Muskan Garg

28 papers and 260 indexed citations i.

About

Muskan Garg is a scholar working on Artificial Intelligence, Social Psychology and Applied Psychology. According to data from OpenAlex, Muskan Garg has authored 28 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Social Psychology and 7 papers in Applied Psychology. Recurrent topics in Muskan Garg’s work include Mental Health via Writing (9 papers), Advanced Text Analysis Techniques (7 papers) and Digital Mental Health Interventions (7 papers). Muskan Garg is often cited by papers focused on Mental Health via Writing (9 papers), Advanced Text Analysis Techniques (7 papers) and Digital Mental Health Interventions (7 papers). Muskan Garg collaborates with scholars based in India, United States and Canada. Muskan Garg's co-authors include Mukesh Kumar, S.I. Ahson, P. Gopinath, Patit Paban Kundu, Shaina Raza, Vijay Mago, Manas Gaur, Sunghwan Sohn, Ankur Gupta and Lujie Chen and has published in prestigious journals such as Expert Systems with Applications, International Journal of Biological Macromolecules and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Muskan Garg i

Fields of papers citing papers by Muskan Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muskan Garg

Since Specialization
Citations

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

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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2025