P. Aparna

690 citations
48 papers · 455 · h-index 12

Impact in

Papers in

P. Aparna

44 papers receiving 435 citations

Peers

P. Aparna
Comparison fields: 5 of 88
  • Ophthalmology 113
  • Computer Vision and Pattern Recognition 150
  • Radiology, Nuclear Medicine and Imaging 150
  • Gastroenterology 32
  • Water Science and Technology 53
Replace Qi He with:
Qi He China
Dalal AL-Alimi China
Erdal Özbay Türkiye
P. Mohanaiah India
P. Sathyanarayana Canada
Arkadiusz Kwasigroch Poland
Noelia Vállez Spain
Zhang Shi China
P. Aparna relative to Qi He China Qi He's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Aparna

Since Specialization
Citations

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

Fields of papers citing papers by P. Aparna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside P. Aparna, 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. Aparna Line = papers co-authored together P. Aparna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 201641
3 201941
4 201532
5 200526
6 201824
7 202022
8 202117
9 202117
10 202015
11 202213
12 201612
13 202010
14 20209
15 20207
16 20186
17 20066
18 20246
19 20185
20 20225

About P. Aparna

P. Aparna is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence and Gastroenterology, having authored 48 papers that have together received 455 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (10 papers), Advanced Image Processing Techniques (9 papers), Advanced Data Compression Techniques (7 papers), Gastrointestinal Bleeding Diagnosis and Treatment (6 papers), Advanced Vision and Imaging (6 papers), GNSS positioning and interference (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Wireless Communication Security Techniques (4 papers). The work is most often cited by research in Ophthalmology (113 citations), Computer Vision and Pattern Recognition (150 citations), Radiology, Nuclear Medicine and Imaging (150 citations), Gastroenterology (32 citations) and Water Science and Technology (53 citations). P. Aparna has collaborated with scholars based in India, Switzerland and Australia. Frequent co-authors include Chetan L. Srinidhi, Jeny Rajan, Pathipati Srihari, Bethi Pardhasaradhi, Muthupandian Ashokkumar, Sundaram Ganesh Babu, Bernaurdshaw Neppolian, J. Madhusudana Rao, Amtul Z. Ali and Ashok Kumar Tiwari. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control, Journal of Visual Communication and Image Representation, IEEE Transactions on Image Processing and Journal of Medical Systems.

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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