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

Rakesh Ramakrishnan
Comparison fields: 5 of 53
  • Surgery 21
  • Computer Vision and Pattern Recognition 20
  • Computer Networks and Communications 19
  • Biomedical Engineering 18
  • Artificial Intelligence 18
Replace Roger Schaer with:
Roger Schaer Switzerland
Reinaldo Padilha França Brazil
Sarina Aminizadeh Iran
Bjarne Pfitzner Germany
Shaveta Malik India
Siyao Wang China
Thomas Hepp Germany
Adam Dziedzic United States
Mohammad Tarek Aziz Bangladesh
Jiachen Yang China
Roger Schaer Switzerland View profile →
Citations per field, relative to Rakesh Ramakrishnan
Rakesh Ramakrishnan · 1×
Citations per year, relative to Rakesh Ramakrishnan
Rakesh Ramakrishnan · 1×

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
# Work Indexed citations
1 2
2 3
3 5
4 2
5 1
6 4
7 5
8 5
9 28
10 2
11 26
12 4
13 4
14 0
15 18
16
Fine needle aspiration appearance of clear cell myoepithelioma of the salivary gland.
6

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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