Vijaya Choudhary

495 total citations
11 papers, 310 citations indexed

About

Vijaya Choudhary is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vijaya Choudhary has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Analytical Chemistry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vijaya Choudhary's work include Smart Agriculture and AI (4 papers), Leaf Properties and Growth Measurement (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Vijaya Choudhary is often cited by papers focused on Smart Agriculture and AI (4 papers), Leaf Properties and Growth Measurement (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Vijaya Choudhary collaborates with scholars based in India, Italy and United States. Vijaya Choudhary's co-authors include Christopher G. Chute, R. Li, Suzette J. Bielinski, Leslie Spangler, Melissa Basford, Peggy Peissig, Joshua C. Denny, Katherine M. Newton, Luke V. Rasmussen and Iftikhar J. Kullo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Environmental and Sustainability Indicators.

In The Last Decade

Vijaya Choudhary

8 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vijaya Choudhary India	4	133	117	81	44	43	11	310
R. Li China	3	129 1.0×	122 1.0×	81 1.0×	44 1.0×	43 1.0×	4	297
Peter Speltz United States	7	155 1.2×	157 1.3×	100 1.2×	36 0.8×	64 1.5×	11	398
Tanya Podchiyska United States	7	169 1.3×	129 1.1×	106 1.3×	30 0.7×	18 0.4×	10	389
Noah Weston United States	3	115 0.9×	145 1.2×	89 1.1×	43 1.0×	91 2.1×	4	342
Richard C. Kiefer United States	13	176 1.3×	161 1.4×	109 1.3×	41 0.9×	24 0.6×	33	367
Lisa Bastarache United States	10	117 0.9×	151 1.3×	58 0.7×	18 0.4×	30 0.7×	23	323
Jomol Mathew United States	11	108 0.8×	85 0.7×	23 0.3×	45 1.0×	78 1.8×	24	692
Preethi Raghavan United States	10	404 3.0×	236 2.0×	119 1.5×	54 1.2×	27 0.6×	25	585
Maryam Y. Garza United States	8	85 0.6×	52 0.4×	104 1.3×	40 0.9×	11 0.3×	33	293
Michael Mendis United States	9	120 0.9×	161 1.4×	139 1.7×	40 0.9×	56 1.3×	14	476

Countries citing papers authored by Vijaya Choudhary

Since Specialization

Citations

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

Fields of papers citing papers by Vijaya Choudhary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijaya Choudhary

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

11 of 11 papers shown

1.

Choudhary, Vijaya, et al.. (2025). An overview of smart agriculture using internet of things (IoT) and web services. Environmental and Sustainability Indicators. 26. 100607–100607. 15 indexed citations

2.

Choudhary, Vijaya, et al.. (2025). Data-Driven Machine Learning Models for State of Health Estimation of Lithium-Ion Batteries. 1–6.

3.

Choudhary, Vijaya, et al.. (2025). Personalized Adaptive Learning Technologies Based on AI-ML. SSRN Electronic Journal.

4.

Choudhary, Vijaya, et al.. (2024). AI Mediated Surface Waste Auto-Detection on Water Bodies Using Cutting Edge Technology. 336–340. 1 indexed citations

5.

Choudhary, Vijaya, et al.. (2023). Automatic classification of cowpea leaves using deep convolutional neural network. SHILAP Revista de lepidopterología. 4. 100209–100209. 3 indexed citations

6.

Choudhary, Vijaya, et al.. (2022). Edge Detection of Variety of Cowpea Leaves Using OpenCV and Deep Learning. 27. 1312–1316. 3 indexed citations

7.

Choudhary, Vijaya, et al.. (2022). Analysis and Comparison of DES, AES, RSA Encryption Algorithms. 1913–1918. 3 indexed citations

8.

Choudhary, Vijaya, et al.. (2021). Automatic Detection of Cowpea leaves Using Image Processing and Inception-V3 Model of Deep Learning. 314–318. 3 indexed citations

9.

Singh, Jaskaran, et al.. (2021). Design and Development of Graphical User Interfaces for Detection of Forest Fires at early stages using Open-Source Technologies. 9688. 218–222.

10.

Choudhary, Vijaya, et al.. (2021). An Overview of Framework and Case Studies Related to ABS in Plant Genetic Resources. Indian Journal of Plant Genetic Resources. 34(1). 25–34. 1 indexed citations

11.

Newton, Katherine M., Peggy Peissig, Suzette J. Bielinski, et al.. (2013). Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network. Journal of the American Medical Informatics Association. 20(e1). e147–e154. 281 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