Manu V Nair

511 total citations · 1 hit paper
8 papers, 366 citations indexed

About

Manu V Nair is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Manu V Nair has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Manu V Nair's work include Advanced Memory and Neural Computing (8 papers), Photoreceptor and optogenetics research (4 papers) and Neural dynamics and brain function (4 papers). Manu V Nair is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Photoreceptor and optogenetics research (4 papers) and Neural dynamics and brain function (4 papers). Manu V Nair collaborates with scholars based in Switzerland, United Kingdom and Italy. Manu V Nair's co-authors include Giacomo Indiveri, Melika Payvand, Lorenz K. Müller, Rohit Abraham John, Peng Zeng, Piotr Dudek, Thomas Lippert, Yevhen Shynkarenko, Ivan Shorubalko and G. A. Cooke and has published in prestigious journals such as Nature Communications, Nanotechnology and Faraday Discussions.

In The Last Decade

Manu V Nair

7 papers receiving 362 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing

2022 219 citations Rohit Abraham John, Yiğit Demirağ et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manu V Nair Switzerland	6	355	122	101	83	79	8	366
See‐On Park South Korea	6	384 1.1×	161 1.3×	76 0.8×	60 0.7×	100 1.3×	11	398
Sandip Lashkare India	10	388 1.1×	117 1.0×	59 0.6×	58 0.7×	60 0.8×	46	398
Selina La Barbera France	6	518 1.5×	286 2.3×	118 1.2×	93 1.1×	67 0.8×	8	529
Matteo Farronato Italy	9	325 0.9×	96 0.8×	73 0.7×	43 0.5×	89 1.1×	19	348
Felix Cüppers Germany	9	495 1.4×	227 1.9×	77 0.8×	70 0.8×	39 0.5×	17	521
Hakcheon Jeong South Korea	7	374 1.1×	138 1.1×	70 0.7×	54 0.7×	94 1.2×	14	392
Pankaj Kumbhare India	13	460 1.3×	129 1.1×	65 0.6×	85 1.0×	67 0.8×	25	462
N. Ghenzi Argentina	14	367 1.0×	130 1.1×	72 0.7×	90 1.1×	44 0.6×	35	382
Sangheon Oh United States	10	441 1.2×	161 1.3×	85 0.8×	84 1.0×	108 1.4×	27	485
Jue Xiong China	5	517 1.5×	299 2.5×	90 0.9×	114 1.4×	102 1.3×	7	537

Countries citing papers authored by Manu V Nair

Since Specialization

Citations

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

Fields of papers citing papers by Manu V Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manu V Nair

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

All Works

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8 of 8 papers shown

1.

Indiveri, Giacomo, et al.. (2024). Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons. 376–380.

2.

John, Rohit Abraham, Yiğit Demirağ, Yevhen Shynkarenko, et al.. (2022). Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing. Nature Communications. 13(1). 2074–2074. 219 indexed citations breakdown →

3.

Brivio, Stefano, David V. Conti, Manu V Nair, et al.. (2018). Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics. Nanotechnology. 30(1). 15102–15102. 28 indexed citations

4.

Payvand, Melika, Manu V Nair, Lorenz K. Müller, & Giacomo Indiveri. (2018). A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation. Faraday Discussions. 213(0). 487–510. 57 indexed citations

5.

Nair, Manu V, Lorenz K. Müller, & Giacomo Indiveri. (2017). A differential memristive synapse circuit for on-line learning in neuromorphic computing systems. Nano Futures. 1(3). 35003–35003. 30 indexed citations

6.

Müller, Lorenz K., Manu V Nair, & Giacomo Indiveri. (2017). Randomized unregulated step descent for limited precision synaptic elements. 5. 1–4. 5 indexed citations

7.

Nair, Manu V & Piotr Dudek. (2015). Practical gradient-descent for memristive crossbars. Research Explorer (The University of Manchester). 4. 1–2. 1 indexed citations

8.

Nair, Manu V & Piotr Dudek. (2015). Gradient-descent-based learning in memristive crossbar arrays. Research Explorer (The University of Manchester). 1–7. 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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