Pradeep Anand Ravindranath

798 total citations · 1 hit paper
10 papers, 516 citations indexed

About

Pradeep Anand Ravindranath is a scholar working on Molecular Biology, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pradeep Anand Ravindranath has authored 10 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Health Information Management and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pradeep Anand Ravindranath's work include Artificial Intelligence in Healthcare (2 papers), Machine Learning in Healthcare (2 papers) and Computational Drug Discovery Methods (2 papers). Pradeep Anand Ravindranath is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Machine Learning in Healthcare (2 papers) and Computational Drug Discovery Methods (2 papers). Pradeep Anand Ravindranath collaborates with scholars based in United States and India. Pradeep Anand Ravindranath's co-authors include Michel F. Sanner, Arthur J. Olson, David S. Goodsell, Stefano Forli, K. Ramji, Gustavo Jimenez‐Maggiora, Michael S. Rafii, Paul Aisen, Vedam L. Ramprasad and Ravi Philip Rajkumar and has published in prestigious journals such as Bioinformatics, PLoS Computational Biology and Alzheimer s & Dementia.

In The Last Decade

Pradeep Anand Ravindranath

9 papers receiving 509 citations

Hit Papers

AutoDockFR: Advances in Protein-Ligand Docking with Expli... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility
    2015 431 citations Pradeep Anand Ravindranath, Stefano Forli et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Anand Ravindranath United States 3 308 209 71 53 53 10 516
Letícia C. Assis Brazil 10 233 0.8× 256 1.2× 80 1.1× 64 1.2× 35 0.7× 20 502
Jingyu Lee South Korea 9 250 0.8× 190 0.9× 87 1.2× 36 0.7× 31 0.6× 12 511
Bilal Shaker South Korea 12 426 1.4× 276 1.3× 99 1.4× 51 1.0× 56 1.1× 21 771
Sorin Avram Romania 13 320 1.0× 289 1.4× 116 1.6× 25 0.5× 44 0.8× 43 555
Karim Mahnam Iran 15 279 0.9× 93 0.4× 111 1.6× 47 0.9× 51 1.0× 61 582
Hung-Jin Huang Taiwan 10 350 1.1× 222 1.1× 71 1.0× 53 1.0× 57 1.1× 11 557
Matthew L. Danielson United States 7 354 1.1× 168 0.8× 135 1.9× 38 0.7× 59 1.1× 7 737
Shuaishi Gao China 5 334 1.1× 296 1.4× 46 0.6× 74 1.4× 31 0.6× 5 574
Sunhye Hong South Korea 10 355 1.2× 279 1.3× 126 1.8× 50 0.9× 49 0.9× 13 836
Sarah Tomas‐Hernández Spain 7 234 0.8× 143 0.7× 56 0.8× 61 1.2× 46 0.9× 10 418

Countries citing papers authored by Pradeep Anand Ravindranath

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Anand Ravindranath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Anand Ravindranath. 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 Pradeep Anand Ravindranath. The network helps show where Pradeep Anand Ravindranath may publish in the future.

Co-authorship network of co-authors of Pradeep Anand Ravindranath

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

All Works

10 of 10 papers shown
1.
Ravindranath, Pradeep Anand, et al.. (2020). Self-calibration of sensors using point cloud feature extraction. 2 indexed citations
2.
Shewade, Deepak Gopal, et al.. (2019). Resequencing CYP2D6 Gene in Indian Population: CYP2D6*41 Identified as the Major Reduced Function Allele. Pharmacogenomics. 20(10). 719–729. 3 indexed citations
3.
Ravindranath, Pradeep Anand, et al.. (2018). P1‐345: CLASSIFICATION OF EMOTIONAL RESPONSES IN VIDEO AND AUDIO RECORDINGS USING A CONVOLUTIONAL NEURAL NETWORK. Alzheimer s & Dementia. 14(7S_Part_7). 1 indexed citations
4.
Ravindranath, Pradeep Anand, Rema Raman, Tiffany W. Chow, et al.. (2018). TD‐P‐016: DEEP LEARNING IN AUTOMATED CLASSIFICATION OF ADVERSE EVENTS IN CLINICAL STUDIES OF ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 14(7S_Part_3). 1 indexed citations
5.
Ramji, K., et al.. (2018). Coordinate Reference Frame Technique for Robotic Planar Path Planning. Materials Today Proceedings. 5(9). 19073–19079. 2 indexed citations
6.
7.
Ramji, K., et al.. (2017). Swarm home robots. 139–144.
8.
Ravindranath, Pradeep Anand, Karin Ernström, Rema Raman, et al.. (2017). [P4–007]: MACHINE LEARNING IN AUTOMATED CLASSIFICATION OF ADVERSE EVENTS IN CLINICAL STUDIES OF ALZHEIMER's DISEASE. Alzheimer s & Dementia. 13(7S_Part_26). 1 indexed citations
9.
Ravindranath, Pradeep Anand & Michel F. Sanner. (2016). AutoSite: an automated approach for pseudo-ligands prediction—from ligand-binding sites identification to predicting key ligand atoms. Bioinformatics. 32(20). 3142–3149. 73 indexed citations
10.
Ravindranath, Pradeep Anand, Stefano Forli, David S. Goodsell, Arthur J. Olson, & Michel F. Sanner. (2015). AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility. PLoS Computational Biology. 11(12). e1004586–e1004586. 431 indexed citations breakdown →

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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