Sanskriti Samvardhan Mandal
Impact in
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- Supercapacitor Materials and Fabrication
- Multiferroics and related materials
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- Magnetic Properties and Synthesis of Ferrites
- Nanoparticles: synthesis and applications
Papers in
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- Image Retrieval and Classification Techniques 60
- Face and Expression Recognition 45
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- Synthesis and biological activity 108
- Synthesis and Characterization of Heterocyclic Compounds 68
- Multicomponent Synthesis of Heterocycles 66
- Top scholars
- Z CaoSteven L. McKnightRobert M. UmekPrasad G. JamkhandeSanjay N. TalbarMohan KalaskarRajaram S. ManePrashant B. Kharat
- Journals
- Macromolecular Symposia (26 papers)Journal of Materials Science Materials in Electronics (20 papers)RSC Advances (17 papers)Ceramics International (14 papers)Scientific Reports (13 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Sanskriti Samvardhan Mandal
1.8k papers receiving 22.2k citations
Peers
Comparison fields: 5 of 230
- Electronic, Optical and Magnetic Materials 2.6k
- Materials Chemistry 5.2k
- Organic Chemistry 2.4k
- Bioengineering 469
- Renewable Energy, Sustainability and the Environment 1.4k
Countries citing scholars working at Sanskriti Samvardhan Mandal
This map shows the geographic impact of research produced by authors working at Sanskriti Samvardhan Mandal. 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 papers produced at Sanskriti Samvardhan Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanskriti Samvardhan Mandal more than expected).
Fields of papers published by authors at Sanskriti Samvardhan Mandal
This network shows the impact of papers affiliated with Sanskriti Samvardhan Mandal at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Sanskriti Samvardhan Mandal at the time of their publication.
About Sanskriti Samvardhan Mandal
In recent decades, authors affiliated with Sanskriti Samvardhan Mandal have published 2.2k papers, which have received a total of 23.3k indexed citations . Scholars at this organization have produced 244 papers in Computer Vision and Pattern Recognition, 238 papers in Organic Chemistry, 89 papers in Signal Processing, 138 papers in Electronic, Optical and Magnetic Materials and 333 papers in Materials Chemistry on the topics of Synthesis and biological activity (108 papers), Magnetic Properties and Synthesis of Ferrites (89 papers), Synthesis and Characterization of Heterocyclic Compounds (68 papers), Multicomponent Synthesis of Heterocycles (66 papers), Image Retrieval and Classification Techniques (60 papers), Gas Sensing Nanomaterials and Sensors (53 papers), Supercapacitor Materials and Fabrication (48 papers) and Face and Expression Recognition (45 papers). Their work is cited by papers focused on Electronic, Optical and Magnetic Materials (2.6k citations), Materials Chemistry (5.2k citations), Organic Chemistry (2.4k citations), Bioengineering (469 citations) and Renewable Energy, Sustainability and the Environment (1.4k citations). Authors at Sanskriti Samvardhan Mandal collaborate with scholars in India, United States and Saudi Arabia and have published in prestigious journals including Macromolecular Symposia, Journal of Materials Science Materials in Electronics, RSC Advances, Ceramics International and Scientific Reports. Some of Sanskriti Samvardhan Mandal's most productive authors include Z Cao, Steven L. McKnight, Robert M. Umek, Prasad G. Jamkhande, Sanjay N. Talbar, Mohan Kalaskar, Rajaram S. Mane, Prashant B. Kharat, Sandeep B. Somvanshi and Ravindra C. Thool.
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.