Rakesh Ramakrishnan

470 total citations
16 papers, 115 citations indexed

About

Rakesh Ramakrishnan is a scholar working on Surgery, Health Information Management and Information Systems. According to data from OpenAlex, Rakesh Ramakrishnan has authored 16 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Health Information Management and 3 papers in Information Systems. Recurrent topics in Rakesh Ramakrishnan's work include Artificial Intelligence in Healthcare (3 papers), Big Data and Business Intelligence (2 papers) and AI in cancer detection (2 papers). Rakesh Ramakrishnan is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Big Data and Business Intelligence (2 papers) and AI in cancer detection (2 papers). Rakesh Ramakrishnan collaborates with scholars based in United States, Canada and India. Rakesh Ramakrishnan's co-authors include J. Logeshwaran, Mehmood Ali Mohammed, Ashar Ata, Nasmin Jiwani, T. Kiruthiga, Ketan Gupta, Balakumar Muniandi and Vikas Malik and has published in prestigious journals such as Surgical Innovation, International Journal of Current Research and Review and PubMed.

In The Last Decade

Rakesh Ramakrishnan

15 papers receiving 114 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rakesh Ramakrishnan United States 6 21 20 19 18 18 16 115
Roger Schaer Switzerland 10 12 0.6× 41 2.0× 6 0.3× 44 2.4× 60 3.3× 18 191
Reinaldo Padilha França Brazil 4 7 0.3× 24 1.2× 15 0.8× 17 0.9× 56 3.1× 8 172
Sarina Aminizadeh Iran 4 5 0.2× 13 0.7× 49 2.6× 18 1.0× 70 3.9× 8 219
Bjarne Pfitzner Germany 7 19 0.9× 18 0.9× 24 1.3× 22 1.2× 160 8.9× 16 234
Shaveta Malik India 8 9 0.4× 24 1.2× 24 1.3× 4 0.2× 38 2.1× 18 210
Siyao Wang China 3 8 0.4× 21 1.1× 35 1.8× 20 1.1× 164 9.1× 11 239
Thomas Hepp Germany 9 13 0.6× 12 0.6× 49 2.6× 10 0.6× 26 1.4× 13 399
Adam Dziedzic United States 10 25 1.2× 15 0.8× 61 3.2× 14 0.8× 115 6.4× 17 210
Mohammad Tarek Aziz Bangladesh 9 5 0.2× 13 0.7× 20 1.1× 10 0.6× 95 5.3× 29 220
Jiachen Yang China 9 16 0.8× 6 0.3× 5 0.3× 31 1.7× 33 1.8× 18 140

Countries citing papers authored by Rakesh Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Ramakrishnan

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

All Works

16 of 16 papers shown
1.
Ramakrishnan, Rakesh, et al.. (2024). The Utilization of AI Extends Beyond Payment Systems to E-Commerce Store Development. 555–560. 2 indexed citations
3.
Ramakrishnan, Rakesh, et al.. (2024). Employing AI and ML in Risk Assessment for Lending for Assessing Credit Worthiness. 561–566. 5 indexed citations
4.
Ramakrishnan, Rakesh, et al.. (2024). An Enhanced Optimization of Machine Learning Model in Prostate Cancer Detection. 184–190. 2 indexed citations
5.
Muniandi, Balakumar, et al.. (2024). An Emperical Way to Diagnose the Cancer Stages Using Algorithm in AI System. 177–183. 1 indexed citations
6.
Ramakrishnan, Rakesh, et al.. (2023). A Load Balancing Architecture to Improve the Security of Cloud Computing in the Disease Management Centers. 1299–1305. 4 indexed citations
7.
Mohammed, Mehmood Ali, et al.. (2023). The Spreading Prediction and Severity Analysis of Blood Cancer Using Scale-Invariant Feature Transform. 1–7. 5 indexed citations
9.
Ramakrishnan, Rakesh, et al.. (2023). An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning. 1–7. 28 indexed citations
10.
Ramakrishnan, Rakesh, et al.. (2023). Emerging Cyber Security and Brute Force Attacks in Hospital Management Information Systems. 421–426. 2 indexed citations
12.
Ramakrishnan, Rakesh. (2022). BLOCKCHAIN TECHNOLOGY AND ITS IMPACT ON THE GLOBAL ECONOMY. International Journal of Advanced Research. 10(8). 1171–1173. 4 indexed citations
13.
Ramakrishnan, Rakesh. (2022). Contingency Planning To Ensure Business-As-Usual. International Journal of Progressive Sciences and Technologies. 34(2). 476–476. 4 indexed citations
14.
Malik, Vikas & Rakesh Ramakrishnan. (2021). Efficacy of Push-Ups on a Fitness Structure Compared to that on the Ground on Upper Body Muscular Activation in Healthy Indian Males – A Comparative Study. International Journal of Current Research and Review. 13(11). 137–141.
15.
Ata, Ashar, et al.. (2010). Reverse Alignment “Mirror Image” Visualization as a Laparoscopic Training Tool Improves Task Performance. Surgical Innovation. 17(2). 108–113. 18 indexed citations
16.
Ramakrishnan, Rakesh, et al.. (2001). Fine needle aspiration appearance of clear cell myoepithelioma of the salivary gland.. PubMed. 45(5). 896–7. 6 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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