Emily Dolson
Impact in
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
- Genetics 20
- Evolution and Genetic Dynamics 20
- Genetic diversity and population structure 4
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- Genomics and Phylogenetic Studies 7
- Gene Regulatory Network Analysis 4
- CRISPR and Genetic Engineering 3
- Co-authors
- Charles Ofria (20 shared papers)Alexander Lalejini (15 shared papers)Luis Zaman (5 shared papers)Wolfgang Banzhaf (2 shared papers)Michael J. Wiser (2 shared papers)David Baum (1 shared paper)Daniel Junghans (1 shared paper)Jacob G. Scott (2 shared papers)
- 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
35 papers receiving 190 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 108
- General Dentistry 4
- Genetics 64
- Molecular Biology 99
- Computer Science Applications 5
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 25 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 33 | |
| 2 | 2020 | 17 | |
| 3 | 2022 | 15 | |
| 4 | 2019 | 14 | |
| 5 | 2020 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
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 40 papers that have together received 193 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (20 papers), Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (7 papers), Genomics and Phylogenetic Studies (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Gene Regulatory Network Analysis (4 papers), Genetic diversity and population structure (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Artificial Intelligence (108 citations), General Dentistry (4 citations), Genetics (64 citations), Molecular Biology (99 citations) and Computer Science Applications (5 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, Wolfgang Banzhaf, Michael J. Wiser, David Baum, Daniel Junghans, Jacob G. Scott, Davis T. Weaver and Eric Smith. 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.