Tejendra Dixit

1.0k citations
77 papers · 798 indexed · h-index 17

Impact in

Papers in

Tejendra Dixit

71 papers receiving 771 citations

Peers

Tejendra Dixit
Comparison fields: 5 of 45
  • Electronic, Optical and Magnetic Materials 302
  • Materials Chemistry 621
  • Acoustics and Ultrasonics 8
  • Electrical and Electronic Engineering 487
  • Polymers and Plastics 95
Replace Chien-Ting Wu with:
Chien-Ting Wu Taiwan
Shalong Wang China
Eduard Monaico Moldova
Sangsig Kim South Korea
Meng‐Lin Lu Taiwan
Benjamin Weintraub United States
X. D. Gao China
Wei‐Chen Tu Taiwan
Naveen Kumar South Korea
Huei‐Ru Fuh Taiwan
Tejendra Dixit relative to Chien-Ting Wu Taiwan Chien-Ting Wu's profile →
Citations per field
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Chien-Ting Wu · 1×
Citations per year

Countries citing papers authored by Tejendra Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Tejendra Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20254
4 20240
5 20241
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10 20233
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12 20233
13 20233
14 20228
15 202215
16 202063
17 201911
18 201812
19 201822
20 20164

About Tejendra Dixit

Tejendra Dixit is a scholar working on Acoustics and Ultrasonics, Electronic, Optical and Magnetic Materials, Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 77 papers that have together received 798 indexed citations. Recurring topics across this work include ZnO doping and properties (48 papers), Ga2O3 and related materials (25 papers), Gas Sensing Nanomaterials and Sensors (21 papers), Copper-based nanomaterials and applications (16 papers), Perovskite Materials and Applications (12 papers), Advanced Memory and Neural Computing (11 papers), 2D Materials and Applications (8 papers) and Transition Metal Oxide Nanomaterials (8 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (302 citations), Materials Chemistry (621 citations), Acoustics and Ultrasonics (8 citations), Electrical and Electronic Engineering (487 citations) and Polymers and Plastics (95 citations). Tejendra Dixit has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Vipul Singh, I. A. Palani, M. S. Ramachandra Rao, K. Ganapathi, Vikash Mishra, Ashish Kumar, M. Muralidhar, Pramoda K. Nayak, Poonam Pandey and Rajiv Prakash. Their work appears in journals such as IEEE Photonics Technology Letters, physica status solidi (RRL) - Rapid Research Letters, IEEE Electron Device Letters, Scripta Materialia and Applied Physics Letters.

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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