Mamta Parmar
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- Online Learning and Analytics 1
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- Intelligent Tutoring Systems and Adaptive Learning 1
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- Hemoglobinopathies and Related Disorders 1
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- Pregnancy and preeclampsia studies 1
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- Education and Learning Interventions 1
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- Iron Metabolism and Disorders 1
In The Last Decade
Mamta Parmar
1 paper receiving 7 citations
Peers
Comparison fields: 5 of 9
- Health Informatics 1
- Computer Science Applications 3
- Health Information Management 1
- Artificial Intelligence 4
- Statistics and Probability 1
Countries citing papers authored by Mamta Parmar
This map shows the geographic impact of Mamta Parmar'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 Mamta Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamta Parmar more than expected).
Fields of papers citing papers by Mamta Parmar
This network shows the impact of papers produced by Mamta Parmar. 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 Mamta Parmar. The network helps show where Mamta Parmar may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Mamta Parmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Mamta Parmar
Mamta Parmar is a scholar working on Computer Science Applications, Obstetrics and Gynecology and Genetics, having authored 2 papers that have together received 8 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (1 paper), Pregnancy and preeclampsia studies (1 paper), Online Learning and Analytics (1 paper), Education and Learning Interventions (1 paper), Iron Metabolism and Disorders (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Health Informatics (1 citation), Computer Science Applications (3 citations) and Health Information Management (1 citation). Mamta Parmar has collaborated with scholars based in India and Singapore. Frequent co-authors include Sanjeev Sharma, Vikas Goel, Erum Khan, Pawan Kumar Jain, Vijay K. Sharma and Arvind Sharma.
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.