Mark V. Lomolino
- Ecology top 0.2%
- Nature and Landscape Conservation top 0.2%
- Ecological Modeling top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Genetics top 2%
- Co-authors
- Rob ChannellJames H. BrownGregory A. SmithDov F. SaxRussell DavisAlexandra van der GeerBrett R. RiddleMaría Rita Palombo
- Topics
- Wildlife Ecology and Conservation (46 papers)Animal Ecology and Behavior Studies (34 papers)Ecology and Vegetation Dynamics Studies (34 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Mark V. Lomolino
87 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Ecology 3.9k
- Nature and Landscape Conservation 2.9k
- Ecological Modeling 2.0k
- Ecology, Evolution, Behavior and Systematics 1.9k
- Genetics 1.1k
Countries citing papers authored by Mark V. Lomolino
This map shows the geographic impact of Mark V. Lomolino'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 V. Lomolino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Lomolino more than expected).
Fields of papers citing papers by Mark V. Lomolino
This network shows the impact of papers produced by Mark V. Lomolino. 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 V. Lomolino. The network helps show where Mark V. Lomolino may publish in the future.
Co-authorship network of co-authors of Mark V. Lomolino
This figure shows the co-authorship network connecting the top 25 collaborators of Mark V. Lomolino. A scholar is included among the top collaborators of Mark V. Lomolino 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 V. Lomolino. Mark V. Lomolino 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 | 13 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 0 | |
| 9 | 34 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 46 | |
| 13 | 37 | |
| 14 | 43 | |
| 15 | 37 | |
| 16 | 102 | |
| 17 | Foundations of Biogeography: Classic Papers with Commentaries | 35 |
| 18 | 31 | |
| 19 | 58 | |
| 20 | 54 |
About Mark V. Lomolino
Mark V. Lomolino is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 90 papers that have together received 6.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (46 papers), Animal Ecology and Behavior Studies (34 papers) and Ecology and Vegetation Dynamics Studies (34 papers). The work is most often cited by research in Ecological Modeling (2.0k citations), Nature and Landscape Conservation (2.9k citations) and Ecology (3.9k citations). Mark V. Lomolino has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Rob Channell, James H. Brown, Gregory A. Smith, Dov F. Sax, Russell Davis, Alexandra van der Geer, Brett R. Riddle, María Rita Palombo, J. Curtis Creighton and George Lyras. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.