Pinaki Pal

942 citations
54 papers · 722 indexed · h-index 15
Topics
Nonlinear Dynamics and Pattern Formation (33 papers)Fluid Dynamics and Turbulent Flows (16 papers)stochastic dynamics and bifurcation (11 papers)
Partner nations
IndiaUnited StatesIsrael

In The Last Decade

Pinaki Pal

49 papers receiving 712 citations

Peers

Pinaki Pal
Comparison fields: 5 of 53
  • Computer Networks and Communications 469
  • Statistical and Nonlinear Physics 343
  • Cognitive Neuroscience 131
  • Molecular Biology 114
  • Computational Mechanics 105
Replace Shankar C. Venkataramani with:
Shankar C. Venkataramani United States
M. G. Cosenza Venezuela
Robert Deville France
John F. Lindner United States
Ivanitskiĭ Gr Russia
Romi Mankin Estonia
Dong-Cheng Mei China
George L. Johnston United States
Clodoaldo Grotta Ragazzo Brazil
F. Marchesoni Italy
Pinaki Pal relative to Shankar C. Venkataramani United States Shankar C. Venkataramani's profile →
Citations per field
00.5×9.4×
Shankar C. Venkataramani · 1×
Citations per year

Countries citing papers authored by Pinaki Pal

Since Specialization
Citations

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

Fields of papers citing papers by Pinaki Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinaki Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Pinaki Pal. A scholar is included among the top collaborators of Pinaki Pal 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 Pinaki Pal. Pinaki Pal 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 4
6 2
7 1
8 8
9 3
10 5
11 6
12 6
13 67
14 74
15 27
16 3
17 38
18 41
19 16
20 6

About Pinaki Pal

Pinaki Pal is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Mechanics, having authored 54 papers that have together received 722 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (33 papers), Fluid Dynamics and Turbulent Flows (16 papers) and stochastic dynamics and bifurcation (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (343 citations), Computer Networks and Communications (469 citations) and Cognitive Neuroscience (131 citations). Pinaki Pal has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Syamal K. Dana, Chittaranjan Hens, Krishna Kumar, O. I. Olusola, Ulrike Feudel, K. Thamilmaran, S. Leo Kingston, Suman Saha, Arindam Mishra and Tomasz Kapitaniak. Their work appears in journals such as International Journal of Heat and Mass Transfer, Physics Letters A and Physics of Fluids.

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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