Daniel Margoliash

8.6k total citations · 3 hit papers
86 papers, 5.9k citations indexed

About

Daniel Margoliash is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Daniel Margoliash has authored 86 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Developmental Biology, 52 papers in Ecology, Evolution, Behavior and Systematics and 44 papers in Ecology. Recurrent topics in Daniel Margoliash's work include Animal Vocal Communication and Behavior (66 papers), Animal Behavior and Reproduction (49 papers) and Marine animal studies overview (44 papers). Daniel Margoliash is often cited by papers focused on Animal Vocal Communication and Behavior (66 papers), Animal Behavior and Reproduction (49 papers) and Marine animal studies overview (44 papers). Daniel Margoliash collaborates with scholars based in United States, Lebanon and Argentina. Daniel Margoliash's co-authors include Eric S. Fortune, Howard C. Nusbaum, Kimberly M. Fenn, Albert Cheung Hoi Yu, Amish S. Dave, Timothy Q. Gentner, Joseph Kogan, Zhiyi Chi, Kathy W. Nordeen and Eliot A. Brenowitz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel Margoliash

85 papers receiving 5.7k citations

Hit Papers

Temporal Hierarchical Control of Singing in Birds 1983 2026 1997 2011 1996 1983 2006 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Margoliash United States 36 4.0k 3.3k 2.8k 1.7k 555 86 5.9k
Allison J. Doupe United States 36 4.5k 1.1× 3.8k 1.1× 3.0k 1.1× 1.5k 0.9× 358 0.6× 49 6.0k
Kazuo Okanoya Japan 37 3.4k 0.8× 2.6k 0.8× 1.8k 0.7× 1.5k 0.9× 726 1.3× 361 6.3k
Michael S. Brainard United States 32 2.9k 0.7× 2.4k 0.7× 1.9k 0.7× 1.2k 0.7× 446 0.8× 52 4.3k
Masakazu Konishi United States 45 4.2k 1.0× 3.2k 1.0× 2.8k 1.0× 2.2k 1.3× 371 0.7× 91 6.9k
Johan J. Bolhuis Netherlands 40 2.7k 0.7× 2.4k 0.7× 1.6k 0.6× 1.5k 0.9× 473 0.9× 120 5.7k
Frédéric E. Theunissen United States 41 1.9k 0.5× 1.5k 0.5× 1.2k 0.4× 4.5k 2.7× 671 1.2× 77 6.9k
Stewart H. Hulse United States 34 1.4k 0.3× 1.1k 0.3× 827 0.3× 1.8k 1.1× 465 0.8× 87 4.2k
Ofer Tchernichovski United States 27 2.3k 0.6× 1.9k 0.6× 1.5k 0.5× 466 0.3× 126 0.2× 51 2.9k
Michale S. Fee United States 44 3.3k 0.8× 2.9k 0.9× 2.2k 0.8× 2.5k 1.5× 146 0.3× 81 7.4k
Timothy Q. Gentner United States 26 1.5k 0.4× 1.2k 0.4× 920 0.3× 524 0.3× 180 0.3× 61 2.3k

Countries citing papers authored by Daniel Margoliash

Since Specialization
Citations

This map shows the geographic impact of Daniel Margoliash'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 Daniel Margoliash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Margoliash more than expected).

Fields of papers citing papers by Daniel Margoliash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Margoliash. 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 Daniel Margoliash. The network helps show where Daniel Margoliash may publish in the future.

Co-authorship network of co-authors of Daniel Margoliash

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Margoliash. A scholar is included among the top collaborators of Daniel Margoliash 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 Daniel Margoliash. Daniel Margoliash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Margoliash, Daniel, et al.. (2021). Intrinsic plasticity and birdsong learning. Neurobiology of Learning and Memory. 180. 107407–107407. 8 indexed citations
2.
Margoliash, Daniel, et al.. (2020). Budgerigars have complex sleep structure similar to that of mammals. PLoS Biology. 18(11). e3000929–e3000929. 14 indexed citations
3.
Margoliash, Daniel, et al.. (2020). Intrinsic neuronal properties represent song and error in zebra finch vocal learning. Nature Communications. 11(1). 952–952. 17 indexed citations
4.
Nogaret, Alain, C. Daniel Meliza, Daniel Margoliash, & Henry D. I. Abarbanel. (2016). Automatic Construction of Predictive Neuron Models through Large Scale Assimilation of Electrophysiological Data. Scientific Reports. 6(1). 32749–32749. 26 indexed citations
5.
Margoliash, Daniel, et al.. (2014). A Bird’s Eye View of Sleep-Dependent Memory Consolidation. Current topics in behavioral neurosciences. 25. 207–237. 13 indexed citations
6.
Amador, Ana, Yonatan Sanz Perl, Gabriel B. Mindlin, & Daniel Margoliash. (2013). Elemental gesture dynamics are encoded by song premotor cortical neurons. Nature. 495(7439). 59–64. 131 indexed citations
7.
Kostuk, Mark, et al.. (2012). Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods. Biological Cybernetics. 106(3). 155–167. 32 indexed citations
8.
Margoliash, Daniel. (2010). Sleep and Learning. Bulletin of the American Physical Society. 2010. 1 indexed citations
9.
Margoliash, Daniel. (2010). Sleep, Learning, and Birdsong. ILAR Journal. 51(4). 378–386. 20 indexed citations
10.
Nusbaum, Howard C., et al.. (2010). Sleep-Dependent Consolidation of Auditory Discrimination Learning in Adult Starlings. Journal of Neuroscience. 30(2). 609–613. 38 indexed citations
11.
Fenn, Kimberly M., et al.. (2010). Consolidating the Effects of Waking and Sleep on Motor-Sequence Learning. Journal of Neuroscience. 30(42). 13977–13982. 113 indexed citations
12.
Margoliash, Daniel & Howard C. Nusbaum. (2009). Language: the perspective from organismal biology. Trends in Cognitive Sciences. 13(12). 505–510. 23 indexed citations
13.
Margoliash, Daniel & Marc F. Schmidt. (2009). Sleep, off-line processing, and vocal learning. Brain and Language. 115(1). 45–58. 51 indexed citations
14.
Fenn, Kimberly M., et al.. (2008). Consolidation of sensorimotor learning during sleep. Learning & Memory. 15(11). 815–819. 38 indexed citations
15.
Fenn, Kimberly M., et al.. (2007). Complex Acoustic Pattern Learning in Songbirds and Humans. eScholarship (California Digital Library). 29(29). 1 indexed citations
16.
Fenn, Kimberly M., Howard C. Nusbaum, & Daniel Margoliash. (2003). Consolidation during sleep of perceptual learning of spoken language. Nature. 425(6958). 614–616. 305 indexed citations
17.
Shea, Stephen D. & Daniel Margoliash. (2003). Basal Forebrain Cholinergic Modulation of Auditory Activity in the Zebra Finch Song System. Neuron. 40(6). 1213–1226. 44 indexed citations
18.
Margoliash, Daniel. (2002). Evaluating theories of bird song learning: implications for future directions. Journal of Comparative Physiology A. 188(11-12). 851–866. 46 indexed citations
19.
Chi, Zhiyi, et al.. (2002). Pattern Filtering for Detection of Replayed Patterns in HVc Sleep Activity. SSRN Electronic Journal. 1 indexed citations
20.
Margoliash, Daniel. (1997). Distributed Time-Domain Representations in the Birdsong System. Neuron. 19(5). 963–966. 10 indexed citations

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.

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