Michael Stemkovski
- Ecology, Evolution, Behavior and Systematics top 10%
- Modeling and Simulation top 5%
- Genetics
- Insect Science top 10%
- Ecological Modeling top 10%
- Co-authors
- William D. PearseRebecca E. IrwinDavid W. InouyeTom SmithBrian D. InouyeGabriella L. PardeeSean R. GriffinH. Juliette T. Unwin
- Topics
- Plant and animal studies (5 papers)Aquatic Ecosystems and Phytoplankton Dynamics (4 papers)Insect and Pesticide Research (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Stemkovski
12 papers receiving 243 citations
Peers
Comparison fields: 5 of 66
- Ecology, Evolution, Behavior and Systematics 99
- Modeling and Simulation 59
- Genetics 53
- Insect Science 47
- Ecological Modeling 44
Countries citing papers authored by Michael Stemkovski
This map shows the geographic impact of Michael Stemkovski'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 Stemkovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Stemkovski more than expected).
Fields of papers citing papers by Michael Stemkovski
This network shows the impact of papers produced by Michael Stemkovski. 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 Stemkovski. The network helps show where Michael Stemkovski may publish in the future.
Co-authorship network of co-authors of Michael Stemkovski
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Stemkovski. A scholar is included among the top collaborators of Michael Stemkovski 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 Stemkovski. Michael Stemkovski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 26 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 84 | |
| 8 | 71 | |
| 9 | 17 | |
| 10 | Standard and proportional error model comparison for logistic growth of green algae (Raphidocelis subcapiala) | 2 |
| 11 | 11 | |
| 12 | 12 |
About Michael Stemkovski
Michael Stemkovski is a scholar working on Ecological Modeling, Environmental Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 254 indexed citations. Recurring topics across this work include Plant and animal studies (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Modeling and Simulation (59 citations), Ecological Modeling (44 citations) and Ecology, Evolution, Behavior and Systematics (99 citations). Michael Stemkovski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William D. Pearse, Rebecca E. Irwin, David W. Inouye, Tom Smith, Brian D. Inouye, Gabriella L. Pardee, Sean R. Griffin, H. Juliette T. Unwin, Lorenzo Cattarino and Michael Tristem. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ecology and The American Naturalist.
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.