Subarna Maiti

2.2k total citations
63 papers, 1.8k citations indexed

About

Subarna Maiti is a scholar working on Biomedical Engineering, Renewable Energy, Sustainability and the Environment and Mechanical Engineering. According to data from OpenAlex, Subarna Maiti has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 21 papers in Renewable Energy, Sustainability and the Environment and 17 papers in Mechanical Engineering. Recurrent topics in Subarna Maiti's work include Solar Thermal and Photovoltaic Systems (12 papers), Thermochemical Biomass Conversion Processes (12 papers) and Photovoltaic System Optimization Techniques (9 papers). Subarna Maiti is often cited by papers focused on Solar Thermal and Photovoltaic Systems (12 papers), Thermochemical Biomass Conversion Processes (12 papers) and Photovoltaic System Optimization Techniques (9 papers). Subarna Maiti collaborates with scholars based in India, United Kingdom and Switzerland. Subarna Maiti's co-authors include B. Ghosh, Pushpito K. Ghosh, Pankaj Patel, Himanshu Patel, Prasanta Kumar Das, Hiren D. Raval, Sudhanya Banerjee, G.C. Shit, Sayan Dey and P. Maiti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioresource Technology.

In The Last Decade

Subarna Maiti

61 papers receiving 1.7k citations

Peers

Subarna Maiti
Comparison fields: 5 of 98
  • Biomedical Engineering 708
  • Renewable Energy, Sustainability and the Environment 566
  • Mechanical Engineering 533
  • Water Science and Technology 315
  • Materials Chemistry 215
Replace S. Murugavelh with:
S. Murugavelh India
Cíntia Soares Brazil
Mohammad Pazouki Iran
Mohammad Sadegh Hatamipour Iran
Kenneth J. Valentas United States
S. Manikandan India
Yann Rogaume France
Saleh Al Arni Saudi Arabia
Bo Jin China
Carlos Henrique Ataíde Brazil
S. Murugavelh India View profile →
Citations per field, relative to Subarna Maiti
Subarna Maiti · 1×
Citations per year, relative to Subarna Maiti
Subarna Maiti · 1×

Countries citing papers authored by Subarna Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Subarna Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subarna Maiti

This figure shows the co-authorship network connecting the top 25 collaborators of Subarna Maiti. A scholar is included among the top collaborators of Subarna Maiti 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 Subarna Maiti. Subarna Maiti 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
# Work Indexed citations
1 0
2 0
3 7
4 3
5 25
6 16
7 6
8 42
9 15
10 83
11 24
12 8
13 27
14 5
15 4
16 10
17 11
18 33
19 143
20 119

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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