Deepak Kumar Panda

2.1k citations
112 papers · 1.6k · h-index 22

Impact in

Papers in

Deepak Kumar Panda

104 papers receiving 1.5k citations

Peers

Deepak Kumar Panda
Comparison fields: 5 of 51
  • Bioengineering 150
  • Condensed Matter Physics 219
  • Electrical and Electronic Engineering 932
  • Electronic, Optical and Magnetic Materials 182
  • Nuclear Energy and Engineering 1
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Jing Wan China
Rajnish Sharma India
Shubham Tayal India
Mousa I. Hussein United Arab Emirates
Yongmin Baek United States
Hongxia Zhang China
Minseong Park South Korea
Ruohe Yao China
Yimao Cai China
Ichiro Omura Japan
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Citations per field
00.5×2×4×6×8.1×
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Citations per year

Countries citing papers authored by Deepak Kumar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020147
2 200595
3 202081
4 201559
5 202256
6 202151
7 202242
8 202234
9 202132
10 202031
11 202131
12 201026
13 202126
14 202326
15 200724
16 202024
17 202224
18 202324
19 201823
20 201923

About Deepak Kumar Panda

Deepak Kumar Panda is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering, Bioengineering, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (37 papers), GaN-based semiconductor devices and materials (25 papers), Chalcogenide Semiconductor Thin Films (11 papers), Analytical Chemistry and Sensors (11 papers), Video Surveillance and Tracking Methods (10 papers), Ga2O3 and related materials (8 papers), Advanced Machining and Optimization Techniques (8 papers) and 2D Materials and Applications (7 papers). The work is most often cited by research in Bioengineering (150 citations), Condensed Matter Physics (219 citations), Electrical and Electronic Engineering (932 citations), Electronic, Optical and Magnetic Materials (182 citations) and Nuclear Energy and Engineering (1 citation). Deepak Kumar Panda has collaborated with scholars based in India, United States and Algeria. Frequent co-authors include Trupti Ranjan Lenka, Sukadev Meher, Rajesh Saha, Hieu Pham Trung Nguyen, Umakanta Nanda, Rajan Singh, Ravi Teja Velpula, Barsha Jain, Rupam Goswami and Srimanta Baishya. Their work appears in journals such as Microsystem Technologies, ECS Journal of Solid State Science and Technology, Materials and Manufacturing Processes, Materials Science in Semiconductor Processing and Journal of Semiconductors.

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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