B R Pushpa

489 total citations
41 papers, 304 citations indexed

About

B R Pushpa is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, B R Pushpa has authored 41 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 12 papers in Analytical Chemistry and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in B R Pushpa's work include Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (12 papers) and Leaf Properties and Growth Measurement (8 papers). B R Pushpa is often cited by papers focused on Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (12 papers) and Leaf Properties and Growth Measurement (8 papers). B R Pushpa collaborates with scholars based in India, United States and Thailand. B R Pushpa's co-authors include N. Shobha Rani, N Manohar, Lakshmi Puzhankara, R. Vasuki, Brijesh Kumar, Davinder Kumar, R. M. Gomathi and Rabindra Prasad and has published in prestigious journals such as Neural Computing and Applications, Ecological Informatics and Data in Brief.

In The Last Decade

B R Pushpa

37 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B R Pushpa India 11 130 86 78 71 43 41 304
Shiyun Wa China 10 216 1.7× 60 0.7× 41 0.5× 60 0.8× 24 0.6× 10 339
Kamrul Hasan Talukder Bangladesh 8 105 0.8× 92 1.1× 50 0.6× 61 0.9× 23 0.5× 43 273
M. Suresha India 13 109 0.8× 106 1.2× 170 2.2× 83 1.2× 75 1.7× 30 429
R.S. Latha India 10 91 0.7× 71 0.8× 46 0.6× 47 0.7× 26 0.6× 33 292
Suresh N. Mali India 12 76 0.6× 149 1.7× 85 1.1× 70 1.0× 43 1.0× 33 354
Mbuyu Sumbwanyambe South Africa 6 220 1.7× 59 0.7× 40 0.5× 106 1.5× 23 0.5× 59 350
V G Narendra India 9 149 1.1× 35 0.4× 38 0.5× 122 1.7× 65 1.5× 33 331
Gulshan Saleem Pakistan 7 147 1.1× 153 1.8× 110 1.4× 62 0.9× 11 0.3× 15 357
R.C. Suganthe India 12 70 0.5× 68 0.8× 98 1.3× 40 0.6× 69 1.6× 42 365

Countries citing papers authored by B R Pushpa

Since Specialization
Citations

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

Fields of papers citing papers by B R Pushpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B R Pushpa. 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 B R Pushpa. The network helps show where B R Pushpa may publish in the future.

Co-authorship network of co-authors of B R Pushpa

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

All Works

20 of 20 papers shown
1.
2.
Pushpa, B R, N Manohar, & N. Shobha Rani. (2025). StarNet: Indian star gooseberries dataset for quality and maturity assessment. Data in Brief. 61. 111825–111825.
3.
Pushpa, B R, et al.. (2024). HybNet: A hybrid deep models for medicinal plant species identification. MethodsX. 14. 103126–103126. 3 indexed citations
4.
Rani, N. Shobha, et al.. (2024). Infield disease detection in citrus plants: integrating semantic segmentation and dynamic deep learning object detection model for enhanced agricultural yield. Neural Computing and Applications. 36(35). 22485–22510. 3 indexed citations
5.
Pushpa, B R, et al.. (2024). Almond Quality Assessment using Deep Learning Techniques. 771–776.
6.
7.
Pushpa, B R, et al.. (2024). Corn Plant Disease Detection at Initial Stage Using Deep Learning Models. 756–763. 1 indexed citations
8.
Pushpa, B R, et al.. (2024). Early-Stage Disease Prediction in Chilli Plant Using YOLO Models. 1–9. 1 indexed citations
9.
Pushpa, B R, et al.. (2023). Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification. Journal of Applied Research on Medicinal and Aromatic Plants. 34. 100459–100459. 26 indexed citations
10.
Pushpa, B R, et al.. (2023). Exploring the Capability of NASNet Model for Plant Classification on GRASP-125 Dataset. 77. 1–6. 1 indexed citations
11.
Rani, N. Shobha, et al.. (2023). On-spot Citrus Canker Disease Detection using YOLOv7. 944–949. 4 indexed citations
12.
Pushpa, B R, et al.. (2023). DIMPSAR: Dataset for Indian medicinal plant species analysis and recognition. Data in Brief. 49. 109388–109388. 19 indexed citations
13.
Manohar, N, et al.. (2022). Classification of Medicinal Leaf by Using Canny Edge Detection and SVM Classifier. 1–6. 7 indexed citations
14.
Pushpa, B R, et al.. (2022). Mango Fruit Classification using Computer Vision System. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 1797–1802. 5 indexed citations
15.
Pushpa, B R, et al.. (2021). Plant Disease Detection and Classification Using Deep Learning Model. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1285–1291. 34 indexed citations
16.
Pushpa, B R, et al.. (2019). E Blood Bank Application using GPS and Cloud Computing. International Journal of Engineering and Advanced Technology. 9(2). 3246–3249. 2 indexed citations
17.
Pushpa, B R, et al.. (2019). Detection and classification of brain tumor using machine learning approaches. International Journal of Research in Pharmaceutical Sciences. 10(3). 2153–2162. 12 indexed citations
18.
Pushpa, B R, et al.. (2018). An approach towards efficient search based information retrieval over encrypted cloud data. Journal of Advanced Research in Dynamical and Control Systems. 10(3). 2 indexed citations
19.
Pushpa, B R, et al.. (2018). Data hiding by means of color cryptography and optimum value transfer method. Journal of Advanced Research in Dynamical and Control Systems. 10(3). 3 indexed citations
20.
Pushpa, B R, et al.. (2014). Estimation of Relation between Financial Variables and Gold Price Using Fuzzy Multiple Linear Regression. IOSR Journal of Business and Management. 16(2). 17–23.

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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