Ashish Ranjan

1.0k citations
77 papers · 808 · h-index 17

Impact in

Papers in

Ashish Ranjan

69 papers receiving 783 citations

Peers

Ashish Ranjan
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 186
  • Cellular and Molecular Neuroscience 197
  • Electrical and Electronic Engineering 548
  • Biomedical Engineering 275
  • Computer Networks and Communications 121
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Li Luo China
Ülkühan Güler United States
Juraj Valsa Czechia
Nitish Patel New Zealand
Pipat Prommee Thailand
Selçuk Kılınç Türkiye
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Christopher M. Twigg United States
Giancarlo Storti Gajani Italy
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Citations per field
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Citations per year

Countries citing papers authored by Ashish Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201950
3 202047
4 202245
5 201843
6 202036
7 202032
8 201928
9 201924
10 201923
11 201121
12 201921
13 201518
14 202018
15 201917
16 202117
17 201416
18 201315
19 201815
20 201214

About Ashish Ranjan

Ashish Ranjan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 77 papers that have together received 808 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (40 papers), Radio Frequency Integrated Circuit Design (21 papers), Advancements in PLL and VCO Technologies (15 papers), Neuroscience and Neural Engineering (14 papers), Chaos control and synchronization (13 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers), Advanced Memory and Neural Computing (8 papers) and stochastic dynamics and bifurcation (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (186 citations), Cellular and Molecular Neuroscience (197 citations), Electrical and Electronic Engineering (548 citations), Biomedical Engineering (275 citations) and Computer Networks and Communications (121 citations). Ashish Ranjan has collaborated with scholars based in India, China and Egypt. Frequent co-authors include John Vista, Manoj Joshi, Sajal K. Paul, Biswajit Paul, Arpan Sarkar, Santosh Kumar, Sumit Verma, Ravi Kumar, Shuma Adhikari and Sebastiaan N. Jonkman. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Photonic Network Communications and Chaos Solitons & Fractals.

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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