C. Daniel Meliza

837 total citations
24 papers, 559 citations indexed

About

C. Daniel Meliza is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, C. Daniel Meliza has authored 24 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Developmental Biology, 13 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Ecology. Recurrent topics in C. Daniel Meliza's work include Animal Vocal Communication and Behavior (14 papers), Animal Behavior and Reproduction (12 papers) and Marine animal studies overview (10 papers). C. Daniel Meliza is often cited by papers focused on Animal Vocal Communication and Behavior (14 papers), Animal Behavior and Reproduction (12 papers) and Marine animal studies overview (10 papers). C. Daniel Meliza collaborates with scholars based in United States, United Kingdom and Russia. C. Daniel Meliza's co-authors include Daniel Margoliash, Yang Dan, Henry D. I. Abarbanel, Mark Kostuk, Dustin R. Rubenstein, Sara Keen, Bethe A. Scalettar, Alain Nogaret, Janis E. Lochner and Hao Huang and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

C. Daniel Meliza

21 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Daniel Meliza United States 13 246 167 160 131 117 24 559
Robert Egger Germany 12 389 1.6× 61 0.4× 304 1.9× 63 0.5× 36 0.3× 17 578
Michel A. Picardo United States 12 628 2.6× 89 0.5× 625 3.9× 81 0.6× 48 0.4× 14 951
Juan Carlos Letelier Chile 11 348 1.4× 80 0.5× 217 1.4× 93 0.7× 35 0.3× 18 620
Lyubov Ushakova Austria 10 236 1.0× 41 0.2× 175 1.1× 33 0.3× 74 0.6× 13 477
Deana A. Bodnar United States 11 219 0.9× 198 1.2× 138 0.9× 80 0.6× 205 1.8× 15 541
Gary Marsat Canada 13 318 1.3× 59 0.4× 235 1.5× 113 0.9× 48 0.4× 24 548
Marie L. Goeritz United States 12 275 1.1× 28 0.2× 433 2.7× 43 0.3× 148 1.3× 16 607
Joergen Kornfeld Germany 11 149 0.6× 68 0.4× 100 0.6× 69 0.5× 49 0.4× 13 628
Leandro M. Alonso United States 11 222 0.9× 54 0.3× 116 0.7× 53 0.4× 50 0.4× 13 343
Ziying Fu China 12 165 0.7× 78 0.5× 69 0.4× 86 0.7× 93 0.8× 53 402

Countries citing papers authored by C. Daniel Meliza

Since Specialization
Citations

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

Fields of papers citing papers by C. Daniel Meliza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Daniel Meliza

This figure shows the co-authorship network connecting the top 25 collaborators of C. Daniel Meliza. A scholar is included among the top collaborators of C. Daniel Meliza 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 C. Daniel Meliza. C. Daniel Meliza 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.
Meliza, C. Daniel, et al.. (2025). Model Predictive Control on the Neural Manifold. Neural Computation. 37(12). 2125–2157.
2.
Meliza, C. Daniel, et al.. (2024). Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting. Journal of Neural Engineering. 21(5). 56014–56014. 1 indexed citations
3.
Meliza, C. Daniel, et al.. (2024). A Complex Acoustical Environment During Development Enhances Auditory Perception and Coding Efficiency in the Zebra Finch. Journal of Neuroscience. 45(7). e1269242024–e1269242024.
4.
Lü, Yao, et al.. (2023). Rapid, Activity-Dependent Intrinsic Plasticity in the Developing Zebra Finch Auditory Cortex. Journal of Neuroscience. 43(41). 6872–6883.
5.
Meliza, C. Daniel, et al.. (2021). Nonlinear effects of intrinsic dynamics on temporal encoding in a model of avian auditory cortex. PLoS Computational Biology. 17(2). e1008768–e1008768. 1 indexed citations
6.
Meliza, C. Daniel, et al.. (2020). Experience- and Sex-Dependent Intrinsic Plasticity in the Zebra Finch Auditory Cortex during Song Memorization. Journal of Neuroscience. 40(10). 2047–2055. 7 indexed citations
7.
Meliza, C. Daniel, et al.. (2019). A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex. PLoS Computational Biology. 15(1). e1006723–e1006723. 3 indexed citations
8.
Meliza, C. Daniel, et al.. (2017). Phasic and tonic cell types in the zebra finch auditory caudal mesopallium. Journal of Neurophysiology. 119(3). 1127–1139. 11 indexed citations
9.
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
10.
Keen, Sara, C. Daniel Meliza, Julia Pilowsky, & Dustin R. Rubenstein. (2016). Song in a Social and Sexual Context: Vocalizations Signal Identity and Rank in Both Sexes of a Cooperative Breeder. Frontiers in Ecology and Evolution. 4. 7 indexed citations
11.
Meliza, C. Daniel, et al.. (2014). Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biological Cybernetics. 108(3). 261–273. 4 indexed citations
12.
Meliza, C. Daniel, Mark Kostuk, Hao Huang, et al.. (2014). Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biological Cybernetics. 108(4). 495–516. 52 indexed citations
13.
Keen, Sara, C. Daniel Meliza, & Dustin R. Rubenstein. (2013). Flight calls signal group and individual identity but not kinship in a cooperatively breeding bird. Behavioral Ecology. 24(6). 1279–1285. 29 indexed citations
14.
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
15.
Meliza, C. Daniel & Daniel Margoliash. (2012). Emergence of Selectivity and Tolerance in the Avian Auditory Cortex. Journal of Neuroscience. 32(43). 15158–15168. 51 indexed citations
16.
Adret, Patrice, C. Daniel Meliza, & Daniel Margoliash. (2012). Song tutoring in presinging zebra finch juveniles biases a small population of higher-order song-selective neurons toward the tutor song. Journal of Neurophysiology. 108(7). 1977–1987. 24 indexed citations
17.
Kostuk, Mark, et al.. (2011). Dynamical estimation of neuron and network properties I: variational methods. Biological Cybernetics. 105(3-4). 217–237. 39 indexed citations
18.
Meliza, C. Daniel, Zhiyi Chi, & Daniel Margoliash. (2009). Representations of Conspecific Song by Starling Secondary Forebrain Auditory Neurons: Toward a Hierarchical Framework. Journal of Neurophysiology. 103(3). 1195–1208. 25 indexed citations
19.
Meliza, C. Daniel & Yang Dan. (2006). Receptive-Field Modification in Rat Visual Cortex Induced by Paired Visual Stimulation and Single-Cell Spiking. Neuron. 49(2). 183–189. 105 indexed citations
20.
Lochner, Janis E., et al.. (1998). Real-Time Imaging of the Axonal Transport of Granules Containing a Tissue Plasminogen Activator/Green Fluorescent Protein Hybrid. Molecular Biology of the Cell. 9(9). 2463–2476. 76 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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