Arathi Arakala

22 papers receiving 282 citations

Peers

Arathi Arakala
Comparison fields: 5 of 65
  • Signal Processing 144
  • Parasitology 40
  • Computer Vision and Pattern Recognition 111
  • Ophthalmology 33
  • Information Systems 72
Replace Xiaochao Zhao with:
Xiaochao Zhao China
Aglika Gyaourova United States
Vinod C Nayak India
Qingyang Hong China
Zhihao Peng China
Swarnendu Kumar Chakraborty India
Yanli Shi China
Jindan Zhou United States
Chengcheng Li China
Mahmood Akhtar Australia
Arathi Arakala relative to Xiaochao Zhao China Xiaochao Zhao's profile →
Citations per field
00.5×4.6×
Xiaochao Zhao · 1×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 201859
3 201432
4 202028
5 200619
6 201115
7 200714
8 201411
9 20099
10 20168
11 20117
12 20105
13 20105
14 20183
15 20153
16 20083
17 20202
18 20092
19 20251
20 20211

About Arathi Arakala

Arathi Arakala is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Ecology, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Retinal Imaging and Analysis (7 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 Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Signal Processing (144 citations), Parasitology (40 citations), Computer Vision and Pattern Recognition (111 citations), Ophthalmology (33 citations) and Information Systems (72 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, Christopher M. Hoover, Susanne H. Sokolow, Jason R. Rohr, Justin V. Remais, Manoj Gambhir and Karena H. Nguyen. Their work appears in journals such as International Journal of Information Security, The Lancet Planetary Health, IEEE Transactions on Image Processing, PLoS neglected tropical diseases and Nature Communications.

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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