Megha Rathi

479 total citations
14 papers, 238 citations indexed

About

Megha Rathi is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Megha Rathi has authored 14 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Information Management, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Megha Rathi's work include Artificial Intelligence in Healthcare (4 papers), COVID-19 diagnosis using AI (3 papers) and Digital Mental Health Interventions (2 papers). Megha Rathi is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), COVID-19 diagnosis using AI (3 papers) and Digital Mental Health Interventions (2 papers). Megha Rathi collaborates with scholars based in India, Australia and Switzerland. Megha Rathi's co-authors include Adwitiya Sinha, Rajarshi Neogi, Ruth Stringer, Josh Karliner, Guy Howard, Peter Berry, Annette Prüss‐Üstün, Jostacio Lapitan, Margaret Montgomery and Diarmid Campbell‐Lendrum and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Applied Intelligence and Materials Today Proceedings.

In The Last Decade

Megha Rathi

12 papers receiving 221 citations

Peers

Megha Rathi

AI

HTM

IS

SPS

GHP

Arlene Oetomo Canada

Tobias Mueller Germany

Sarah A. Bolbol Egypt

Danilo Alvares Chile

Yannick Marcon United Kingdom

Yiye Zhang China

Stefano Canali Italy

J.E. Rod Australia

Demetris Avraam United Kingdom

Hanna von Gerich Finland

Arlene Oetomo Canada

Megha Rathi

37 ×0.4

AI

23 ×0.5

HTM

66 ×1.6

IS

35 ×1.3

SPS

45 ×2.1

GHP

Citations per year, relative to Megha Rathi Megha Rathi (= 1×) peers Arlene Oetomo

Countries citing papers authored by Megha Rathi

Since Specialization

Citations

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

Fields of papers citing papers by Megha Rathi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Rathi

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Rathi. A scholar is included among the top collaborators of Megha Rathi 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 Rathi. Megha Rathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Rathi, Megha, et al.. (2023). Assessing Mental Health Crisis in Pandemic Situation With Computational Intelligence. Informatica. 47(1).

2.

Rathi, Megha, et al.. (2022). Personalized Health Framework for Visually Impaired. Informatica. 46(1). 4 indexed citations

3.

Neogi, Rajarshi, et al.. (2022). Free Papers Compiled. Indian Journal of Psychiatry. 64(9). 577–577.

4.

Rathi, Megha, et al.. (2022). Internet addiction in adolescents. Indian Journal of Psychiatry. 64(4). 408–414. 15 indexed citations

5.

Rathi, Megha & Adwitiya Sinha. (2022). Advanced Computational Techniques for Sustainable Computing. 5 indexed citations

6.

Sinha, Adwitiya & Megha Rathi. (2021). COVID-19 prediction using AI analytics for South Korea. Applied Intelligence. 51(12). 8579–8597. 20 indexed citations

7.

Rajalakshmi, S., et al.. (2021). Patient health care intensive care system using wearable band sensor network. Materials Today Proceedings. 47. 80–87. 2 indexed citations

8.

Corvalán, Carlos, Elena Villalobos Prats, Aderita Sena, et al.. (2020). Towards Climate Resilient and Environmentally Sustainable Health Care Facilities. International Journal of Environmental Research and Public Health. 17(23). 8849–8849. 76 indexed citations

9.

Rathi, Megha, et al.. (2020). Personalised Heart Monitoring and Reporting System. 5. 68–73. 1 indexed citations

10.

Rathi, Megha & Vikas Pareek. (2019). Mobile Based Healthcare Tool an Integrated Disease Prediction & Recommendation System. International Journal of Knowledge and Systems Science. 10(1). 38–62. 5 indexed citations

11.

Rathi, Megha, et al.. (2018). Prediction of Health Fitness and Heart Status Using Data Mining Techniques. SSRN Electronic Journal. 1 indexed citations

12.

Rathi, Megha, et al.. (2018). Sentiment Analysis of Tweets Using Machine Learning Approach. 1–3. 88 indexed citations

13.

Rathi, Megha, et al.. (2018). Review of Bagging and Boosting Classification Performance on Unbalanced Binary Classification. 338–343. 18 indexed citations

14.

Rathi, Megha, et al.. (2017). Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review. International Journal of Advanced Research in Computer Science and Software Engineering. 7(4). 7–10. 3 indexed citations

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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