Ankur Choudhary

726 total citations
72 papers, 411 citations indexed

About

Ankur Choudhary is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Software. According to data from OpenAlex, Ankur Choudhary has authored 72 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Plant Science and 14 papers in Software. Recurrent topics in Ankur Choudhary's work include Smart Agriculture and AI (15 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Research (11 papers). Ankur Choudhary is often cited by papers focused on Smart Agriculture and AI (15 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Research (11 papers). Ankur Choudhary collaborates with scholars based in India, United Kingdom and United States. Ankur Choudhary's co-authors include Arun Prakash Agrawal, A.S. Rao, Nisha Deopa, M. Jayasimhadri, D. Haranath, G. Vijaya Prakash, Arvinder Kaur, Anurag Singh Baghel, Nitya Sharma and Jatindra K. Sahu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Hydrocolloids and Energies.

In The Last Decade

Ankur Choudhary

58 papers receiving 385 citations

Peers

Ankur Choudhary

MC

CC

CVPR

EEE

SOFTW

Sen Chen China

Fucai Chen China

Jiawei Liu China

Longxin Zhang China

Fernando Gaxiola Mexico

Zhuo Liu China

Abdoulaye Gamatié France

V. Swaminathan India

Roslina Mohd Sidek Malaysia

Mengjun Li China

Sen Chen China

Ankur Choudhary

36 ×0.4

MC

9 ×0.1

CC

9 ×0.1

CVPR

26 ×0.4

EEE

2 ×0.0

SOFTW

Citations per year, relative to Ankur Choudhary Ankur Choudhary (= 1×) peers Sen Chen

Countries citing papers authored by Ankur Choudhary

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Choudhary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Choudhary

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

20 of 20 papers shown

1.

Choudhary, Ankur, et al.. (2025). A robust zero-watermarking technique for securing medical images using modified ResNet50 and Discrete Cosine transform. 13(3).

2.

Mehta, Shiva, et al.. (2024). Empowering a Violence Prevention with CNN-SVM based Classification. 1–6. 2 indexed citations

3.

Kukreja, Vinay, et al.. (2024). The Future of Crop Health: CNN-Based Smut Disease Detection in Sugarcane. 1–5. 1 indexed citations

4.

Sharma, Rishabh, et al.. (2024). Optimized VGG16 Model for Advanced Classification of Cotton Leaf Diseases. 1–4. 6 indexed citations

5.

Kukreja, Vinay, et al.. (2024). A Fine-tuned Deep Learning-based VGG16 Model for Cotton Leaf Disease Classification. 1–4. 2 indexed citations

6.

Kukreja, Vinay, et al.. (2024). A Fine-Tuned DenseNet Model for an Efficient Maize Leaf Disease Classification. 1–5. 3 indexed citations

7.

Choudhary, Ankur, et al.. (2024). Pioneering Crop Health in Agriculture: Federated Learning CNNs in Papaya Leaf Disease Detection. 1–6. 1 indexed citations

8.

Mehta, Shiva, et al.. (2024). Growing Insights: Federated Learning CNN's in Combatting Sunflower Leaf Diseases. 1–6. 1 indexed citations

9.

Kukreja, Vinay, et al.. (2024). An Automatic Fine-Tuned InceptionV3 Model for Groundnut Leaf Disease Multiclass Classification. 1–6.

10.

Kukreja, Vinay, et al.. (2023). Agricultural Insights Through Federated Learning CNN: A Case Study on Jackfruit Leaf Disease. 36–42.

11.

Choudhary, Ankur, et al.. (2023). PSNR Based Comparative Analysis for Visible and LSB Watermarking to Ascertain Authenticity. 693–699.

12.

Choudhary, Ankur, et al.. (2023). Software Test Case Generation Tools and Techniques: A Review. International Journal of Mathematical Engineering and Management Sciences. 8(2). 293–315. 3 indexed citations

13.

Choudhary, Ankur, et al.. (2023). Price Prediction of Bitcoin using Social Media Activities and Past Trends. 7. 516–521. 7 indexed citations

14.

Choudhary, Ankur, et al.. (2022). A novel chaotic archimedes optimization algorithm and its application for efficient selection of regression test cases. International Journal of Information Technology. 15(2). 1055–1068. 4 indexed citations

15.

Mangipudi, Parthasarathi, Hari Mohan Pandey, & Ankur Choudhary. (2021). Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture. Multimedia Tools and Applications. 80(20). 30143–30163. 11 indexed citations

16.

Choudhary, Ankur, et al.. (2021). Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm. SHILAP Revista de lepidopterología. 13(1). 22–41. 1 indexed citations

17.

Choudhary, Ankur, Anurag Singh Baghel, & Om Prakash Sangwan. (2017). Efficient parameter estimation of software reliability growth models using harmony search. IET Software. 11(6). 286–291. 6 indexed citations

18.

Choudhary, Ankur, Anurag Singh Baghel, & Om Prakash Sangwan. (2016). Software reliability prediction modeling: A comparison of parametric and non-parametric modeling. 649–653. 2 indexed citations

19.

Agarwal, Ridhi, et al.. (2015). Clinical and hematological profile of pancytopenia. International Journal of Clinical Biochemistry and Research. 2(1). 48–53. 6 indexed citations

20.

Agarwal, Pragya, Arvind Kumar, & Ankur Choudhary. (2015). A secure and reliable video watermarking technique. 151–156. 4 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.

Explore authors with similar magnitude of impact