Rajeev Srivastava

2.6k total citations
151 papers, 1.7k citations indexed

About

Rajeev Srivastava is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Rajeev Srivastava has authored 151 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 31 papers in Media Technology. Recurrent topics in Rajeev Srivastava's work include Advanced Image and Video Retrieval Techniques (28 papers), Video Surveillance and Tracking Methods (26 papers) and Image Retrieval and Classification Techniques (22 papers). Rajeev Srivastava is often cited by papers focused on Advanced Image and Video Retrieval Techniques (28 papers), Video Surveillance and Tracking Methods (26 papers) and Image Retrieval and Classification Techniques (22 papers). Rajeev Srivastava collaborates with scholars based in India, United States and Poland. Rajeev Srivastava's co-authors include Subodh Srivastava, Nagendra Singh, Ankit Jaiswal, Rajesh Kumar Dhanaraj, Vibhav Prakash Singh, Alok Kumar Singh Kushwaha, Arvind Kumar Tiwari, Margaret I. Fitch, U.K. Choudhry and Vipin Tiwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Rajeev Srivastava

147 papers receiving 1.6k citations

Peers

Rajeev Srivastava

CVPR

RNMI

Aun Irtaza Pakistan

Ayyaz Hussain Pakistan

Sandra Avila Brazil

Bryan Scotney United Kingdom

Azhar Imran Pakistan

Jana Shafi Saudi Arabia

Tariq M. Khan Pakistan

Ji‐Jiang Yang China

Qian Zhao China

Seba Susan India

Aun Irtaza Pakistan

Rajeev Srivastava

1.2k ×1.4

CVPR

789 ×1.5

362 ×1.1

RNMI

250 ×1.3

187 ×1.4

Citations per year, relative to Rajeev Srivastava Rajeev Srivastava (= 1×) peers Aun Irtaza

Countries citing papers authored by Rajeev Srivastava

Since Specialization

Citations

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

Fields of papers citing papers by Rajeev Srivastava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Srivastava

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

All Works

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20 of 20 papers shown

Srivastava, Rajeev, et al.. (2025). Hyperspectral image classification using hybrid convolutional-based cross-patch retentive network. Computer Vision and Image Understanding. 257. 104382–104382. 2 indexed citations

Jain, Shraddha & Rajeev Srivastava. (2025). LG-TriCapsNet: A lightweight graph capsule framework with nearest neighbor graphs for multi-disease EEG classification. Computers in Biology and Medicine. 195. 110567–110567. 1 indexed citations

Jain, Siddhant, et al.. (2024). HSIRMamba: An effective feature learning for hyperspectral image classification using residual Mamba. Image and Vision Computing. 154. 105387–105387. 5 indexed citations

Srivastava, Subodh, et al.. (2024). A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation. Soft Computing. 28(13-14). 8319–8335. 4 indexed citations

Paul, Subhojit, et al.. (2024). An efficient hyperspectral image classification method using retentive network. Advances in Space Research. 75(2). 1701–1718. 3 indexed citations

Nagi, Ravleen, et al.. (2021). Assessment of knowledge and anxiety levels due to COVID-19 pandemic among health care professionals and general population in Indore City: A cross sectional study. Przeglad Epidemiologiczny. 74(3). 441–448. 4 indexed citations

Srivastava, Rajeev, et al.. (2020). User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters. Machine Vision and Applications. 31(3). 2 indexed citations

Srivastava, Rajeev, et al.. (2020). An efficient modification of generalized gradient vector flow using directional contrast for salient object detection and intelligent scene analysis. Multimedia Tools and Applications. 79(19-20). 13599–13619. 1 indexed citations

Srivastava, Rajeev, et al.. (2020). Design, Analysis, and Implementation of Efficient Framework for Image Annotation. ACM Transactions on Multimedia Computing Communications and Applications. 16(3). 1–24. 1 indexed citations

10.

Srivastava, Rajeev, et al.. (2020). Annotation of images using local binary pattern and local derivative pattern after salient object detection using minimum directional contrast and gradient vector flow. Signal Image and Video Processing. 15(5). 861–869. 2 indexed citations

11.

Tiwari, Arvind Kumar, et al.. (2020). Machine Learning Techniques for Sentiment Analysis: A Review. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 12(2). 72–78. 89 indexed citations

12.

Srivastava, Subodh, et al.. (2019). Computer-Aided Diagnosis for Capsule Endoscopy: From Inception to Future. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 12261–12273. 1 indexed citations

13.

Mehta, A. K., et al.. (2019). Mobile Banking – An Answer to Financial Inclusion in Hilly Rural India.. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 1730–1738. 2 indexed citations

14.

Mehta, A. K., et al.. (2019). Factors Influencing Behavioural Intention to Use Mobile Banking in Champawat District of Uttrakhand. International Journal of Engineering and Advanced Technology. 9(2). 1926–1932. 1 indexed citations

15.

Dhanaraj, Rajesh Kumar, Subodh Srivastava, & Rajeev Srivastava. (2017). A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection. Computer Methods and Programs in Biomedicine. 146. 59–68. 18 indexed citations

16.

Singh, Nagendra & Rajeev Srivastava. (2016). Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter. Computer Methods and Programs in Biomedicine. 129. 40–50. 101 indexed citations

17.

Srivastava, Subodh, et al.. (2016). A partial differential equation-based general framework adapted to Rayleigh's, Rician's and Gaussian's distributed noise for restoration and enhancement of magnetic resonance image. Journal of Medical Physics. 41(4). 254–265. 7 indexed citations

18.

Tiwari, Arvind Kumar & Rajeev Srivastava. (2015). An efficient approach for the prediction of ion channels and their subfamilies. Computational Biology and Chemistry. 58. 205–221. 8 indexed citations

19.

Srivastava, Rajeev, et al.. (2014). Filter vs. Wrapper approach for optimum gene selection of high dimensional gene expression dataset: An analysis with cancer datasets. 1–6. 5 indexed citations

20.

Tiwari, Arvind Kumar & Rajeev Srivastava. (2014). A Survey of Computational Intelligence Techniques in Protein Function Prediction. SHILAP Revista de lepidopterología. 2014. 1–22. 26 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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