michelle C. Tomlinson, Stephanie Schollaert Uz, et al.. (2020). Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry. Frontiers in Marine Science. 7. 58 indexed citations
8.
Mishra, Sachidananda, Richard P. Stumpf, Blake A. Schaeffer, et al.. (2019). Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing. Scientific Reports. 9(1). 18310–18310. 103 indexed citations
9.
Vandersea, Mark W., Patricia A. Tester, Kris Holderied, et al.. (2019). An extraordinary Karenia mikimotoi "beer tide" in Kachemak Bay Alaska. Harmful Algae. 92. 101706–101706. 17 indexed citations
10.
Caballero, Isabel, Richard P. Stumpf, & Andrew Meredith. (2019). Preliminary Assessment of Turbidity and Chlorophyll Impact on Bathymetry Derived from Sentinel-2A and Sentinel-3A Satellites in South Florida. Remote Sensing. 11(6). 645–645. 99 indexed citations
11.
Wynne, Timothy T., et al.. (2018). Harmful Algal Bloom Forecasting Branch Ocean Color Satellite Imagery Processing Guidelines. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 23 indexed citations
12.
Mishra, Sachidananda, Richard P. Stumpf, & Andrew Meredith. (2018). Evaluation of RapidEye data for mapping algal blooms in inland waters. International Journal of Remote Sensing. 40(7). 2811–2829. 12 indexed citations
13.
14.
Watt, Michael S., et al.. (2013). Use of LiDAR to estimate stand characteristics for thinning operations in young Douglas-fir plantations. New Zealand journal of forestry science. 43(1). 18–18. 22 indexed citations
15.
Watt, Pete, Andrew Meredith, Chen Yang, & Michael S. Watt. (2013). Development of regional models of Pinus radiata height from GIS spatial data supported with supplementary satellite imagery. New Zealand journal of forestry science. 43(1). 11–11. 3 indexed citations
16.
17.
Zeman, Adam, Neil J. Douglas, Andrew H. Hansen, et al.. (2004). Narcolepsy and excessive daytime sleepiness. BMJ. 329(7468). 724–728. 36 indexed citations
18.
Sallenger, Asbury H., William Krabill, Robert N. Swift, et al.. (2003). Evaluation of Airborne Topographic Lidar* for Quantifying Beach Changes. Journal of Coastal Research. 19(1). 125–133. 203 indexed citations
19.
Brock, John C., Asbury H. Sallenger, William Krabill, et al.. (1999). Aircraft Laser Altimetry for Coastal Process Studies. Coastal Sediments. 2414–2428. 14 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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