Sudha Ramakrishnan

484 total citations
26 papers, 343 citations indexed

About

Sudha Ramakrishnan is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Surgery. According to data from OpenAlex, Sudha Ramakrishnan has authored 26 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Physiology and 4 papers in Surgery. Recurrent topics in Sudha Ramakrishnan's work include Innovations in Medical Education (5 papers), Simulation-Based Education in Healthcare (4 papers) and Organ Donation and Transplantation (2 papers). Sudha Ramakrishnan is often cited by papers focused on Innovations in Medical Education (5 papers), Simulation-Based Education in Healthcare (4 papers) and Organ Donation and Transplantation (2 papers). Sudha Ramakrishnan collaborates with scholars based in India, United States and Canada. Sudha Ramakrishnan's co-authors include D. Bilitza, K. Rawer, Shoba Periasamy, S. Prabu, R. Vidhya, K. Srinivasa Raju, G. Kavitha, Noriza Mohd Jamal, Tune Usha and Gerald Ogola and has published in prestigious journals such as Reviews of Geophysics, American Journal of Transplantation and Surgical Endoscopy.

In The Last Decade

Sudha Ramakrishnan

23 papers receiving 319 citations

Peers

Sudha Ramakrishnan

GEOPH

OCEAN

Tajul Ariffin Musa Malaysia

M. Sithartha Muthu Vijayan India

Gopal Sharma India

Salih Alçay Türkiye

Gamal El-Fiky Egypt

Kathryn Materna United States

J. K. Catherine India

D. Winester United States

Grzegorz Nykiel Poland

Georgios S. Vergos Greece

Tajul Ariffin Musa Malaysia

Sudha Ramakrishnan

102 ×0.5

35 ×0.3

GEOPH

175 ×1.6

19 ×0.3

143 ×3.3

OCEAN

Citations per year, relative to Sudha Ramakrishnan Sudha Ramakrishnan (= 1×) peers Tajul Ariffin Musa

Countries citing papers authored by Sudha Ramakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Sudha Ramakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Ramakrishnan

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

All Works

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20 of 20 papers shown

Shelton, Chasity M., et al.. (2025). The impact of simulation facilitation on learning outcomes: A systematic review. Clinical Simulation in Nursing. 101. 101718–101718. 3 indexed citations

Persico, Lori, Sudha Ramakrishnan, Barbara Wilson-Keates, et al.. (2025). Healthcare Simulation Standard of Best Practice® Prebriefing: Preparation and briefing. Clinical Simulation in Nursing. 105. 101777–101777.

Persico, Lori, Sudha Ramakrishnan, Barbara Wilson-Keates, et al.. (2025). Examining the Impact of the Healthcare Simulation Standards of Best Practice Prebriefing: Preparation and Briefing Standard on Simulation Effectiveness: A systematic review. Clinical Simulation in Nursing. 101. 101717–101717. 4 indexed citations

Ramakrishnan, Sudha, et al.. (2025). Building an efficient Deep Fake detection system using the recognition capabilities of convolutional neural networks and transformers. Discover Computing. 28(1).

Persico, Lori, Sudha Ramakrishnan, Robert D. Catena, et al.. (2024). The Impact of Prebriefing on Simulation Learning Outcomes – A Systematic Review Protocol. Clinical Simulation in Nursing. 89. 101507–101507. 1 indexed citations

Leeds, Steven G., Titus McGowan, Sudha Ramakrishnan, et al.. (2024). The use of poly-4-hydroxybutyrate (P4HB, Phasix™) mesh in ventral hernia repair: a systematic review and meta-analysis. Hernia. 28(4). 989–1004. 3 indexed citations

Graca, Briget da, Sudha Ramakrishnan, Macey L. Levan, et al.. (2024). A scoping review of the legal and ethical challenges with the use of normothermic regional perfusion in controlled donation after circulatory determination of death from 2005 to 2023. American Journal of Transplantation. 25(1). 102–114. 2 indexed citations

Johnson, Brett A., et al.. (2024). Study protocol of a systematic review and metaanalysis of stress and burnout among general surgery residents. Baylor University Medical Center Proceedings. 37(4). 640–645.

Leeds, Steven G., Titus McGowan, Sudha Ramakrishnan, et al.. (2023). Gastric per-oral endoscopic myotomy versus pyloric injection of botulinum toxin for the treatment of gastroparesis: our institutional experience and a systematic review of the literature. Surgical Endoscopy. 37(9). 7280–7287. 2 indexed citations

10.

Ward, Marc A., et al.. (2023). Coated poly-4-hydroxybutyrate (Phasix ST™) mesh is safe and effective for hiatal hernia repair: our institutional experience and review of the literature. Surgical Endoscopy. 38(2). 830–836. 1 indexed citations

11.

Ramakrishnan, Sudha, et al.. (2022). Acute Alcohol-Associated Hepatitis in the COVID-19 Pandemic — a Structured Review. Current Transplantation Reports. 9(4). 227–239. 5 indexed citations

12.

Ramakrishnan, Sudha, et al.. (2020). Burnt Area Detection Using Sar Data – A Case Study of May, 2020 Uttarakand Forest Fire. 241–245. 2 indexed citations

13.

Usha, Tune, et al.. (2018). Evaluation of tsunami inundation using synthetic aperture radar (SAR) data and numerical modeling. Natural Hazards. 92(3). 1419–1432. 6 indexed citations

14.

Periasamy, Shoba & Sudha Ramakrishnan. (2016). Modeling the contributing factors of desertification and evaluating their relationships to the soil degradation process through geomatic techniques. Solid Earth. 7(2). 341–354. 29 indexed citations

15.

Raja, N. Sri Madhava, G. Kavitha, & Sudha Ramakrishnan. (2014). Analysis of Vasculature Detection in Human Retinal Images UsingBacterial Foraging Optimization Based Multi Thresholding. 3(1). 1–8. 4 indexed citations

16.

Ramakrishnan, Sudha, et al.. (2014). A COMPARATIVE STUDY ON UTILIZATION OF MULTI-SENSOR SATELLITE DATA TO DETECT POTENTIAL FISHING ZONE (PFZ). The international archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1017–1026. 11 indexed citations

17.

Ramakrishnan, Sudha, et al.. (2013). Projection analysis for cadastral mapping. Boletim de Ciências Geodésicas. 19(4). 729–745. 2 indexed citations

18.

Ramakrishnan, Sudha, et al.. (2012). Digital Cadastral Surveying for Land Encroachment Identification using Spatial Technologies. University of Zagreb University Computing Centre (SRCE). 113–124. 3 indexed citations

19.

Ramakrishnan, Sudha, et al.. (2012). Manual of Medical Laboratory Techniques. Jaypee Brothers Medical Publishers (P) Ltd. eBooks. 12 indexed citations

20.

Prabu, S. & Sudha Ramakrishnan. (2009). Combined use of socio economic analysis, remote sensing and GIS data for landslide hazard mapping using ANN. Journal of the Indian Society of Remote Sensing. 37(3). 409–421. 21 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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