Shan Mugalingam

468 total citations
12 papers, 382 citations indexed

About

Shan Mugalingam is a scholar working on Environmental Chemistry, Ecology and Water Science and Technology. According to data from OpenAlex, Shan Mugalingam has authored 12 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Chemistry, 7 papers in Ecology and 6 papers in Water Science and Technology. Recurrent topics in Shan Mugalingam's work include Soil and Water Nutrient Dynamics (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers) and Aquatic Invertebrate Ecology and Behavior (5 papers). Shan Mugalingam is often cited by papers focused on Soil and Water Nutrient Dynamics (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers) and Aquatic Invertebrate Ecology and Behavior (5 papers). Shan Mugalingam collaborates with scholars based in Canada and Vietnam. Shan Mugalingam's co-authors include George B. Arhonditsis, Andrew Morley, Sue B. Watson, Dong‐Kyun Kim, Maria Dittrich, Yuko Shimoda, Weitao Zhang, Stefan Marković, Anqi Liang and Aisha Javed and has published in prestigious journals such as The Science of The Total Environment, Water Research and Chemical Geology.

In The Last Decade

Shan Mugalingam

12 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Mugalingam Canada 11 280 153 150 101 65 12 382
Christine Ridenour Canada 3 250 0.9× 87 0.6× 160 1.1× 132 1.3× 62 1.0× 4 384
Anthony R. Prestigiacomo United States 12 197 0.7× 75 0.5× 162 1.1× 99 1.0× 88 1.4× 34 381
Zebin Tian China 8 154 0.6× 83 0.5× 155 1.0× 73 0.7× 63 1.0× 16 320
Rebecca M. Kreiling United States 13 253 0.9× 187 1.2× 155 1.0× 93 0.9× 35 0.5× 29 393
Matt T. Trentman United States 14 265 0.9× 167 1.1× 189 1.3× 113 1.1× 37 0.6× 24 405
Mary E. Ogdahl United States 14 369 1.3× 232 1.5× 98 0.7× 130 1.3× 106 1.6× 24 500
Olli-Pekka Pietiläinen Finland 9 399 1.4× 163 1.1× 227 1.5× 102 1.0× 145 2.2× 13 505
Eleanor A. Stainsby Canada 10 295 1.1× 175 1.1× 91 0.6× 124 1.2× 132 2.0× 11 398
Marta Condé Lamparelli Brazil 7 222 0.8× 101 0.7× 198 1.3× 56 0.6× 87 1.3× 14 369
Michael R. Penn United States 10 294 1.1× 92 0.6× 106 0.7× 53 0.5× 67 1.0× 24 381

Countries citing papers authored by Shan Mugalingam

Since Specialization
Citations

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

Fields of papers citing papers by Shan Mugalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Mugalingam

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

All Works

12 of 12 papers shown
1.
Kelly, Noreen E., Aisha Javed, Yuko Shimoda, et al.. (2019). A Bayesian risk assessment framework for microcystin violations of drinking water and recreational standards in the Bay of Quinte, Lake Ontario, Canada. Water Research. 162. 288–301. 38 indexed citations
2.
Arhonditsis, George B., et al.. (2019). When can we declare a success? A Bayesian framework to assess the recovery rate of impaired freshwater ecosystems. Environment International. 130. 104821–104821. 25 indexed citations
3.
Marković, Stefan, Anqi Liang, Sue B. Watson, et al.. (2019). Biogeochemical mechanisms controlling phosphorus diagenesis and internal loading in a remediated hard water eutrophic embayment. Chemical Geology. 514. 122–137. 68 indexed citations
4.
Kim, Dong‐Kyun, Maryam Ramin, Vincent Y. S. Cheng, et al.. (2018). An integrative methodological framework for setting environmental criteria: Evaluation of stakeholder perceptions. Ecological Informatics. 48. 147–157. 6 indexed citations
5.
Watson, Sue B., Stefan Marković, Anqi Liang, et al.. (2018). Phosphorus retention and internal loading in the Bay of Quinte, Lake Ontario, using diagenetic modelling. The Science of The Total Environment. 636. 39–51. 45 indexed citations
6.
Ramin, Maryam, Vincent Y. S. Cheng, Dong‐Kyun Kim, et al.. (2018). An Integrative Methodological Framework for Setting Environmental Criteria: Evaluation of Public Preferences. Ecological Economics. 147. 298–311. 11 indexed citations
7.
Shimoda, Yuko, Sue B. Watson, Michelle E. Palmer, et al.. (2016). Delineation of the role of nutrient variability and dreissenids (Mollusca, Bivalvia) on phytoplankton dynamics in the Bay of Quinte, Ontario, Canada. Harmful Algae. 55. 121–136. 24 indexed citations
8.
Kim, Dong‐Kyun, et al.. (2016). Evaluating the relationships between watershed physiography, land use patterns, and phosphorus loading in the bay of Quinte basin, Ontario, Canada. Journal of Great Lakes Research. 42(5). 972–984. 27 indexed citations
9.
10.
Arhonditsis, George B., Dong‐Kyun Kim, Yuko Shimoda, et al.. (2016). Integration of best management practices in the Bay of Quinte watershed with the phosphorus dynamics in the receiving waterbody: What do the models predict?. Aquatic Ecosystem Health & Management. 19(1). 1–18. 25 indexed citations
11.
Kim, Dong‐Kyun, Weitao Zhang, Yerubandi R. Rao, et al.. (2013). Improving the representation of internal nutrient recycling with phosphorus mass balance models: A case study in the Bay of Quinte, Ontario, Canada. Ecological Modelling. 256. 53–68. 49 indexed citations
12.
Zhang, Weitao, Dong‐Kyun Kim, Yerubandi R. Rao, et al.. (2013). Can simple phosphorus mass balance models guide management decisions? A case study in the Bay of Quinte, Ontario, Canada. Ecological Modelling. 257. 66–79. 25 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christine Ridenour Breakdown of academic impact, for papers by Anthony R. Prestigiacomo Breakdown of academic impact, for papers by Zebin Tian Breakdown of academic impact, for papers by Rebecca M. Kreiling Breakdown of academic impact, for papers by Matt T. Trentman Breakdown of academic impact, for papers by Mary E. Ogdahl Breakdown of academic impact, for papers by Olli-Pekka Pietiläinen Breakdown of academic impact, for papers by Eleanor A. Stainsby Breakdown of academic impact, for papers by Marta Condé Lamparelli Breakdown of academic impact, for papers by Michael R. Penn
Rankless by CCL
2026