P. Parmananda

2.8k citations
156 papers · 2.3k · h-index 29

Impact in

Papers in

P. Parmananda

148 papers receiving 2.2k citations

Peers

P. Parmananda
Comparison fields: 5 of 91
  • Statistical and Nonlinear Physics 1.5k
  • Computer Networks and Communications 1.5k
  • Cognitive Neuroscience 411
  • Condensed Matter Physics 209
  • Electrochemistry 99
Replace Valery Petrov with:
Valery Petrov United States
D. G. Luchinsky United Kingdom
Harald Engel Germany
R. Stoop Switzerland
Alberto P. Muñuzuri Spain
Silvina Ponce Dawson Argentina
Hiroaki Daido Japan
D. V. Senthilkumar India
Martin Bier United States
Mark R. Tinsley United States
P. Parmananda relative to Valery Petrov United States Valery Petrov's profile →
Citations per field
00.5×4.7×
Valery Petrov · 1×
Citations per year

Countries citing papers authored by P. Parmananda

Since Specialization
Citations

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

Fields of papers citing papers by P. Parmananda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Parmananda, 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 P. Parmananda Line = papers co-authored together P. Parmananda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 199994
3 199386
4 199382
5 200952
6 200348
7 201547
8 199744
9 199441
10 199741
11 199339
12 200738
13 201138
14 202035
15 200435
16 199735
17 201234
18 201033
19 201033
20 199833

About P. Parmananda

P. Parmananda is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 156 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (122 papers), stochastic dynamics and bifurcation (76 papers), Chaos control and synchronization (55 papers), Neural dynamics and brain function (32 papers), Micro and Nano Robotics (11 papers), Photoreceptor and optogenetics research (10 papers), Mechanical and Optical Resonators (10 papers) and Quantum chaos and dynamical systems (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Computer Networks and Communications (1.5k citations), Cognitive Neuroscience (411 citations), Condensed Matter Physics (209 citations) and Electrochemistry (99 citations). P. Parmananda has collaborated with scholars based in India, Mexico and United States. Frequent co-authors include M. Rivera, R. W. Rollins, Gerardo J. Escalera Santos, José‐Manuel Cruz, Howard D. Dewald, István Z. Kiss, M. Eiswirth, John L. Hudson, Dibyendu Das and Pawan Kumar. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, The Journal of Physical Chemistry A, Physics Letters A and Soft Matter.

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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