G Ranganathan

726 total citations
12 papers, 419 citations indexed

About

G Ranganathan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, G Ranganathan has authored 12 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in G Ranganathan's work include Neural dynamics and brain function (5 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neural Engineering (3 papers). G Ranganathan is often cited by papers focused on Neural dynamics and brain function (5 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neural Engineering (3 papers). G Ranganathan collaborates with scholars based in India, United States and Nepal. G Ranganathan's co-authors include Kaspar Podgorski, V. K. Muraleedharan Nair Bindhu, V. K. Muraleedharan Nair Bindhu, Helmut J. Koester, Shaul Druckmann, Mark T. Harnett, Jeffrey C. Magee, Ning-long Xu, Jennifer S. Raj and Anand Selvaraj and has published in prestigious journals such as Nature Neuroscience, Journal of Neurophysiology and Journal of Visualized Experiments.

In The Last Decade

G Ranganathan

12 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G Ranganathan India	8	146	126	108	83	65	12	419
Matthias Minderer United States	8	223 1.5×	331 2.6×	35 0.3×	191 2.3×	23 0.4×	11	684
N. Kasthuri India	9	34 0.2×	68 0.5×	70 0.6×	27 0.3×	41 0.6×	46	322
Jörg Lücke Germany	12	49 0.3×	207 1.6×	28 0.3×	101 1.2×	46 0.7×	43	609
Benjamin D. Haeffele United States	7	105 0.7×	149 1.2×	15 0.1×	52 0.6×	29 0.4×	22	327
Zhe Zhou China	8	48 0.3×	50 0.4×	35 0.3×	60 0.7×	55 0.8×	22	341
Anupam Garg United States	13	80 0.5×	133 1.1×	17 0.2×	113 1.4×	47 0.7×	30	604
E. Ratzlaff United States	6	136 0.9×	175 1.4×	21 0.2×	69 0.8×	18 0.3×	11	321
Tingwei Quan China	15	51 0.3×	57 0.5×	496 4.6×	68 0.8×	147 2.3×	41	697
Shuailei Zhang China	9	131 0.9×	244 1.9×	27 0.3×	26 0.3×	37 0.6×	18	430
Pouya Bashivan United States	8	41 0.3×	509 4.0×	58 0.5×	135 1.6×	13 0.2×	23	657

Countries citing papers authored by G Ranganathan

Since Specialization

Citations

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

Fields of papers citing papers by G Ranganathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Ranganathan

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

All Works

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12 of 12 papers shown

Selvaraj, Anand, et al.. (2022). In Vitro Comparison of Loss of Torque between Gold and Titanium Alloy Abutment Screws in Dental Implants without Any Cyclic Loads. The Journal of Contemporary Dental Practice. 23(8). 801–806. 3 indexed citations

Bindhu, V. K. Muraleedharan Nair & G Ranganathan. (2021). Hyperspectral Image Processing in Internet of Things model using Clustering Algorithm. 3(2). 163–175. 27 indexed citations

Ranganathan, G. (2021). A Study to Find Facts Behind Preprocessing on Deep Learning Algorithms. 3(1). 66–74. 86 indexed citations

Ranganathan, G, et al.. (2021). Energy Storage Capacity Expansion of Microgrids for a Long-Term. 3(1). 55–64. 9 indexed citations

Raj, Jennifer S. & G Ranganathan. (2021). Comparative Analysis of Modelling for Piezoelectric Energy Harvesting Solutions. 3(2). 138–153. 1 indexed citations

Ranganathan, G & V. K. Muraleedharan Nair Bindhu. (2021). Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules. 2(4). 162–167. 41 indexed citations

Ranganathan, G, et al.. (2018). Active dendritic integration and mixed neocortical network representations during an adaptive sensing behavior. Nature Neuroscience. 21(11). 1583–1590. 57 indexed citations

Podgorski, Kaspar & G Ranganathan. (2016). Brain heating induced by near-infrared lasers during multiphoton microscopy. Journal of Neurophysiology. 116(3). 1012–1023. 170 indexed citations

Ranganathan, G & Helmut J. Koester. (2012). Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution. Journal of Visualized Experiments. e4052–e4052. 1 indexed citations

10.

Ranganathan, G & Helmut J. Koester. (2011). Correlations Decrease with Propagation of Spiking Activity in the Mouse Barrel Cortex. Frontiers in Neural Circuits. 5. 8–8. 8 indexed citations

11.

Ranganathan, G, et al.. (2011). Impact of cortical plasticity on information signaled by populations of neurons in the cerebral cortex. Journal of Neurophysiology. 106(3). 1118–1124. 2 indexed citations

12.

Ranganathan, G & Helmut J. Koester. (2010). Optical Recording of Neuronal Spiking Activity From Unbiased Populations of Neurons With High Spike Detection Efficiency and High Temporal Precision. Journal of Neurophysiology. 104(3). 1812–1824. 14 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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