Vivek Vaidya

522 total citations
18 papers, 219 citations indexed

About

Vivek Vaidya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vivek Vaidya has authored 18 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vivek Vaidya's work include Medical Image Segmentation Techniques (5 papers), AI in cancer detection (5 papers) and Image Retrieval and Classification Techniques (3 papers). Vivek Vaidya is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), AI in cancer detection (5 papers) and Image Retrieval and Classification Techniques (3 papers). Vivek Vaidya collaborates with scholars based in India, United States and Germany. Vivek Vaidya's co-authors include Junjie Shan, Xiaojie Huang, Hariharan Ravishankar, Nitin Singhal, Varun Jampani, Jayanthi Sivaswamy, Fei Zhao, Chuyang Ye, Soma Biswas and V. Seshagiri Rao and has published in prestigious journals such as PubMed, CERN Document Server (European Organization for Nuclear Research) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Vivek Vaidya

14 papers receiving 207 citations

Peers

Vivek Vaidya

RNMI

PRM

CVPR

Riqiang Gao United States

Paul F. Jäger Germany

Iván Macía Spain

Florin C. Ghesu United States

Tabea Kossen Germany

Ruibin Feng United States

Maurice Samulski Netherlands

Vivek Natarajan United States

Aaron Loh United States

Mohammad Reza Hosseinzadeh Taher United States

Riqiang Gao United States

Vivek Vaidya

213 ×1.5

RNMI

94 ×1.1

115 ×1.6

PRM

97 ×1.6

CVPR

57 ×3.0

Citations per year, relative to Vivek Vaidya Vivek Vaidya (= 1×) peers Riqiang Gao

Countries citing papers authored by Vivek Vaidya

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Vaidya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Vaidya

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

All Works

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18 of 18 papers shown

Patwardhan, Anand V., Vivek Vaidya, & Ashish Kundu. (2024). Automated Consistency Analysis of LLMs. 118–127.

Vaidya, Vivek, et al.. (2023). Study and Development of IOT based Smart Irrigation System using Soil Moisture and Weather Prediction. International Journal for Research in Applied Science and Engineering Technology. 11(5). 769–771. 1 indexed citations

Vaidya, Vivek & Jaideep Vaidya. (2022). Impact of Dimensionality Reduction on Outlier Detection: an Empirical Study. PubMed. 2022. 150–159. 1 indexed citations

Vaidya, Vivek. (2021). Diabetes Detection using Convolutional Neural Network through Feature Sequencing. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(10). 2783–2789. 3 indexed citations

Vaidya, Vivek, et al.. (2021). Data Mining based Prediction of Diabetes using Firefly Optimized Neural Network. 211–215.

Vaidya, Vivek, et al.. (2018). Data Driven: Harnessing Data and AI to Reinvent Customer Engagement. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations

Huang, Xiaojie, Junjie Shan, & Vivek Vaidya. (2017). Lung nodule detection in CT using 3D convolutional neural networks. 379–383. 119 indexed citations

Ravishankar, Hariharan, et al.. (2016). Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. 779–782. 37 indexed citations

Vaidya, Vivek, et al.. (2016). Breast lesion detection and characterization with 3D features. PubMed. 2. 4101–4104. 1 indexed citations

10.

Ye, Chuyang, Vivek Vaidya, & Fei Zhao. (2014). Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information. PubMed. 2014. 2865–2868. 12 indexed citations

11.

Zhao, Fei, et al.. (2014). Topological texture-based method for mass detection in breast ultrasound image. 24. 685–689. 4 indexed citations

12.

Zhao, Fei, et al.. (2014). Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis. 23. 1185–1188. 1 indexed citations

13.

Jampani, Varun, et al.. (2012). Assessment of computational visual attention models on medical images. 1–8. 29 indexed citations

14.

Jampani, Varun, et al.. (2011). Role of expertise and contralateral symmetry in the diagnosis of pneumoconiosis: an experimental study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7966. 79661K–79661K. 1 indexed citations

15.

Pai, Akshay, et al.. (2011). Automated localization of vertebra landmarks in MRI images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79633K–79633K. 2 indexed citations

16.

Vaidya, Vivek, et al.. (2008). Volumetric peeling. 1–4. 1 indexed citations

17.

Vaidya, Vivek, et al.. (2007). Building intuitive 3D interfaces for virtual reality systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6509. 65091X–65091X. 1 indexed citations

18.

Vaidya, Vivek, et al.. (2006). Volume rendering segmented data using 3D textures: a practical approach for intra-operative visualization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6141. 61412Q–61412Q. 2 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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