P. Punitha

878 citations
46 papers · 404 · h-index 12

Impact in

Papers in

P. Punitha

40 papers receiving 369 citations

Peers

P. Punitha
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 187
  • Biophysics 34
  • Media Technology 36
  • Signal Processing 43
  • Plant Science 101
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Anshu Singla India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside P. Punitha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Punitha Line = papers co-authored together P. Punitha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 202129
3 202017
4 201416
5 200715
6 200315
7 201614
8
Food legumes for livelihood and nutritional security in North Eastern Himalayan Region: Prospects and constraints
201313
9 201813
10 202213
11 200313
12 202311
13 201411
14 201410
15 20069
16
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
20138
17 20247
18
Efficacy of boron sources on productivity, profitability and energy use efficiency of groundnut (Arachis hypogaea) under North East Hill Regions
20136
19 20245
20 20165

About P. Punitha

P. Punitha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, General Agricultural and Biological Sciences and Electrical and Electronic Engineering, having authored 46 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers), Data Management and Algorithms (8 papers), Agricultural Economics and Practices (5 papers), Video Analysis and Summarization (5 papers), Mobile Ad Hoc Networks (4 papers), Underwater Vehicles and Communication Systems (3 papers) and Water Quality Monitoring Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Biophysics (34 citations), Media Technology (36 citations), Signal Processing (43 citations) and Plant Science (101 citations). P. Punitha has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Madhu S. Nair, D. S. Guru, M. A. Ansari, R. Lakshmana Kumar, Susheel Kumar Sharma, C. P. Suresh, P. Nagabhushan, C. B. Sivaparthipan, Pradeep Sharma and Jitendra Singh Yadav. Their work appears in journals such as Pattern Recognition Letters, Wireless Networks, Journal of Environmental Management, Journal of Hydroinformatics and IEEE Transactions on Knowledge and Data Engineering.

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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