R Pramodhini

502 citations
11 papers · 264 indexed · 1 hit paper · h-index 3
Topics
Vehicle License Plate Recognition (2 papers)Big Data and Business Intelligence (1 paper)Artificial Intelligence in Healthcare (1 paper)
Journals
Indian Journal of Science and TechnologyMetallurgical and Materials Engineering2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
Partner nations
IndiaIraqUnited States

In The Last Decade

R Pramodhini

5 papers receiving 233 citations

Hit Papers

Plant leaf disease detection using computer vision and ma...2022202620232024202250100150200250

Peers

R Pramodhini
Comparison fields: 5 of 41
  • Plant Science 237
  • Analytical Chemistry 71
  • Ecology 28
  • Cell Biology 16
  • Food Science 10
Replace Veena I Puranikmath with:
Veena I Puranikmath India
Wiqas Ghai India
Malusi Sibiya South Africa
Nidhi Kundu India
Jitong Cai China
Vibhor Kumar Vishnoi India
Ishana Attri India
Pushkar Gole India
Monu Bhagat India
Rajasekaran Thangaraj India
R Pramodhini relative to Veena I Puranikmath India Veena I Puranikmath's profile →
Citations per field
00.5×1.5×
Veena I Puranikmath · 1×
Citations per year

Countries citing papers authored by R Pramodhini

Since Specialization
Citations

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

Fields of papers citing papers by R Pramodhini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Pramodhini

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 0
5 0
6 0
7 1
8 3
9 1
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Plant leaf disease detection using computer vision and machine learning algorithmsbreakdown →
256
11 0

About R Pramodhini

R Pramodhini is a scholar working on Media Technology, Health Information Management and Management Information Systems, having authored 11 papers that have together received 264 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (2 papers), Big Data and Business Intelligence (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Analytical Chemistry (71 citations), Plant Science (237 citations) and Ecology (28 citations). R Pramodhini has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include Sunil S. Harakannanavar, Ayesha Siddiqua, Veena I Puranikmath, S. B. Bhardwaj, Myasar Mundher Adnan, A C Ramachandra and B. Latha. Their work appears in journals such as Indian Journal of Science and Technology, Metallurgical and Materials Engineering and 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon).

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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