Muskan Garg

905 citations
33 papers · 398 indexed · h-index 11
Topics
Mental Health via Writing (10 papers)Advanced Text Analysis Techniques (8 papers)Sentiment Analysis and Opinion Mining (7 papers)
Partner nations
IndiaUnited StatesCanada

In The Last Decade

Muskan Garg

30 papers receiving 372 citations

Peers

Muskan Garg
Comparison fields: 5 of 89
  • Artificial Intelligence 196
  • Social Psychology 80
  • Computational Theory and Mathematics 60
  • Information Systems 52
  • Applied Psychology 43
Replace Hien D. Nguyen with:
Hien D. Nguyen Vietnam
Jacky Casas Switzerland
Michael Wolverton United States
Hui Na Chua Malaysia
Guozheng Rao China
Marcelo Luis Errecalde Argentina
Ilaria Tiddi Netherlands
Warih Maharani Indonesia
Weihua Peng China
Muhammad Ali Fauzi Indonesia
Muskan Garg relative to Hien D. Nguyen Vietnam Hien D. Nguyen's profile →
Citations per field
00.5×7.2×
Hien D. Nguyen · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Muskan Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Muskan Garg. A scholar is included among the top collaborators of Muskan Garg 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 Muskan Garg. Muskan Garg 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
#WorkIndexed citations
1 0
2 1
3 4
4 0
5 21
6 0
7 52
8 5
9 8
10 3
11 3
12 4
13 5
14 11
15 15
16 2
17 22
18 2
19 26
20 68

About Muskan Garg

Muskan Garg is a scholar working on Applied Psychology, Health Informatics and Artificial Intelligence, having authored 33 papers that have together received 398 indexed citations. Recurring topics across this work include Mental Health via Writing (10 papers), Advanced Text Analysis Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Health Informatics (19 citations), Applied Psychology (43 citations) and Artificial Intelligence (196 citations). Muskan Garg has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Mukesh Kumar, S.I. Ahson, Shaina Raza, Ankur Gupta, Apurv Verma, Manas Gaur, S. Chockalingam, Lujie Chen, Biplav Srivastava and P. Gopinath. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Biological Macromolecules.

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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