Ritajit Majumdar
- Ceramics and Composites top 10%
- Advanced ceramic materials synthesis 5
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- Quantum Computing Algorithms and Architecture 16
- Quantum Information and Cryptography 13
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- Natural Fiber Reinforced Composites 4
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- Quantum-Dot Cellular Automata 8
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- Advanced Cellulose Research Studies 4
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- Quantum Mechanics and Applications 3
- Quantum and electron transport phenomena 2
- Co-authors
- H. S. MaitiOmprakash ChakrabartiMohammad A. HasnatSusmita Sur‐KolayPriyabrata SarkarU. RaySumana GhoshM. Mukherjee
- Cited by
- Ceramics and CompositesArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Journals
- Journal of Materials Science (1 paper)Journal of the European Ceramic Society (1 paper)Thermochimica Acta (1 paper)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Ritajit Majumdar
24 papers receiving 280 citations
Peers
Comparison fields: 5 of 58
- Ceramics and Composites 78
- Artificial Intelligence 84
- Renewable Energy, Sustainability and the Environment 39
- Building and Construction 32
- Polymers and Plastics 32
Countries citing papers authored by Ritajit Majumdar
This map shows the geographic impact of Ritajit Majumdar'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 Ritajit Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritajit Majumdar more than expected).
Fields of papers citing papers by Ritajit Majumdar
This network shows the impact of papers produced by Ritajit Majumdar. 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 Ritajit Majumdar. The network helps show where Ritajit Majumdar may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Ritajit Majumdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 1 | |
| 11 | 2018 | 16 | |
| 12 | 2015 | 9 | |
| 13 | 2006 | 4 | |
| 14 | 2006 | 6 | |
| 15 | 2006 | 16 | |
| 16 | 2006 | 15 | |
| 17 | 2006 | 58 | |
| 18 | 2004 | 17 | |
| 19 | 2004 | 16 | |
| 20 | 1999 | 31 |
About Ritajit Majumdar
Ritajit Majumdar is a scholar working on Ceramics and Composites, Artificial Intelligence and Computational Theory and Mathematics, having authored 27 papers that have together received 295 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (13 papers), Quantum-Dot Cellular Automata (8 papers), Advanced ceramic materials synthesis (5 papers), Natural Fiber Reinforced Composites (4 papers), Advanced Cellulose Research Studies (4 papers), Quantum Mechanics and Applications (3 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Ceramics and Composites (78 citations), Artificial Intelligence (84 citations) and Renewable Energy, Sustainability and the Environment (39 citations). Ritajit Majumdar has collaborated with scholars based in India, United States and Poland. Frequent co-authors include H. S. Maiti, Omprakash Chakrabarti, Mohammad A. Hasnat, Susmita Sur‐Kolay, Priyabrata Sarkar, U. Ray, Sumana Ghosh, M. Mukherjee, Siddhartha Mukhopadhyay and Sandeep Saini. Their work appears in journals such as Journal of Materials Science, Journal of the European Ceramic Society and Thermochimica Acta.
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.