Megha Agrawal
- Artificial Intelligence top 2%
- Social Psychology top 2%
- Sociology and Political Science top 5%
- Clinical Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Lukasz DziurzynskiMartin E. P. SeligmanLyle UngarMargaret L. KernJohannes C. EichstaedtH. Andrew SchwartzDavid StillwellMichał Kosiński
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Dental Implant Techniques and Outcomes (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPsychological Science
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Megha Agrawal
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 532
- Social Psychology 501
- Sociology and Political Science 493
- Clinical Psychology 273
- Experimental and Cognitive Psychology 202
Countries citing papers authored by Megha Agrawal
This map shows the geographic impact of Megha Agrawal'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 Megha Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha Agrawal more than expected).
Fields of papers citing papers by Megha Agrawal
This network shows the impact of papers produced by Megha Agrawal. 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 Megha Agrawal. The network helps show where Megha Agrawal may publish in the future.
Co-authorship network of co-authors of Megha Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Megha Agrawal. A scholar is included among the top collaborators of Megha Agrawal 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 Megha Agrawal. Megha Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 45 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 37 | |
| 15 | 89 | |
| 16 | 41 | |
| 17 | 95 | |
| 18 | Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approachbreakdown → | 1116 |
| 19 | 8 | |
| 20 | A preliminary investigation into maximal expiratory pressures in some village children. | 2 |
About Megha Agrawal
Megha Agrawal is a scholar working on General Dentistry, Oral Surgery and Applied Psychology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Dental Implant Techniques and Outcomes (3 papers). The work is most often cited by research in Applied Psychology (145 citations), Social Psychology (501 citations) and Communication (149 citations). Megha Agrawal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Lukasz Dziurzynski, Martin E. P. Seligman, Lyle Ungar, Margaret L. Kern, Johannes C. Eichstaedt, H. Andrew Schwartz, David Stillwell, Michał Kosiński, Gregory Park and Maarten Sap. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Science.
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.