Tejendra Dixit

1.1k citations
79 papers · 831 · h-index 17

Impact in

Papers in

    • ZnO doping and properties 49
    • Copper-based nanomaterials and applications 16
    • 2D Materials and Applications 8
    • Gas Sensing Nanomaterials and Sensors 21
    • Perovskite Materials and Applications 12
    • Advanced Memory and Neural Computing 11

Tejendra Dixit

73 papers receiving 818 citations

Peers

Tejendra Dixit
Comparison fields: 5 of 46
  • Electronic, Optical and Magnetic Materials 308
  • Materials Chemistry 632
  • Acoustics and Ultrasonics 8
  • Electrical and Electronic Engineering 494
  • Polymers and Plastics 96
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Shalong Wang China
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Citations per field
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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-authors

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

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 202251
3 201738
4 202234
5 201733
6 201829
7 201629
8 201528
9 201424
10 201823
11 201822
12 201922
13 201820
14 201520
15 201719
16 201518
17 201517
18 201916
19 202215
20 201614

About Tejendra Dixit

Tejendra Dixit is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Polymers and Plastics and Biomedical Engineering, having authored 79 papers that have together received 831 indexed citations. Recurring topics across this work include ZnO doping and properties (49 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 (308 citations), Materials Chemistry (632 citations), Acoustics and Ultrasonics (8 citations), Electrical and Electronic Engineering (494 citations) and Polymers and Plastics (96 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, M S Ramachandra Rao, Ashish Kumar, M. Muralidhar, Pramoda K. Nayak and Poonam Pandey. Their work appears in journals such as IEEE Photonics Technology Letters, IEEE Electron Device Letters, physica status solidi (RRL) - Rapid Research 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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