Prashant M. Gade

1.1k total citations
74 papers, 862 citations indexed

About

Prashant M. Gade is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, Prashant M. Gade has authored 74 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Statistical and Nonlinear Physics, 33 papers in Computer Networks and Communications and 33 papers in Condensed Matter Physics. Recurrent topics in Prashant M. Gade's work include Theoretical and Computational Physics (33 papers), Nonlinear Dynamics and Pattern Formation (32 papers) and Chaos control and synchronization (22 papers). Prashant M. Gade is often cited by papers focused on Theoretical and Computational Physics (33 papers), Nonlinear Dynamics and Pattern Formation (32 papers) and Chaos control and synchronization (22 papers). Prashant M. Gade collaborates with scholars based in India, Taiwan and Italy. Prashant M. Gade's co-authors include Chin‐Kun Hu, R. E. Amritkar, Sudeshna Sinha, Sachin Bhalekar, Hilda A. Cerdeira, Ramakrishna Ramaswamy, Varsha Daftardar‐Gejji, A. D. Gangal, Abhijeet R. Sonawane and Harjinder Singh and has published in prestigious journals such as Physical Review Letters, Physical Review A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Prashant M. Gade

66 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant M. Gade India 15 625 548 174 103 89 74 862
Neelima Gupte India 16 449 0.7× 418 0.8× 167 1.0× 88 0.9× 96 1.1× 79 753
Marcus W. Beims Brazil 17 649 1.0× 364 0.7× 46 0.3× 46 0.4× 42 0.5× 84 837
Kunihiko Kaneko Japan 4 295 0.5× 280 0.5× 91 0.5× 97 0.9× 43 0.5× 11 521
J. Güémez Spain 15 591 0.9× 377 0.7× 49 0.3× 58 0.6× 34 0.4× 85 855
Roberto R. Deza Argentina 15 576 0.9× 358 0.7× 103 0.6× 35 0.3× 128 1.4× 69 743
Jae Dong Noh South Korea 23 964 1.5× 116 0.2× 481 2.8× 224 2.2× 54 0.6× 78 1.3k
Jorge Buescu Portugal 12 618 1.0× 574 1.0× 31 0.2× 223 2.2× 57 0.6× 42 1.0k
A. Venkatesan India 18 843 1.3× 680 1.2× 20 0.1× 67 0.7× 158 1.8× 36 1.1k
Cesar Manchein Brazil 16 549 0.9× 380 0.7× 37 0.2× 30 0.3× 124 1.4× 47 649
Bastien Fernandez France 11 237 0.4× 205 0.4× 51 0.3× 98 1.0× 43 0.5× 41 416

Countries citing papers authored by Prashant M. Gade

Since Specialization
Citations

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

Fields of papers citing papers by Prashant M. Gade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant M. Gade. 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 Prashant M. Gade. The network helps show where Prashant M. Gade may publish in the future.

Co-authorship network of co-authors of Prashant M. Gade

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

All Works

20 of 20 papers shown
1.
Gade, Prashant M., et al.. (2024). Machine Learning in Cyber Security. International Research Journal of Modernization in Engineering Technology and Science.
2.
Gade, Prashant M., et al.. (2024). Synchronization in coupled neuronal map on diffusion limited aggregate. AIP conference proceedings. 3139. 50003–50003. 1 indexed citations
3.
Gade, Prashant M., et al.. (2024). Cellular automata model for period-n synchronization: a new universality class. Journal of Physics A Mathematical and Theoretical. 58(2). 02LT01–02LT01.
4.
Gade, Prashant M., et al.. (2024). Dynamical phases and phase transition in simplicially coupled logistic maps. International Journal of Modern Physics C. 36(11).
5.
Gade, Prashant M., et al.. (2024). Fractional-order neuronal maps: dynamics, control and stability analysis. Pramana. 98(2). 2 indexed citations
6.
Bhalekar, Sachin, et al.. (2024). Stability analysis of fractional difference equations with delay. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5). 43–51. 1 indexed citations
7.
Gade, Prashant M., et al.. (2024). Transition to period-3 synchronized state in coupled gauss maps. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 2 indexed citations
8.
Bhalekar, Sachin, et al.. (2023). Controlling fractional difference equations using feedback. Chaos Solitons & Fractals. 170. 113401–113401. 5 indexed citations
9.
Gade, Prashant M., et al.. (2023). Approach to zigzag and checkerboard patterns in spatially extended systems. Chaos Solitons & Fractals. 172. 113510–113510. 1 indexed citations
10.
Gade, Prashant M., et al.. (2023). Griffiths phase for quenched disorder in timescales. International Journal of Modern Physics C. 35(5). 1 indexed citations
11.
Gade, Prashant M., et al.. (2022). Study of low-dimensional nonlinear fractional difference equations of complex order. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(11). 113101–113101. 9 indexed citations
12.
Gade, Prashant M. & Sachin Bhalekar. (2021). ON FRACTIONAL ORDER MAPS AND THEIR SYNCHRONIZATION. Fractals. 29(6). 2150150–2150150. 5 indexed citations
13.
Gade, Prashant M., et al.. (2021). Effect of a Mode of Update on Universality Class for Coupled Logistic Maps: Directed Ising to Ising Class. International Journal of Bifurcation and Chaos. 31(3). 2150042–2150042. 6 indexed citations
14.
Gade, Prashant M., et al.. (2021). Emergence of logarithmic-periodic oscillations in contact process with topological disorder. Physical review. E. 103(2). 22115–22115. 3 indexed citations
15.
Gade, Prashant M., et al.. (2021). Transition to Fully or Partially Arrested State in Coupled Logistic Maps on a Ladder. International Journal of Bifurcation and Chaos. 31(12). 2150185–2150185. 1 indexed citations
16.
Daftardar‐Gejji, Varsha, et al.. (2020). Emergence of order in dynamical phases in coupled fractional gauss map. Chaos Solitons & Fractals. 135. 109770–109770. 6 indexed citations
17.
Limaye, A. V., et al.. (2020). CONTACT PROCESS ON FRACTAL CLUSTERS SIMULATED BY GENERALIZED DIFFUSION-LIMITED AGGREGATION (g-DLA) MODEL. Fractals. 28(7). 2050137–2050137. 1 indexed citations
18.
Gade, Prashant M., et al.. (2020). Novel transition to fully absorbing state without long-range spatial order in directed percolation class. Communications in Nonlinear Science and Numerical Simulation. 85. 105247–105247. 7 indexed citations
19.
Gade, Prashant M., et al.. (2019). Emergence of long range order for sublattice update in coupled map lattices. The European Physical Journal B. 92(8). 2 indexed citations
20.
Gade, Prashant M., et al.. (2018). Using a variational method to obtain the ground state of the quantum Hamiltonian: symbolic computation approach. European Journal of Physics. 40(1). 15806–15806. 2 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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