Mark E. Borsuk

6.4k total citations · 1 hit paper
114 papers, 4.8k citations indexed

About

Mark E. Borsuk is a scholar working on Global and Planetary Change, Water Science and Technology and Economics and Econometrics. According to data from OpenAlex, Mark E. Borsuk has authored 114 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 27 papers in Water Science and Technology and 21 papers in Economics and Econometrics. Recurrent topics in Mark E. Borsuk's work include Bayesian Modeling and Causal Inference (17 papers), Soil and Water Nutrient Dynamics (15 papers) and Climate Change Policy and Economics (13 papers). Mark E. Borsuk is often cited by papers focused on Bayesian Modeling and Causal Inference (17 papers), Soil and Water Nutrient Dynamics (15 papers) and Climate Change Policy and Economics (13 papers). Mark E. Borsuk collaborates with scholars based in United States, Switzerland and Netherlands. Mark E. Borsuk's co-authors include Craig A. Stow, Kenneth H. Reckhow, Peter Reichert, Richard B. Howarth, Rama Mohana R. Turaga, Song S. Qian, Michael D. Gerst, Anthony J. Jakeman, Hans Jørgen Henriksen and Alexey Voinov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Mark E. Borsuk

112 papers receiving 4.6k citations

Hit Papers

Selecting among five common modelling approaches for inte... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark E. Borsuk United States 35 1.3k 1.1k 669 652 603 114 4.8k
Alexey Voinov Netherlands 46 3.2k 2.5× 1.7k 1.5× 883 1.3× 1.2k 1.8× 552 0.9× 178 8.4k
J.P. van der Sluijs Netherlands 44 2.6k 2.0× 999 0.9× 519 0.8× 1.2k 1.8× 229 0.4× 131 9.3k
Yuan Zhang China 41 2.2k 1.7× 1.4k 1.2× 1.4k 2.0× 928 1.4× 793 1.3× 236 7.0k
Carlo Giupponi Italy 40 1.6k 1.2× 1.3k 1.1× 322 0.5× 445 0.7× 267 0.4× 168 4.3k
Peter J. Thorburn Australia 53 1.5k 1.1× 970 0.9× 1.1k 1.7× 1.1k 1.6× 687 1.1× 186 7.2k
Olli Varis Finland 46 1.9k 1.5× 3.1k 2.7× 1.3k 2.0× 1.1k 1.7× 325 0.5× 209 7.9k
Tobias Krueger Germany 29 1.3k 1.0× 1.7k 1.5× 757 1.1× 632 1.0× 377 0.6× 74 3.5k
Lei Gao China 35 1.7k 1.3× 631 0.6× 611 0.9× 886 1.4× 110 0.2× 203 4.9k
Joseph H. A. Guillaume Australia 29 1.9k 1.4× 2.1k 1.8× 483 0.7× 1.1k 1.7× 214 0.4× 91 5.2k
Junsheng Li China 36 3.1k 2.4× 1.9k 1.7× 1.6k 2.5× 709 1.1× 718 1.2× 304 7.4k

Countries citing papers authored by Mark E. Borsuk

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Borsuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Borsuk. 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 Mark E. Borsuk. The network helps show where Mark E. Borsuk may publish in the future.

Co-authorship network of co-authors of Mark E. Borsuk

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Borsuk. A scholar is included among the top collaborators of Mark E. Borsuk 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 Mark E. Borsuk. Mark E. Borsuk 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.
Wiener, Jonathan B., et al.. (2025). Multi-Risk Governance of Solar Radiation Modification. European Journal of Risk Regulation. 16(4). 1246–1262.
2.
Bala, Govindasamy, et al.. (2025). Practical paths to risk-risk analysis of solar radiation modification. 5(1). 2 indexed citations
3.
Borsuk, Mark E., et al.. (2024). Causal inference to scope environmental impact assessment of renewable energy projects and test competing mental models of decarbonization. SHILAP Revista de lepidopterología. 4(4). 45005–45005. 1 indexed citations
4.
Bradbury, Kyle, et al.. (2024). Remotely sensed above-ground storage tank dataset for object detection and infrastructure assessment. Scientific Data. 11(1). 67–67. 4 indexed citations
5.
Chipman, Jonathan, et al.. (2023). Patterns of Co-contamination in Freshwater and Marine Fish of the Northeastern USA. Environmental Modeling & Assessment. 28(6). 1127–1137. 1 indexed citations
6.
Borsuk, Mark E., et al.. (2019). Effects of temperature, salinity, and sediment organic carbon on methylmercury bioaccumulation in an estuarine amphipod. The Science of The Total Environment. 687. 907–916. 23 indexed citations
7.
Borsuk, Mark E., et al.. (2018). Risk Trade-offs Between Climate Change, Mitigation, and Solar Radiation Management. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
8.
Su, Chengwei & Mark E. Borsuk. (2016). Improving structure MCMC for Bayesian networks through Markov blanket resampling. Journal of Machine Learning Research. 17(1). 4042–4061. 9 indexed citations
9.
Borsuk, Mark E., et al.. (2015). A Community-Driven Intervention in Tuftonboro, New Hampshire, Succeeds in Altering Water Testing Behavior.. PubMed. 78(5). 30–9. 27 indexed citations
10.
Lutz, David A., et al.. (2015). Tradeoffs between three forest ecosystem services across the state of New Hampshire, USA: timber, carbon, and albedo. Ecological Applications. 3634488273–3634488273. 2 indexed citations
11.
Chen, Celia Y., Mark E. Borsuk, Deenie M. Buggé, et al.. (2014). Benthic and Pelagic Pathways of Methylmercury Bioaccumulation in Estuarine Food Webs of the Northeast United States. PLoS ONE. 9(2). e89305–e89305. 111 indexed citations
12.
Eser, Umut, et al.. (2013). Nuclear Repulsion Enables Division Autonomy in a Single Cytoplasm. Current Biology. 23(20). 1999–2010. 51 indexed citations
13.
Thomas, Andrew C., et al.. (2013). Interannual variability in the timing of New England shellfish toxicity and relationships to environmental forcing. The Science of The Total Environment. 447. 255–266. 11 indexed citations
14.
Lee, ChangHwan, Huaiying Zhang, Amy E. Baker, et al.. (2013). Protein Aggregation Behavior Regulates Cyclin Transcript Localization and Cell-Cycle Control. Developmental Cell. 25(6). 572–584. 87 indexed citations
15.
Borsuk, Mark E., et al.. (2011). Eliciting density ratio classes. International Journal of Approximate Reasoning. 52(6). 792–804. 9 indexed citations
16.
Borsuk, Mark E., Steffen Schweizer, & Peter Reichert. (2011). A Bayesian network model for integrative river rehabilitation planning and management. Integrated Environmental Assessment and Management. 8(3). 462–472. 23 indexed citations
17.
Occhipinti, Patricia, et al.. (2010). A conserved G 1 regulatory circuit promotes asynchronous behavior of nuclei sharing a common cytoplasm. Cell Cycle. 9(18). 3795–3803. 22 indexed citations
18.
Turaga, Rama Mohana R., Richard B. Howarth, & Mark E. Borsuk. (2010). Pro‐environmental behavior. Annals of the New York Academy of Sciences. 1185(1). 211–224. 248 indexed citations
19.
Borsuk, Mark E., Peter Reichert, & Patricia Burkhardt‐Holm. (2004). A Bayesian belief network for modelling brown trout (Salmo trutta) populations in Switzerland. ScholarsArchive (Brigham Young University). 6 indexed citations
20.
Stow, Craig A., Mark E. Borsuk, & Kenneth H. Reckhow. (2002). Nitrogen TMDL Development in the Neuse River Watershed: An Imperative for Adaptive Management. OpenSIUC (Southern Illinois University Carbondale). 122(1). 4. 8 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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