P. Parmananda

2.8k citations
154 papers · 2.2k indexed · h-index 28

Impact in

Papers in

P. Parmananda

144 papers receiving 2.1k citations

Peers

P. Parmananda
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 1.4k
  • Computer Networks and Communications 1.5k
  • Cognitive Neuroscience 372
  • Condensed Matter Physics 204
  • Electrochemistry 93
Replace Valery Petrov with:
Valery Petrov United States
Harald Engel Germany
D. G. Luchinsky United Kingdom
Silvina Ponce Dawson Argentina
R. Stoop Switzerland
Hiroaki Daido Japan
Martin Bier United States
Mark R. Tinsley United States
Junzhong Yang China
D. V. Senthilkumar India
P. Parmananda relative to Valery Petrov United States Valery Petrov's profile →
Citations per field
00.5×4.6×
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 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004151
2 199985
3 199383
4 199379
5 200951
6 201546
7 199745
8 200344
9 199740
10 201138
11 200737
12 199336
13 200435
14 199435
15 202033
16 201033
17 201033
18 199833
19 199732
20 201431

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 154 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (120 papers), stochastic dynamics and bifurcation (75 papers), Chaos control and synchronization (55 papers), Neural dynamics and brain function (30 papers), Micro and Nano Robotics (11 papers), Mechanical and Optical Resonators (10 papers), Quantum chaos and dynamical systems (9 papers) and Photoreceptor and optogenetics research (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Computer Networks and Communications (1.5k citations), Cognitive Neuroscience (372 citations), Condensed Matter Physics (204 citations) and Electrochemistry (93 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, Pawan Kumar and Dibyendu Das. 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.

Explore authors with similar magnitude of impact