Emily L. Mackevicius
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Developmental Biology top 2%
- Ecology, Evolution, Behavior and Systematics top 10%
- Ecology
- Co-authors
- Michale S. FeeSliman J. Bensmaı̈aHannes P. SaalMatthew BestTatsuo S. OkuboHannah L. PayneGalen F. LynchDmitriy Aronov
- Topics
- Animal Vocal Communication and Behavior (9 papers)Animal Behavior and Reproduction (7 papers)Marine animal studies overview (7 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesChina
In The Last Decade
Emily L. Mackevicius
14 papers receiving 349 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 228
- Cellular and Molecular Neuroscience 104
- Developmental Biology 101
- Ecology, Evolution, Behavior and Systematics 91
- Ecology 69
Countries citing papers authored by Emily L. Mackevicius
This map shows the geographic impact of Emily L. Mackevicius'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 L. Mackevicius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily L. Mackevicius more than expected).
Fields of papers citing papers by Emily L. Mackevicius
This network shows the impact of papers produced by Emily L. Mackevicius. 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 L. Mackevicius. The network helps show where Emily L. Mackevicius may publish in the future.
Co-authorship network of co-authors of Emily L. Mackevicius
This figure shows the co-authorship network connecting the top 25 collaborators of Emily L. Mackevicius. A scholar is included among the top collaborators of Emily L. Mackevicius 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 Emily L. Mackevicius. Emily L. Mackevicius 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 | 21 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 55 | |
| 8 | 16 | |
| 9 | Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird | 3 |
| 10 | Growth and splitting of neural sequences in songbird vocal development | 1 |
| 11 | 85 | |
| 12 | In Vivo Recording of Single-Unit Activity during Singing in Zebra Finches | 4 |
| 13 | 9 | |
| 14 | 114 |
About Emily L. Mackevicius
Emily L. Mackevicius is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 14 papers that have together received 355 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (9 papers), Animal Behavior and Reproduction (7 papers) and Marine animal studies overview (7 papers). The work is most often cited by research in Developmental Biology (101 citations), Cognitive Neuroscience (228 citations) and Cellular and Molecular Neuroscience (104 citations). Emily L. Mackevicius has collaborated with scholars based in United States and China. Frequent co-authors include Michale S. Fee, Sliman J. Bensmaı̈a, Hannes P. Saal, Matthew Best, Tatsuo S. Okubo, Hannah L. Payne, Galen F. Lynch, Dmitriy Aronov, Natalia Denisenko and Mark S. Goldman. Their work appears in journals such as Nature, Cell and Nature Communications.
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.