Rishikesh Narayanan

2.7k citations
63 papers · 1.8k · h-index 25

Impact in

Papers in

Rishikesh Narayanan

59 papers receiving 1.7k citations

Peers

Rishikesh Narayanan
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 1.3k
  • Developmental Neuroscience 80
  • Neurology 100
  • Sensory Systems 37
Replace Élodie Fino with:
Élodie Fino France
Isabelle Férézou France
Andrew J. Trevelyan United Kingdom
Sonia Gasparini United States
Luc J. Gentet France
Nikolaus Maier Germany
Tiago Branco United Kingdom
Thomas K. Berger Germany
Judit K. Makara Hungary
Vladimir Itskov United States
Rishikesh Narayanan relative to Élodie Fino France Élodie Fino's profile →
Citations per field
00.5×1.5×1.8×
Élodie Fino · 1×
Citations per year

Countries citing papers authored by Rishikesh Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Rishikesh Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rishikesh Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rishikesh Narayanan Line = papers co-authored together Rishikesh Narayanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007216
2 2008143
3 2008133
4 201077
5 201070
6 201461
7 201256
8 201251
9 201949
10 201543
11 201539
12 201334
13 201433
14 202331
15 201730
16 201530
17 201629
18 201329
19 201828
20 201027

About Rishikesh Narayanan

Rishikesh Narayanan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Electrical and Electronic Engineering, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (50 papers), Neuroscience and Neuropharmacology Research (50 papers), Neuroscience and Neural Engineering (16 papers), Memory and Neural Mechanisms (13 papers), Photoreceptor and optogenetics research (12 papers), Ion channel regulation and function (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.3k citations), Developmental Neuroscience (80 citations), Neurology (100 citations) and Sensory Systems (37 citations). Rishikesh Narayanan has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Daniel Johnston, Rahul Kumar Rathour, Poonam Mishra, Sufyan Ashhad, Kevin J. Dougherty, Sumantra Chattarji, A. C. JAIN, Ruchi Malik, Peter Jedlička and Jochen Triesch. Their work appears in journals such as Journal of Neurophysiology, The Journal of Physiology, Journal of Neuroscience, Neuron and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact