Rajeev Kumar Ranjan

2.3k citations
91 papers · 1.1k · h-index 18

Impact in

Papers in

Rajeev Kumar Ranjan

83 papers receiving 1.1k citations

Peers

Rajeev Kumar Ranjan
Comparison fields: 5 of 45
  • Cellular and Molecular Neuroscience 459
  • Electrical and Electronic Engineering 917
  • Hardware and Architecture 99
  • Software 40
  • Statistical and Nonlinear Physics 92
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Greg Snider United States
Mottaqiallah Taouil Netherlands
Linxiao Shen China
W. Liu United States
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Kyoung-Rok Cho South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Rajeev Kumar Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kumar Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201787
3 202074
4 202050
5 201850
6 202144
7 201841
8 199441
9 201839
10 202137
11 202034
12 199633
13 202027
14 202026
15 199819
16 201919
17 202218
18 201617
19 202417
20 200217

About Rajeev Kumar Ranjan

Rajeev Kumar Ranjan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Neuroscience and Neural Engineering (29 papers), Analog and Mixed-Signal Circuit Design (26 papers), CCD and CMOS Imaging Sensors (15 papers), Advancements in Semiconductor Devices and Circuit Design (13 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Neural dynamics and brain function (8 papers) and Radio Frequency Integrated Circuit Design (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (459 citations), Electrical and Electronic Engineering (917 citations), Hardware and Architecture (99 citations), Software (40 citations) and Statistical and Nonlinear Physics (92 citations). Rajeev Kumar Ranjan has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Fabian Khateb, Niranjan Raj, Montree Kumngern, Sajal K. Paul, Robert K. Brayton, Tomasz Kulej, Alberto Sangiovanni‐Vincentelli, Vijay Kumar Verma, Bhargav Appasani and Rohit Sharma. Their work appears in journals such as IEEE Access, Microsystem Technologies, Analog Integrated Circuits and Signal Processing, Sadhana and Electronics.

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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