Michael J. Sayers

1.4k total citations
41 papers, 951 citations indexed

About

Michael J. Sayers is a scholar working on Oceanography, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, Michael J. Sayers has authored 41 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 18 papers in Environmental Chemistry and 13 papers in Nature and Landscape Conservation. Recurrent topics in Michael J. Sayers's work include Aquatic Ecosystems and Phytoplankton Dynamics (18 papers), Marine and coastal ecosystems (18 papers) and Fish Ecology and Management Studies (13 papers). Michael J. Sayers is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (18 papers), Marine and coastal ecosystems (18 papers) and Fish Ecology and Management Studies (13 papers). Michael J. Sayers collaborates with scholars based in United States, Canada and Russia. Michael J. Sayers's co-authors include Robert A. Shuchman, Gary L. Fahnenstiel, Colin Brooks, Karl R. Bosse, George Leshkevich, Thomas H. Johengen, F. R. McFeely, Foad Yousef, James L. Gole and Dmitry Pozdnyakov and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Michael J. Sayers

39 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Sayers United States 19 383 381 308 227 222 41 951
Amy T. Hansen United States 15 86 0.2× 392 1.0× 252 0.8× 128 0.6× 370 1.7× 29 802
Han Bo-ping China 14 177 0.5× 235 0.6× 121 0.4× 74 0.3× 82 0.4× 39 595
M. Poulin Canada 21 794 2.1× 413 1.1× 396 1.3× 45 0.2× 111 0.5× 66 1.5k
Peer Fietzek Germany 13 556 1.5× 280 0.7× 163 0.5× 36 0.2× 101 0.5× 25 929
Tao Feng China 19 409 1.1× 145 0.4× 96 0.3× 45 0.2× 142 0.6× 68 1.0k
M.I. Liddicoat United Kingdom 18 782 2.0× 251 0.7× 246 0.8× 30 0.1× 62 0.3× 22 1.3k
Rüdiger Röttgers Germany 27 1.9k 5.0× 217 0.6× 720 2.3× 38 0.2× 228 1.0× 85 2.4k
Alexander Beaton United Kingdom 20 257 0.7× 130 0.3× 247 0.8× 18 0.1× 145 0.7× 34 1.1k
Christian Dinkel Switzerland 17 342 0.9× 321 0.8× 297 1.0× 35 0.2× 53 0.2× 28 896
Young‐Heon Jo South Korea 21 708 1.8× 76 0.2× 250 0.8× 36 0.2× 104 0.5× 97 1.3k

Countries citing papers authored by Michael J. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Sayers

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Sayers. A scholar is included among the top collaborators of Michael J. Sayers 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 Michael J. Sayers. Michael J. Sayers 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.
Binding, Caren, et al.. (2024). Assessing water clarity status and long-term trends in North America’s largest lakes using ESA’s Ocean Colour Climate Change Initiative (OC-CCI) products. Journal of Great Lakes Research. 50(6). 102454–102454. 2 indexed citations
2.
Bosse, Karl R., et al.. (2024). Are Harmful Algal Blooms Increasing in the Great Lakes?. Water. 16(14). 1944–1944. 4 indexed citations
5.
Sayers, Michael J., Gary L. Fahnenstiel, Robert A. Shuchman, & Karl R. Bosse. (2021). A new method to estimate global freshwater phytoplankton carbon fixation using satellite remote sensing: initial results. International Journal of Remote Sensing. 42(10). 3708–3730. 15 indexed citations
6.
Becker, R. H., et al.. (2019). Unmanned aerial system based spectroradiometer for monitoring harmful algal blooms: A new paradigm in water quality monitoring. Journal of Great Lakes Research. 45(3). 444–453. 60 indexed citations
7.
Anderson, Robert C., Roger Tokars, John Lekki, et al.. (2019). Real time HABs mapping using NASA Glenn hyperspectral imager. Journal of Great Lakes Research. 45(3). 596–608. 13 indexed citations
8.
Sayers, Michael J., Karl R. Bosse, Robert A. Shuchman, et al.. (2019). Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing. Journal of Great Lakes Research. 45(3). 490–507. 24 indexed citations
9.
Wang, Yuchen, Colleen M. Long, Isabella Bertani, et al.. (2019). Extending the forecast model: Predicting Western Lake Erie harmful algal blooms at multiple spatial scales. Journal of Great Lakes Research. 45(3). 587–595. 34 indexed citations
10.
Ortiz, Joseph D., Stephen Schiller, Jeffrey C. Luvall, et al.. (2019). Evaluating visible derivative spectroscopy by varimax-rotated, principal component analysis of aerial hyperspectral images from the western basin of Lake Erie. Journal of Great Lakes Research. 45(3). 522–535. 17 indexed citations
11.
Deines, Andrew M., David B. Bunnell, Mark W. Rogers, et al.. (2017). The contribution of lakes to global inland fisheries harvest. Frontiers in Ecology and the Environment. 15(6). 293–298. 40 indexed citations
12.
Bertani, Isabella, Cara Steger, Daniel R. Obenour, et al.. (2016). Tracking cyanobacteria blooms: Do different monitoring approaches tell the same story?. The Science of The Total Environment. 575. 294–308. 56 indexed citations
13.
Yousef, Foad, et al.. (2016). Water clarity of the Upper Great Lakes: Tracking changes between 1998–2012. Journal of Great Lakes Research. 43(2). 239–247. 40 indexed citations
14.
Fahnenstiel, Gary L., Michael J. Sayers, Robert A. Shuchman, Foad Yousef, & Steven A. Pot­hoven. (2016). Lake-wide phytoplankton production and abundance in the Upper Great Lakes: 2010–2013. Journal of Great Lakes Research. 42(3). 619–629. 41 indexed citations
15.
Sayers, Michael J., et al.. (2016). Cyanobacteria blooms in three eutrophic basins of the Great Lakes: a comparative analysis using satellite remote sensing. International Journal of Remote Sensing. 37(17). 4148–4171. 56 indexed citations
16.
17.
Sayers, Michael J., Robert A. Shuchman, Andrea Vander Woude, et al.. (2012). Mapping harmful algae blooms (HABs) in the Great Lakes using MODIS and MERIS satellite data. Digital Commons - Michigan Tech (Michigan Technological University). 2 indexed citations
18.
Sayers, Michael J., et al.. (1981). A novel bonding geometry of CO on Cu(311) as determined by angle-resolved photoemission spectroscopy. Chemical Physics Letters. 80(3). 521–525. 9 indexed citations
19.
Trenary, Michael, N. D. Shinn, Michael J. Sayers, et al.. (1981). An angle resolved photoemission determination of the coordination of CO on the ZnO(0001) surface. The Journal of Chemical Physics. 74(8). 4726–4731. 17 indexed citations
20.
D’Amico, K. L., et al.. (1980). Ultraviolet photoemission studies of the bonding of CO to the ZnO (1010) surface and its interaction with atomic hydrogen. Journal of Vacuum Science and Technology. 17(5). 1080–1084. 18 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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