Nirag Kadakia

409 total citations
13 papers, 174 citations indexed

About

Nirag Kadakia is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Molecular Biology. According to data from OpenAlex, Nirag Kadakia has authored 13 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in Nirag Kadakia's work include Insect Pheromone Research and Control (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Plant and animal studies (3 papers). Nirag Kadakia is often cited by papers focused on Insect Pheromone Research and Control (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Plant and animal studies (3 papers). Nirag Kadakia collaborates with scholars based in United States, Netherlands and Taiwan. Nirag Kadakia's co-authors include Thierry Emonet, Damon A. Clark, Mahmut Demir, Henry D. I. Abarbanel, Daniel Rey, Matthew A. Reidenbach, Daniel Margoliash, Ye J, Thomas Shimizu and Kiri Choi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and eLife.

In The Last Decade

Nirag Kadakia

13 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirag Kadakia United States 7 86 64 39 38 31 13 174
Rich Pang United States 7 126 1.5× 36 0.6× 44 1.1× 55 1.4× 5 0.2× 10 196
Nicole Voges France 11 141 1.6× 64 1.0× 9 0.2× 18 0.5× 34 1.1× 18 321
Mahmut Demir United States 8 144 1.7× 104 1.6× 50 1.3× 69 1.8× 6 0.2× 10 252
Marcella Noorman United States 5 163 1.9× 18 0.3× 51 1.3× 91 2.4× 4 0.1× 9 236
Benjamin D. Pedigo United States 5 85 1.0× 10 0.2× 25 0.6× 39 1.0× 16 0.5× 9 200
Mirna Mihovilovic Skanata United States 7 105 1.2× 17 0.3× 34 0.9× 43 1.1× 3 0.1× 12 361
Mattia G. Bergomi Italy 4 15 0.2× 11 0.2× 45 1.2× 31 0.8× 11 0.4× 13 269
Cyrille C. Girardin Switzerland 7 135 1.6× 10 0.2× 54 1.4× 36 0.9× 6 0.2× 8 185
Ana Correia United Kingdom 4 80 0.9× 10 0.2× 23 0.6× 34 0.9× 9 0.3× 6 178
Heather G. Patsolic United States 2 75 0.9× 10 0.2× 23 0.6× 32 0.8× 9 0.3× 3 161

Countries citing papers authored by Nirag Kadakia

Since Specialization
Citations

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

Fields of papers citing papers by Nirag Kadakia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirag Kadakia

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

All Works

13 of 13 papers shown
1.
Choi, Kiri, et al.. (2024). Bifurcation Enhances Temporal Information Encoding in the Olfactory Periphery. PubMed. 2(4). 4 indexed citations
2.
Kadakia, Nirag, et al.. (2023). Optimal inference of molecular interaction dynamics in FRET microscopy. Proceedings of the National Academy of Sciences. 120(15). e2211807120–e2211807120. 5 indexed citations
3.
Kadakia, Nirag, et al.. (2023). Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments. PLoS Computational Biology. 19(5). e1010606–e1010606. 5 indexed citations
4.
Kadakia, Nirag, et al.. (2022). Odour motion sensing enhances navigation of complex plumes. Nature. 611(7937). 754–761. 30 indexed citations
5.
Kadakia, Nirag. (2022). Optimal control methods for nonlinear parameter estimation in biophysical neuron models. PLoS Computational Biology. 18(9). e1010479–e1010479. 3 indexed citations
6.
7.
Kadakia, Nirag & Thierry Emonet. (2019). Front-end Weber-Fechner gain control enhances the fidelity of combinatorial odor coding. eLife. 8. 8 indexed citations
8.
Kadakia, Nirag. (2017). The Dynamics of Nonlinear Inference. eScholarship (California Digital Library). 1 indexed citations
9.
Abarbanel, Henry D. I., et al.. (2017). A unifying view of synchronization for data assimilation in complex nonlinear networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(12). 126802–126802. 12 indexed citations
10.
Kadakia, Nirag, et al.. (2016). Nonlinear statistical data assimilation for HVC $$_{\mathrm{RA}}$$ RA neurons in the avian song system. Biological Cybernetics. 110(6). 417–434. 13 indexed citations
11.
Kadakia, Nirag, Daniel Rey, Ye J, & Henry D. I. Abarbanel. (2016). Symplectic structure of statistical variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 143(703). 756–771. 3 indexed citations
12.
J, Ye, et al.. (2015). Improved variational methods in statistical data assimilation. Nonlinear processes in geophysics. 22(2). 205–213. 12 indexed citations
13.
Rey, Daniel, et al.. (2015). Systematic variational method for statistical nonlinear state and parameter estimation. Physical Review E. 92(5). 52901–52901. 26 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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2026