Chandra Chowdhury

1.1k citations
34 papers · 958 indexed · h-index 16
Topics
Machine Learning in Materials Science (9 papers)MXene and MAX Phase Materials (9 papers)Advancements in Battery Materials (8 papers)
Partner nations
IndiaGermanyRussia

In The Last Decade

Chandra Chowdhury

34 papers receiving 943 citations

Peers

Chandra Chowdhury
Comparison fields: 5 of 43
  • Materials Chemistry 745
  • Electrical and Electronic Engineering 506
  • Renewable Energy, Sustainability and the Environment 239
  • Electronic, Optical and Magnetic Materials 104
  • Inorganic Chemistry 91
Replace Robert E. Warburton with:
Robert E. Warburton United States
Sascha Hoch Germany
Yuliang Liu China
Darshil Chodvadiya India
David Nieto‐Castro Spain
Adolfo Ferre-Vilaplana Spain
Julian A. Vigil United States
Yao Sha United States
Ya Tang China
Jian-Qiang Zhao China
Chandra Chowdhury relative to Robert E. Warburton United States Robert E. Warburton's profile →
Citations per field
00.5×11.8×
Robert E. Warburton · 1×
Citations per year

Countries citing papers authored by Chandra Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Chowdhury. A scholar is included among the top collaborators of Chandra Chowdhury based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chandra Chowdhury. Chandra Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 3
5 4
6 1
7 11
8 1
9 3
10 2
11 29
12 17
13 34
14 2
15 34
16 60
17 11
18 35
19 160
20 71

About Chandra Chowdhury

Chandra Chowdhury is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Inorganic Chemistry, having authored 34 papers that have together received 958 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), MXene and MAX Phase Materials (9 papers) and Advancements in Battery Materials (8 papers). The work is most often cited by research in Materials Chemistry (745 citations), Renewable Energy, Sustainability and the Environment (239 citations) and Catalysis (67 citations). Chandra Chowdhury has collaborated with scholars based in India, Germany and Russia. Frequent co-authors include Ayan Datta, Sharmistha Karmakar, Rajkumar Jana, Sudip Malik, Kalishankar Bhattacharyya, Rameswar Bhattacharjee, Saied Md Pratik, S. K. De, P. K. Giri and Sumana Paul. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry C and Physical Chemistry Chemical Physics.

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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