Emily Dolson
Impact in
-
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
- Genetics 15
- Evolution and Genetic Dynamics 15
- Genetic diversity and population structure 2
-
- Genomics and Phylogenetic Studies 4
- Gene Regulatory Network Analysis 3
- Co-authors
- Charles Ofria (15 shared papers)Alexander Lalejini (8 shared papers)Luis Zaman (5 shared papers)Michael J. Wiser (2 shared papers)David Baum (1 shared paper)Eric Smith (1 shared paper)Davis T. Weaver (2 shared papers)Masahiro Hitomi (1 shared paper)
- Journals
- Artificial Life (2 papers)Frontiers in Ecology and Evolution (1 paper)Science Advances (1 paper)Journal of The Royal Society Interface (1 paper)eLife (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Emily Dolson
26 papers receiving 102 citations
Peers
Comparison fields: 5 of 41
- General Dentistry 3
- Artificial Intelligence 47
- Genetics 30
- Computer Science Applications 4
- Molecular Biology 48
Countries citing papers authored by Emily Dolson
This map shows the geographic impact of Emily Dolson'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 Emily Dolson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Dolson more than expected).
Fields of papers citing papers by Emily Dolson
This network shows the impact of papers produced by Emily Dolson. 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 Emily Dolson. The network helps show where Emily Dolson may publish in the future.
Co-authors
The 24 scholars most cited alongside Emily Dolson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 23 | |
| 2 | 2020 | 16 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 8 | |
| 5 | 2019 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Emily Dolson
Emily Dolson is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 32 papers that have together received 106 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (15 papers), Evolutionary Algorithms and Applications (10 papers), Evolutionary Game Theory and Cooperation (7 papers), Genomics and Phylogenetic Studies (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Gene Regulatory Network Analysis (3 papers), Genetic diversity and population structure (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in General Dentistry (3 citations), Artificial Intelligence (47 citations), Genetics (30 citations), Computer Science Applications (4 citations) and Molecular Biology (48 citations). Emily Dolson has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Charles Ofria, Alexander Lalejini, Luis Zaman, Michael J. Wiser, David Baum, Eric Smith, Davis T. Weaver, Masahiro Hitomi, Curtis J. Donskey and Jacob G. Scott. Their work appears in journals such as Artificial Life, Frontiers in Ecology and Evolution, Science Advances, Journal of The Royal Society Interface and eLife.
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.