P. Punitha

854 total citations
47 papers, 414 citations indexed

About

P. Punitha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, P. Punitha has authored 47 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 9 papers in Computer Networks and Communications. Recurrent topics in P. Punitha's work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Data Management and Algorithms (8 papers). P. Punitha is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Data Management and Algorithms (8 papers). P. Punitha collaborates with scholars based in India, United Kingdom and Nepal. P. Punitha's co-authors include Madhu S. Nair, D. S. Guru, M. A. Ansari, Alfred Daniel, R. Lakshmana Kumar, P. Nagabhushan, Susheel Kumar Sharma, Mustafa Musa Jaber, M. Iyapparaja and Jitendra Singh Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Environmental Management.

In The Last Decade

P. Punitha

42 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Punitha India 12 188 100 77 47 46 47 414
Anshu Singla India 10 162 0.9× 134 1.3× 158 2.1× 22 0.5× 14 0.3× 38 528
Ernest Mwebaze Uganda 11 104 0.6× 155 1.6× 98 1.3× 12 0.3× 15 0.3× 28 431
Fábio A. Faria Brazil 13 185 1.0× 111 1.1× 61 0.8× 10 0.2× 33 0.7× 45 457
Hongli Deng China 10 304 1.6× 86 0.9× 116 1.5× 36 0.8× 36 0.8× 39 569
Ali Seydi Keçeli Türkiye 10 167 0.9× 286 2.9× 142 1.8× 21 0.4× 10 0.2× 29 639
Aruna Varanasi United States 7 74 0.4× 186 1.9× 132 1.7× 13 0.3× 9 0.2× 13 500
Sofia Visa United States 8 54 0.3× 223 2.2× 142 1.8× 21 0.4× 24 0.5× 20 593
Aydın Kaya Türkiye 10 123 0.7× 286 2.9× 134 1.7× 21 0.4× 8 0.2× 26 635
Yifei Chen China 10 126 0.7× 66 0.7× 87 1.1× 27 0.6× 13 0.3× 52 482
Zaw Zaw Htike Malaysia 13 91 0.5× 49 0.5× 89 1.2× 101 2.1× 5 0.1× 49 457

Countries citing papers authored by P. Punitha

Since Specialization
Citations

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

Fields of papers citing papers by P. Punitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Punitha

This figure shows the co-authorship network connecting the top 25 collaborators of P. Punitha. A scholar is included among the top collaborators of P. Punitha 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 P. Punitha. P. Punitha 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.
Punitha, P., et al.. (2025). Advancing IoT Security with an Innovative Machine Learning Paradigm for Botnet Attack Detection. EAI Endorsed Transactions on Internet of Things. 11. 1 indexed citations
2.
Punitha, P., et al.. (2025). Sustainable energy harvesting techniques for underwater aquatic systems with multi-source and low-energy solutions. Sustainable Computing Informatics and Systems. 46. 101126–101126. 2 indexed citations
3.
Punitha, P., et al.. (2025). Enhancing object detection in underwater aquatic system with YOLO-transformer hybrid model and IoT sensor integration. Journal of Hydroinformatics. 27(10). 1467–1492.
4.
Suresh, C., et al.. (2025). Adaptive AI-Enhanced Signal Processing Framework for Optimized Communication in the Internet of Underwater Things (IOUT). International Journal of Pattern Recognition and Artificial Intelligence. 39(7). 1 indexed citations
5.
Sundaram, M., et al.. (2025). DRF-YOLO: A Transformer-Enhanced Framework for Underwater Image Enhancement and Object Detection. International Journal of Pattern Recognition and Artificial Intelligence. 39(8). 1 indexed citations
6.
Punitha, P., et al.. (2024). Secured Framework with a Hash Function-Enabled Keyword Search in Cloud Storage Services. International Journal of Cooperative Information Systems. 33(3). 4 indexed citations
8.
Devi, M. Shyamala, et al.. (2024). Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification. Intelligent Data Analysis. 29(2). 513–538. 6 indexed citations
9.
Punitha, P., et al.. (2018). Shifting cultivation in North East India: Social dimension, cross cultural reflection and strategies for improvement. The Indian Journal of Agricultural Sciences. 88(6). 811–819. 12 indexed citations
10.
Bhadana, Vijai Pal, M. A. Ansari, P. Punitha, et al.. (2015). Participatory research for assessing the suitability of potential innovations: A case study on high-yielding varieties options for rice farmers in north east India. The Indian Journal of Agricultural Sciences. 85(7). 902–907. 1 indexed citations
11.
Punitha, P., et al.. (2013). Communication Behaviour of Farmers Club. Journal of Community Mobilization and Sustainable Development. 8(1). 5–8.
12.
Bhadana, Vijai Pal, et al.. (2013). Food legumes for livelihood and nutritional security in North Eastern Himalayan Region: Prospects and constraints. The Indian Journal of Agricultural Sciences. 83(9). 899–906. 13 indexed citations
13.
Ansari, M. A., et al.. (2013). Efficacy of boron sources on productivity, profitability and energy use efficiency of groundnut (Arachis hypogaea) under North East Hill Regions. The Indian Journal of Agricultural Sciences. 83(9). 6 indexed citations
14.
Ansari, M. A., et al.. (2013). Comparative study on conventional and improved integrated farming systems for sustainable production, income generation and employment opportunity among the tribal farmers in hilly Regions of Manipur. The Indian Journal of Agricultural Sciences. 83(7). 8 indexed citations
15.
Singh, Shalini & P. Punitha. (2012). Entrepreneurship Development through Anthurium Flower – A Case Study of Mizoram, North-East India. Indian Research Journal of Extension Education. 12(3). 74–78. 1 indexed citations
16.
Punitha, P., et al.. (2012). Gender Differences on Training Needs Among Farmers' Discussion Groups. Indian Research Journal of Extension Education. 12(1). 73–77. 2 indexed citations
17.
Zuccon, Guido, et al.. (2009). The University of Glasgow at ImageClefPhoto 2009. QUT ePrints (Queensland University of Technology). 1 indexed citations
18.
Guru, D. S., S. Manjunath, & P. Punitha. (2009). Topological Triangular Spatial Relationship.. Indian International Conference on Artificial Intelligence. 1873–1886.
19.
Punitha, P., et al.. (2007). Glasgow University at TRECVID 2008. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
20.
Guru, D. S., et al.. (2004). Skew Estimation in Digitised Documents: A Novel Approach. MyPrints@UOM (Mysore University Library). 314–319. 2 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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