Jennifer Keisman

923 total citations
18 papers, 607 citations indexed

About

Jennifer Keisman is a scholar working on Oceanography, Environmental Chemistry and Ecology. According to data from OpenAlex, Jennifer Keisman has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oceanography, 7 papers in Environmental Chemistry and 6 papers in Ecology. Recurrent topics in Jennifer Keisman's work include Soil and Water Nutrient Dynamics (7 papers), Marine and coastal ecosystems (6 papers) and Coastal wetland ecosystem dynamics (4 papers). Jennifer Keisman is often cited by papers focused on Soil and Water Nutrient Dynamics (7 papers), Marine and coastal ecosystems (6 papers) and Coastal wetland ecosystem dynamics (4 papers). Jennifer Keisman collaborates with scholars based in United States and Ireland. Jennifer Keisman's co-authors include Rebecca R. Murphy, Elgin S. Perry, Qian Zhang, Jeremy M. Testa, Christopher J. Patrick, Michael Hannam, Robert J. Orth, J. Brooke Landry, Donald E. Weller and Jonathan S. Lefcheck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Jennifer Keisman

17 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Keisman United States 11 350 250 167 146 128 18 607
Douglas E. Pirhalla United States 8 315 0.9× 169 0.7× 123 0.7× 185 1.3× 82 0.6× 18 531
Marcelo Friederichs Landim de Souza Brazil 10 341 1.0× 184 0.7× 149 0.9× 185 1.3× 116 0.9× 24 563
Zita Rasuolė Gasiūnaitė Lithuania 13 381 1.1× 359 1.4× 200 1.2× 175 1.2× 57 0.4× 35 655
Sheila M. Palmer United Kingdom 9 191 0.5× 286 1.1× 271 1.6× 209 1.4× 125 1.0× 12 685
Liana Talaue‐McManus United States 10 420 1.2× 263 1.1× 189 1.1× 217 1.5× 80 0.6× 19 738
Nicole M. Hayes United States 12 253 0.7× 201 0.8× 343 2.1× 119 0.8× 153 1.2× 19 607
Michael E. Mallonee United States 10 644 1.8× 267 1.1× 129 0.8× 218 1.5× 95 0.7× 12 762
Mike Best United Kingdom 15 453 1.3× 227 0.9× 90 0.5× 325 2.2× 95 0.7× 20 708
Daniel A. Lemley South Africa 16 454 1.3× 379 1.5× 209 1.3× 290 2.0× 76 0.6× 48 850
Artūras Razinkovas Lithuania 16 577 1.6× 349 1.4× 277 1.7× 190 1.3× 83 0.6× 22 848

Countries citing papers authored by Jennifer Keisman

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Keisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Keisman

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

All Works

18 of 18 papers shown
1.
Zhang, Qian, Joel D. Blomquist, Rosemary M. Fanelli, et al.. (2023). Progress in reducing nutrient and sediment loads to Chesapeake Bay: Three decades of monitoring data and implications for restoring complex ecosystems. Wiley Interdisciplinary Reviews Water. 10(5). 22 indexed citations
2.
Sanchez, Georgina M., Mitchell J. Eaton, Ana M. García, et al.. (2022). Integrating principles and tools of decision science into value‐driven watershed planning for compensatory mitigation. Ecological Applications. 33(2). e2766–e2766. 2 indexed citations
3.
Orth, Robert J., William C. Dennison, David J. Wilcox, et al.. (2022). Data synthesis for environmental management: A case study of Chesapeake Bay. Journal of Environmental Management. 321. 115901–115901.
4.
Keisman, Jennifer, David S. Brown, Peter S. Murdoch, et al.. (2021). Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey. Antarctica A Keystone in a Changing World. 2 indexed citations
5.
Hyer, Kenneth, Scott Phillips, Scott W. Ator, et al.. (2021). Nutrient trends and drivers in the Chesapeake Bay Watershed. Fact sheet. 4 indexed citations
6.
Murphy, Rebecca R., et al.. (2021). Nutrient Improvements in Chesapeake Bay: Direct Effect of Load Reductions and Implications for Coastal Management. Environmental Science & Technology. 56(1). 260–270. 30 indexed citations
7.
Zhang, Qian, Thomas Fisher, Emily M. Trentacoste, et al.. (2020). Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management. Water Research. 188. 116407–116407. 49 indexed citations
8.
Keisman, Jennifer, et al.. (2019). Spatial and Temporal Patterns of Best Management Practice Implementation in the Chesapeake Bay Watershed, 1985–2014. Scientific investigations report. 15 indexed citations
9.
Murphy, Rebecca R., et al.. (2019). A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay case study. Environmental Modelling & Software. 118. 1–13. 79 indexed citations
11.
Zhang, Qian, Rebecca R. Murphy, Richard Tian, et al.. (2018). Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data. The Science of The Total Environment. 637-638. 1617–1625. 67 indexed citations
12.
Zhang, Qian, Peter J. Tango, Rebecca R. Murphy, et al.. (2018). Chesapeake Bay Dissolved Oxygen Criterion Attainment Deficit: Three Decades of Temporal and Spatial Patterns. Frontiers in Marine Science. 5. 14 indexed citations
13.
Lefcheck, Jonathan S., Robert J. Orth, William C. Dennison, et al.. (2018). Long-term nutrient reductions lead to the unprecedented recovery of a temperate coastal region. Proceedings of the National Academy of Sciences. 115(14). 3658–3662. 203 indexed citations
14.
Keisman, Jennifer, et al.. (2018). Manure and fertilizer inputs to land in the Chesapeake Bay watershed, 1950–2012. Scientific investigations report. 18 indexed citations
15.
Orth, Robert J., William C. Dennison, Jonathan S. Lefcheck, et al.. (2017). Submersed Aquatic Vegetation in Chesapeake Bay: Sentinel Species in a Changing World. BioScience. 67(8). 698–712. 67 indexed citations
16.
Ryberg, Karen R., et al.. (2017). Modeling drivers of phosphorus loads in Chesapeake Bay tributaries and inferences about long-term change. The Science of The Total Environment. 616-617. 1423–1430. 26 indexed citations
17.
Keisman, Jennifer, et al.. (2014). Evaluating changes in water quality with respect to nonpoint source nutrient management strategies in the Chesapeake Bay Watershed. 2014 AGU Fall Meeting. 2014. 1 indexed citations
18.
Peterjohn, Bruce G., et al.. (2003). Incorporating precision, accuracy and alternative sampling designs into a continental monitoring program for colonial waterbirds. Ornis Hungarica. 209–217. 1 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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