Subrata Panda

942 citations
32 papers · 784 · h-index 15

Impact in

Papers in

    • Ammonia Synthesis and Nitrogen Reduction 11
    • Hydrogen Storage and Materials 14
    • Graphene research and applications 3
    • Boron and Carbon Nanomaterials Research 2

Subrata Panda

30 papers receiving 758 citations

Peers

Subrata Panda
Comparison fields: 5 of 40
  • Energy Engineering and Power Technology 151
  • Catalysis 285
  • Materials Chemistry 637
  • Biomaterials 102
  • Ceramics and Composites 37
Replace J.F.R. de Castro with:
J.F.R. de Castro Brazil
P. Solsona Spain
Xiantun Huang China
Shun Wang China
Sébastien Cahen France
Yongyang Zhu China
Fangming Xiao China
Hongwei Shang China
Jean Nei United States
Subrata Panda relative to J.F.R. de Castro Brazil J.F.R. de Castro's profile →
Citations per field
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J.F.R. de Castro · 1×
Citations per year

Countries citing papers authored by Subrata Panda

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020173
2 2020114
3 197977
4 202060
5 202153
6 201741
7 202131
8 202026
9 201625
10 202021
11 201820
12 202320
13 202019
14 202319
15 202216
16 202414
17 202310
18 20257
19 20247
20 20237

About Subrata Panda

Subrata Panda is a scholar working on Catalysis, Materials Chemistry, Energy Engineering and Power Technology, Condensed Matter Physics and Ceramics and Composites, having authored 32 papers that have together received 784 indexed citations. Recurring topics across this work include Hydrogen Storage and Materials (14 papers), Ammonia Synthesis and Nitrogen Reduction (11 papers), Superconductivity in MgB2 and Alloys (6 papers), Hybrid Renewable Energy Systems (5 papers), Graphene research and applications (3 papers), Boron and Carbon Nanomaterials Research (2 papers), Glass properties and applications (2 papers) and Magnesium Alloys: Properties and Applications (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (151 citations), Catalysis (285 citations), Materials Chemistry (637 citations), Biomaterials (102 citations) and Ceramics and Composites (37 citations). Subrata Panda has collaborated with scholars based in India, China and France. Frequent co-authors include Jianxin Zou, Darvaish Khan, Wenjiang Ding, Zhewen Ma, Qiuyu Zhang, Fengzhan Sun, Wen Zhu, Bellambettu Chandrasekhara Pai, P. K. Rohatgi and Chong Lu. Their work appears in journals such as International Journal of Hydrogen Energy, The Journal of Physical Chemistry C, Chemical Engineering Journal, Journal of Energy Storage and Materials Characterization.

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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