Matthew J. Kaylor
- Ecology top 5%
- Nature and Landscape Conservation top 5%
- Pollution top 5%
- Industrial and Manufacturing Engineering top 5%
- Global and Planetary Change top 10%
- Co-authors
- Dana R. WarrenSteven L. ColbertHenry S. CarsonKarla J. McDermidWilliam J. RippleJames A. EstesDavid S. TaylorOswald J. Schmitz
- Topics
- Fish Ecology and Management Studies (19 papers)Freshwater macroinvertebrate diversity and ecology (11 papers)Hydrology and Watershed Management Studies (6 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Matthew J. Kaylor
21 papers receiving 844 citations
Peers
Comparison fields: 5 of 62
- Ecology 451
- Nature and Landscape Conservation 336
- Pollution 287
- Industrial and Manufacturing Engineering 196
- Global and Planetary Change 107
Countries citing papers authored by Matthew J. Kaylor
This map shows the geographic impact of Matthew J. Kaylor'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 Matthew J. Kaylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Kaylor more than expected).
Fields of papers citing papers by Matthew J. Kaylor
This network shows the impact of papers produced by Matthew J. Kaylor. 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 Matthew J. Kaylor. The network helps show where Matthew J. Kaylor may publish in the future.
Co-authorship network of co-authors of Matthew J. Kaylor
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Kaylor. A scholar is included among the top collaborators of Matthew J. Kaylor 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 Matthew J. Kaylor. Matthew J. Kaylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 38 | |
| 15 | 9 | |
| 16 | 218 | |
| 17 | 29 | |
| 18 | 67 | |
| 19 | 47 | |
| 20 | 294 |
About Matthew J. Kaylor
Matthew J. Kaylor is a scholar working on Nature and Landscape Conservation, Ecology and Water Science and Technology, having authored 22 papers that have together received 862 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (19 papers), Freshwater macroinvertebrate diversity and ecology (11 papers) and Hydrology and Watershed Management Studies (6 papers). The work is most often cited by research in Nature and Landscape Conservation (336 citations), Pollution (287 citations) and Industrial and Manufacturing Engineering (196 citations). Matthew J. Kaylor has collaborated with scholars based in United States and Canada. Frequent co-authors include Dana R. Warren, Steven L. Colbert, Henry S. Carson, Karla J. McDermid, William J. Ripple, James A. Estes, David S. Taylor, Oswald J. Schmitz, Vanessa Constant and Christopher Wolf. Their work appears in journals such as Trends in Ecology & Evolution, BioScience and Journal of Animal Ecology.
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.