B. Poornima

709 total citations
29 papers, 209 citations indexed

About

B. Poornima is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Media Technology. According to data from OpenAlex, B. Poornima has authored 29 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Plant Science and 6 papers in Media Technology. Recurrent topics in B. Poornima's work include Smart Agriculture and AI (6 papers), Advanced Vision and Imaging (5 papers) and Image Enhancement Techniques (5 papers). B. Poornima is often cited by papers focused on Smart Agriculture and AI (6 papers), Advanced Vision and Imaging (5 papers) and Image Enhancement Techniques (5 papers). B. Poornima collaborates with scholars based in India and Malaysia. B. Poornima's co-authors include Y. Ramadevi, H. S. Nagendraswamy, Kalyani Bhole, M. P. Pavan Kumar, Palaiahnakote Shivakumara, Umapada Pal, Riju Ramachandran Menon, H. P. Vinutha, C. G. Renuka and B G Premasudha and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Supercomputing and CAAI Transactions on Intelligence Technology.

In The Last Decade

B. Poornima

25 papers receiving 187 citations

Peers

B. Poornima

CVPR

RNMI

James Gabriel United States

Bhavneet Kaur India

R. Vijaya Kumar Reddy India

Alexandru Drîmbărean Ireland

Chaoyang Wang China

Purnawarman Musa Indonesia

Hao Kang United States

Lijuan Liu China

Dongchen Han China

Ziyan Wang China

James Gabriel United States

B. Poornima

124 ×1.2

CVPR

14 ×0.4

36 ×1.3

15 ×0.8

7 ×0.5

RNMI

Citations per year, relative to B. Poornima B. Poornima (= 1×) peers James Gabriel

Countries citing papers authored by B. Poornima

Since Specialization

Citations

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

Fields of papers citing papers by B. Poornima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Poornima

This figure shows the co-authorship network connecting the top 25 collaborators of B. Poornima. A scholar is included among the top collaborators of B. Poornima 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. Poornima. B. Poornima 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

Poornima, B., et al.. (2025). Automated Brain Tumor Classification Using MRI Images. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 9(9). 1–9.

Kishore, V. Vijaya, et al.. (2025). Fine-Tuning Pretrained CNN Models for Knee Osteoarthritis Diagnosis: Impact of Layer Freezing and Activation Function Selection. 1–6.

Poornima, B., et al.. (2024). An Effective Noise Removal Technique for Enhancing Ischemic Brain Stroke Computed Tomography Images. 1–6. 1 indexed citations

Poornima, B., et al.. (2024). Enhancing Silkworm Breeding Through Advanced Image Segmentation: A Comparative Study of U-Net, Mask R-CNN, And FCN. 1–6. 1 indexed citations

Poornima, B., et al.. (2023). Implementation of Plant Leaf Disease Detection using K-means Clustering and Neural Networks. International Journal For Multidisciplinary Research. 5(6). 1 indexed citations

Poornima, B., et al.. (2022). Novel hybrid ARIMA–BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice production. Iran Journal of Computer Science. 6(2). 147–159. 1 indexed citations

Poornima, B., et al.. (2022). Seroprevalence of COVID-19 antibody among children aged 5–17 years in an urban and rural area of Ernakulam District, Kerala. Indian Journal of Public Health. 66(5). 66–66.

Shivakumara, Palaiahnakote, et al.. (2022). Multi‐gradient‐direction based deep learning model for arecanut disease identification. CAAI Transactions on Intelligence Technology. 7(2). 156–166. 24 indexed citations

Poornima, B., et al.. (2021). Predictive Model for Rice Blast Disease on Climate Data Using Long Short-Term Memory and Multi-Layer Perceptron: An Empirical Study on Davangere District. Annals of the Romanian Society for Cell Biology. 25(6). 4703–4722. 2 indexed citations

10.

Menon, Riju Ramachandran, et al.. (2021). Pilot of a questionnaire study regarding perception of undergraduate medical students towards online classes. SHILAP Revista de lepidopterología. 10(5). 2016–2021. 5 indexed citations

11.

Kumar, M. P. Pavan, et al.. (2021). Structure-preserving NPR framework for image abstraction and stylization. The Journal of Supercomputing. 77(8). 8445–8513. 27 indexed citations

12.

Shivakumara, Palaiahnakote, et al.. (2021). CNN BASED METHOD FOR MULTI-TYPE DISEASED ARECANUT IMAGE CLASSIFICATION. Malaysian Journal of Computer Science. 34(3). 255–265. 6 indexed citations

13.

Kumar, M. P. Pavan, et al.. (2021). A Refined Structure Preserving Image Abstraction Framework as a Pre-Processing Technique for Desire Focusing on Prominent Structure and Artistic Stylization. Vietnam Journal of Computer Science. 8(4). 529–583. 3 indexed citations

14.

Poornima, B., et al.. (2021). Image-Abstraction Framework as a Preprocessing Technique for Extraction of Text From Underexposed Complex Background and Graphical Embossing Images. 13(1). 1–35. 2 indexed citations

15.

Poornima, B., et al.. (2021). Structure Preserving Non-Photorealistic Rendering Framework for Image Abstraction and Stylization of Low-Illuminated and Underexposed Images. 11(2). 22–45. 5 indexed citations

16.

Poornima, B., et al.. (2020). STRUCTURE PRESERVING IMAGE ABSTRACTION AND ARTISTIC STYLIZATION FROM COMPLEX BACKGROUND AND LOW ILLUMINATED IMAGES. ICTACT Journal on Image and Video Processing. 11(1). 2201–2210. 4 indexed citations

17.

Kumar, M. P. Pavan, et al.. (2019). A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization. Iran Journal of Computer Science. 2(3). 131–165. 23 indexed citations

18.

Poornima, B., et al.. (2015). Etiological Spectrum of Chronic Kidney Disease in Young: A Single Center Study from South India. 2(2). 55–55. 2 indexed citations

19.

Poornima, B., et al.. (2013). Image Registration Techniques for Satellite and Medical Images: A Survey. 1 indexed citations

20.

Poornima, B., et al.. (2011). Threshold Based Edge Detection Algorithm. International Journal of Engineering and Technology. 3(4). 400–403. 16 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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