Jay Chandra Dhar

57 papers receiving 752 citations

Peers

Jay Chandra Dhar
Comparison fields: 5 of 38
  • Electronic, Optical and Magnetic Materials 325
  • Surfaces, Coatings and Films 91
  • Materials Chemistry 527
  • Electrical and Electronic Engineering 435
  • Polymers and Plastics 93
Replace Naorem Khelchand Singh with:
Naorem Khelchand Singh India
Chin‐An Lin Taiwan
Kunihito Koumoto Japan
S. T. Lee Hong Kong
Han-Yin Liu Taiwan
Hayato Koike Japan
Lior Kornblum Israel
Bhera Ram Tak India
Sung-Yen Wei Taiwan
Saime Şebnem Çetin Türkiye
Jay Chandra Dhar relative to Naorem Khelchand Singh India Naorem Khelchand Singh's profile →
Citations per field
00.5×1.5×2.5×
Naorem Khelchand Singh · 1×
Citations per year

Countries citing papers authored by Jay Chandra Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Chandra Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Chandra Dhar. 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 Jay Chandra Dhar. The network helps show where Jay Chandra Dhar may publish in the future.

Co-authors

The 17 scholars most cited alongside Jay Chandra Dhar, 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 Jay Chandra Dhar Line = papers co-authored together Jay Chandra Dhar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201953
3 201235
4 201234
5 201930
6 201927
7 202026
8 201924
9 202224
10 201322
11 201321
12 201321
13 202021
14 201321
15 201520
16 202219
17 202118
18 202217
19 201415
20 201315

About Jay Chandra Dhar

Jay Chandra Dhar is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Surfaces, Coatings and Films, having authored 61 papers that have together received 760 indexed citations. Recurring topics across this work include ZnO doping and properties (41 papers), Ga2O3 and related materials (28 papers), Gas Sensing Nanomaterials and Sensors (20 papers), Nanowire Synthesis and Applications (16 papers), Optical Coatings and Gratings (12 papers), Semiconductor materials and devices (12 papers), GaN-based semiconductor devices and materials (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (325 citations), Surfaces, Coatings and Films (91 citations), Materials Chemistry (527 citations), Electrical and Electronic Engineering (435 citations) and Polymers and Plastics (93 citations). Jay Chandra Dhar has collaborated with scholars based in India and Japan. Frequent co-authors include Aniruddha Mondal, Naorem Khelchand Singh, P. Chinnamuthu, Anirban Bhattacharyya, Kalyan Kumar Chattopadhyay, S. Choudhury, Mritunjay Kumar, Shubhro Chakrabartty, Tanmay Goswami and Bijit Choudhuri. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Nanotechnology, Applied Physics A, Journal of Nanoscience and Nanotechnology and IEEE Photonics Technology 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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