Jeffrey E. Markowitz
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Developmental Biology top 2%
- Social Psychology top 10%
- Co-authors
- Timothy J. GardnerSandeep Robert DattaGrigori GuitchountsWilliam A. LibertiWinthrop F. GillisRalph E. PetersonBernardo L. SabatiniScott W. Linderman
- Topics
- Neural dynamics and brain function (14 papers)Animal Vocal Communication and Behavior (7 papers)Animal Behavior and Reproduction (6 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Jeffrey E. Markowitz
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 586
- Cognitive Neuroscience 573
- Ecology, Evolution, Behavior and Systematics 168
- Developmental Biology 162
- Social Psychology 126
Countries citing papers authored by Jeffrey E. Markowitz
This map shows the geographic impact of Jeffrey E. Markowitz'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 Jeffrey E. Markowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey E. Markowitz more than expected).
Fields of papers citing papers by Jeffrey E. Markowitz
This network shows the impact of papers produced by Jeffrey E. Markowitz. 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 Jeffrey E. Markowitz. The network helps show where Jeffrey E. Markowitz may publish in the future.
Co-authorship network of co-authors of Jeffrey E. Markowitz
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey E. Markowitz. A scholar is included among the top collaborators of Jeffrey E. Markowitz 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 Jeffrey E. Markowitz. Jeffrey E. Markowitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | Spontaneous behaviour is structured by reinforcement without explicit rewardbreakdown → | 90 |
| 4 | 50 | |
| 5 | 46 | |
| 6 | 133 | |
| 7 | BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos | 31 |
| 8 | 6 | |
| 9 | 224 | |
| 10 | 134 | |
| 11 | 7 | |
| 12 | 71 | |
| 13 | 15 | |
| 14 | 45 | |
| 15 | 174 | |
| 16 | 57 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 34 | |
| 20 | 17 |
About Jeffrey E. Markowitz
Jeffrey E. Markowitz is a scholar working on Developmental Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Animal Vocal Communication and Behavior (7 papers) and Animal Behavior and Reproduction (6 papers). The work is most often cited by research in Developmental Biology (162 citations), Cellular and Molecular Neuroscience (586 citations) and Cognitive Neuroscience (573 citations). Jeffrey E. Markowitz has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Timothy J. Gardner, Sandeep Robert Datta, Grigori Guitchounts, William A. Liberti, Winthrop F. Gillis, Ralph E. Peterson, Bernardo L. Sabatini, Scott W. Linderman, Keiramarie Robertson and Shay Q. Neufeld. Their work appears in journals such as Nature, Cell and Neuron.
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.