Jitendra Kumar Das

511 citations
52 papers · 297 · h-index 10

Impact in

Papers in

    • Advancements in Semiconductor Devices and Circuit Design 15
    • Semiconductor materials and devices 13
    • Integrated Circuits and Semiconductor Failure Analysis 5
    • Low-power high-performance VLSI design 4
    • Machine Learning in Bioinformatics 12
    • Fractal and DNA sequence analysis 12
    • RNA and protein synthesis mechanisms 8

Jitendra Kumar Das

45 papers receiving 268 citations

Peers

Jitendra Kumar Das
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 107
  • Computer Networks and Communications 39
  • Human-Computer Interaction 9
  • Human Factors and Ergonomics 3
  • Artificial Intelligence 40
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Citations per year

Countries citing papers authored by Jitendra Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 200228
3 201828
4 201513
5 202012
6 201711
7 201611
8 20179
9 20159
10 20229
11 20029
12 20208
13 20168
14 20188
15 20177
16 20157
17 20196
18 20166
19 20156
20 20186

About Jitendra Kumar Das

Jitendra Kumar Das is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 52 papers that have together received 297 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (15 papers), Semiconductor materials and devices (13 papers), Machine Learning in Bioinformatics (12 papers), Fractal and DNA sequence analysis (12 papers), RNA and protein synthesis mechanisms (8 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Low-power high-performance VLSI design (4 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (107 citations), Computer Networks and Communications (39 citations), Human-Computer Interaction (9 citations), Human Factors and Ergonomics (3 citations) and Artificial Intelligence (40 citations). Jitendra Kumar Das has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Sarita Nanda, Lopamudra Das, Kamalakanta Mahapatra, Albena Mihovska, Vladimir Poulkov, Subhashree Choudhury, K. P. Swain, Milton Mueller, Angsuman Sarkar and R. Friedrich. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Genomics, Microelectronics Reliability, Journal of Sustainable Forestry and Indian Journal of Science and Technology.

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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