Arathi Arakala

594 citations
29 papers · 399 · h-index 11

Impact in

Papers in

Arathi Arakala

28 papers receiving 385 citations

Peers

Arathi Arakala
Comparison fields: 5 of 67
  • Signal Processing 212
  • Computer Vision and Pattern Recognition 162
  • Parasitology 42
  • Ophthalmology 44
  • Radiology, Nuclear Medicine and Imaging 87
Replace Aglika Gyaourova with:
Aglika Gyaourova United States
Aimi Salihah Abdul Nasir Malaysia
G. Fahmy Egypt
Xiaochao Zhao China
Prateek Verma India
Qingyang Hong China
Paul T. Jayaprakash Malaysia
Luís Rosado Portugal
Chengcheng Li China
Arathi Arakala relative to Aglika Gyaourova United States Aglika Gyaourova's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arathi Arakala

Since Specialization
Citations

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

Fields of papers citing papers by Arathi Arakala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arathi Arakala, 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 Arathi Arakala Line = papers co-authored together Arathi Arakala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 201867
3 201441
4 200633
5 202032
6 200718
7 201117
8 200913
9 201611
10 200911
11 201411
12 201110
13 20099
14 20107
15 20156
16 20105
17 20075
18 20254
19 20084
20 20194

About Arathi Arakala

Arathi Arakala is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems and Ophthalmology, having authored 29 papers that have together received 399 indexed citations. Recurring topics across this work include Biometric Identification and Security (19 papers), Retinal Imaging and Analysis (9 papers), User Authentication and Security Systems (7 papers), Advanced Steganography and Watermarking Techniques (4 papers), Glaucoma and retinal disorders (3 papers), Face recognition and analysis (3 papers), Parasites and Host Interactions (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Signal Processing (212 citations), Computer Vision and Pattern Recognition (162 citations), Parasitology (42 citations), Ophthalmology (44 citations) and Radiology, Nuclear Medicine and Imaging (87 citations). Arathi Arakala has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include K. J. Horadam, Stephen Davis, Seyed Mehdi Lajevardi, Giulio A. De Leo, Manoj Gambhir, Justin V. Remais, Christopher M. Hoover, Jason R. Rohr, Susanne H. Sokolow and Steve A. Johnson. Their work appears in journals such as International Journal of Information Security, IEEE Transactions on Image Processing, IEEE Transactions on Biometrics Behavior and Identity Science, PLoS neglected tropical diseases and Advances in computer vision and pattern recognition.

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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