Ragav Venkatesan

493 total citations
9 papers, 133 citations indexed

About

Ragav Venkatesan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Ragav Venkatesan has authored 9 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Signal Processing. Recurrent topics in Ragav Venkatesan's work include Image Retrieval and Classification Techniques (5 papers), Retinal Imaging and Analysis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Ragav Venkatesan is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Retinal Imaging and Analysis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Ragav Venkatesan collaborates with scholars based in United States. Ragav Venkatesan's co-authors include Baoxin Li, Baoxin Li, Baojie Li, Helen K. Li and David Frakes and has published in prestigious journals such as Journal of Electronic Imaging, Journal of Medical Imaging and PubMed.

In The Last Decade

Ragav Venkatesan

8 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ragav Venkatesan United States	4	57	44	34	18	9	9	133
J. F. Chang China	3	53 0.9×	59 1.3×	83 2.4×	4 0.2×	4 0.4×	8	206
Yinghua Fu China	10	151 2.6×	119 2.7×	52 1.5×	74 4.1×	16 1.8×	27	259
Yue Qiu Japan	9	154 2.7×	41 0.9×	32 0.9×	8 0.4×		31	262
Raquel Lazcano Spain	8	42 0.7×	53 1.2×	25 0.7×	2 0.1×	4 0.4×	18	191
Yuanhong Yu China	8	35 0.6×	41 0.9×	3 0.1×	30 1.7×	3 0.3×	33	340
Jan Ernst United States	5	100 1.8×	15 0.3×	35 1.0×	3 0.2×		6	138
Yuting Xiao China	4	66 1.2×	45 1.0×	71 2.1×	2 0.1×	1 0.1×	7	142
Shihao Jiang Australia	3	219 3.8×	19 0.4×	18 0.5×	3 0.2×		4	246
Raúl Arteche Díaz United States	6	95 1.7×	12 0.3×	34 1.0×	2 0.1×		11	187
Takuya Narihira United States	5	201 3.5×	30 0.7×	40 1.2×	2 0.1×	2 0.2×	7	233

Countries citing papers authored by Ragav Venkatesan

Since Specialization

Citations

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

Fields of papers citing papers by Ragav Venkatesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ragav Venkatesan

This figure shows the co-authorship network connecting the top 25 collaborators of Ragav Venkatesan. A scholar is included among the top collaborators of Ragav Venkatesan 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 Ragav Venkatesan. Ragav Venkatesan 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:

9 of 9 papers shown

1.

Venkatesan, Ragav, et al.. (2017). MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images. Journal of Medical Imaging. 4(3). 1–1. 2 indexed citations

2.

Venkatesan, Ragav & Baoxin Li. (2017). Convolutional Neural Networks in Visual Computing. 80 indexed citations

3.

Venkatesan, Ragav, et al.. (2016). On the generality of neural image features. 2011. 41–45. 1 indexed citations

4.

Venkatesan, Ragav, et al.. (2015). Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning. 2605–2613. 10 indexed citations

5.

Venkatesan, Ragav, et al.. (2013). Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 86700Q–86700Q. 9 indexed citations

6.

Venkatesan, Ragav, et al.. (2012). Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. PubMed. 2012. 1462–1465. 29 indexed citations

7.

Venkatesan, Ragav, et al.. (2012). A machine-learning approach to retrieving diabetic retinopathy images. 588–589. 1 indexed citations

8.

Venkatesan, Ragav, et al.. (2012). Video deinterlacing with control grid interpolation. 861–864. 1 indexed citations

9.

Venkatesan, Ragav, et al.. (2012). Decomposed multidimensional control grid interpolation for common consumer electronic image processing applications. Journal of Electronic Imaging. 21(4). 43012–43012.

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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