Aaditya V. Rangan

1.0k total citations
46 papers, 641 citations indexed

About

Aaditya V. Rangan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Aaditya V. Rangan has authored 46 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Aaditya V. Rangan's work include Neural dynamics and brain function (26 papers), stochastic dynamics and bifurcation (14 papers) and Neurobiology and Insect Physiology Research (7 papers). Aaditya V. Rangan is often cited by papers focused on Neural dynamics and brain function (26 papers), stochastic dynamics and bifurcation (14 papers) and Neurobiology and Insect Physiology Research (7 papers). Aaditya V. Rangan collaborates with scholars based in United States, China and North Korea. Aaditya V. Rangan's co-authors include David Cai, David W. McLaughlin, Douglas Zhou, Louis Tao, Lai-Sang Young, Gregor Kovačič, Yi Sun, Katherine A. Newhall, Dan Hu and Jiwei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Aaditya V. Rangan

43 papers receiving 628 citations

Peers

Aaditya V. Rangan

SNP

CMN

CNC

EEE

Zachary P. Kilpatrick United States

Changgui Gu China

Kazuyuki Aihara Japan

Ricardo Oliva United States

Michael A. Buice United States

Anna Levina Germany

Thomas Petermann Switzerland

Louis Tao China

Pulin Gong Australia

Valentin Zhigulin United States

Zachary P. Kilpatrick United States

Aaditya V. Rangan

459 ×1.0

257 ×0.8

SNP

130 ×0.6

CMN

175 ×1.4

CNC

74 ×0.7

EEE

Citations per year, relative to Aaditya V. Rangan Aaditya V. Rangan (= 1×) peers Zachary P. Kilpatrick

Countries citing papers authored by Aaditya V. Rangan

Since Specialization

Citations

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

Fields of papers citing papers by Aaditya V. Rangan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaditya V. Rangan. 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 Aaditya V. Rangan. The network helps show where Aaditya V. Rangan may publish in the future.

Co-authorship network of co-authors of Aaditya V. Rangan

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

All Works

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20 of 20 papers shown

Cossio, Pilar, et al.. (2025). A new statistical metric for robust target detection in cryo-EM using 2D template matching. IUCrJ. 12(2). 155–176. 1 indexed citations

Rangan, Aaditya V., et al.. (2025). Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. PLoS ONE. 20(1). e0314288–e0314288.

Elman, Jeremy A., et al.. (2024). Exploring the Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Genetic Subtypes. Journal of Alzheimer s Disease. 100(4). 1209–1226. 4 indexed citations

Rangan, Aaditya V. & Leslie Greengard. (2023). Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets. Journal of Structural Biology. 215(3). 107994–107994.

Rangan, Aaditya V., et al.. (2021). Olfactory encoding within the insect antennal lobe: The emergence and role of higher order temporal correlations in the dynamics of antennal lobe spiking activity. Journal of Theoretical Biology. 522. 110700–110700. 5 indexed citations

Rangan, Aaditya V., M. A. Spivak, Joakim Andén, & Alex H. Barnett. (2019). Factorization of the translation kernel for fast rigid image alignment. Inverse Problems. 36(2). 24001–24001. 6 indexed citations

Rangan, Aaditya V., et al.. (2017). Role of the locus coeruleus in the emergence of power law wake bouts in a model of the brainstem sleep-wake system through early infancy. Journal of Theoretical Biology. 426. 82–95. 6 indexed citations

Lei, Hong, et al.. (2016). Intrinsic and Network Mechanisms Constrain Neural Synchrony in the Moth Antennal Lobe. Frontiers in Physiology. 7. 80–80. 6 indexed citations

Rangan, Aaditya V., et al.. (2013). Coding of odors by temporal binding within a model network of the locust antennal lobe. Frontiers in Computational Neuroscience. 7. 50–50. 5 indexed citations

10.

Zhang, Jiwei, Katherine A. Newhall, Douglas Zhou, & Aaditya V. Rangan. (2013). Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks. Journal of Computational Neuroscience. 36(2). 279–295. 14 indexed citations

11.

Rangan, Aaditya V. & Lai-Sang Young. (2013). Emergent dynamics in a model of visual cortex. Journal of Computational Neuroscience. 35(2). 155–167. 28 indexed citations

12.

Rangan, Aaditya V.. (2012). Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe. PLoS Computational Biology. 8(8). e1002622–e1002622. 7 indexed citations

13.

Hu, Dan, David Cai, & Aaditya V. Rangan. (2012). Blood Vessel Adaptation with Fluctuations in Capillary Flow Distribution. PLoS ONE. 7(9). e45444–e45444. 24 indexed citations

14.

Cai, David, Gregor Kovačič, Peter R. Kramer, et al.. (2010). Dynamics of current-based, Poisson driven, integrate-and-fire neuronal networks. Communications in Mathematical Sciences. 8(2). 541–600. 36 indexed citations

15.

Rangan, Aaditya V.. (2009). Diagrammatic Expansion of Pulse-Coupled Network Dynamics. Physical Review Letters. 102(15). 158101–158101. 16 indexed citations

16.

Sun, Yi, Douglas Zhou, Aaditya V. Rangan, & David Cai. (2009). Library-based numerical reduction of the Hodgkin–Huxley neuron for network simulation. Journal of Computational Neuroscience. 27(3). 369–390. 14 indexed citations

17.

Kovačič, Gregor, Louis Tao, Aaditya V. Rangan, & David Cai. (2009). Fokker-Planck description of conductance-based integrate-and-fire neuronal networks. Physical Review E. 80(2). 21904–21904. 16 indexed citations

18.

Rangan, Aaditya V., Gregor Kovačič, & David Cai. (2008). Kinetic theory for neuronal networks with fast and slow excitatory conductances driven by the same spike train. Physical Review E. 77(4). 41915–41915. 25 indexed citations

19.

Rangan, Aaditya V. & David Cai. (2006). Maximum-Entropy Closures for Kinetic Theories of Neuronal Network Dynamics. Physical Review Letters. 96(17). 178101–178101. 40 indexed citations

20.

Rangan, Aaditya V. & David Cai. (2006). Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. Journal of Computational Neuroscience. 22(1). 81–100. 25 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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