Shaveta Arora

671 total citations
33 papers, 459 citations indexed

About

Shaveta Arora is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Shaveta Arora has authored 33 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Media Technology. Recurrent topics in Shaveta Arora's work include Retinal Imaging and Analysis (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Fusion Techniques (6 papers). Shaveta Arora is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Fusion Techniques (6 papers). Shaveta Arora collaborates with scholars based in India and China. Shaveta Arora's co-authors include Jayadev Acharya, Prasanta K. Panigrahi, Aditi Verma, M. Hanmandlu, Kavita Khanna, Gaurav Gupta, Rekha Vig, Latika Singh, Amanpreet Kaur and Kanika Kapoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition Letters.

In The Last Decade

Shaveta Arora

26 papers receiving 431 citations

Peers

Shaveta Arora
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 290
  • Media Technology 120
  • Radiology, Nuclear Medicine and Imaging 113
  • Artificial Intelligence 105
  • Neurology 50
Replace Rohit M. Thanki with:
Rohit M. Thanki India
Osama A. Omer Egypt
Muhammad Sharif Pakistan
Xizhan Gao China
Huan Xu China
Chaowei Fang China
Zhenjie Yao China
Yawen Huang China
Xiaogang Du China
Rohit M. Thanki India View profile →
Citations per field, relative to Shaveta Arora
Shaveta Arora · 1×
Citations per year, relative to Shaveta Arora
Shaveta Arora · 1×

Countries citing papers authored by Shaveta Arora

Since Specialization
Citations

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

Fields of papers citing papers by Shaveta Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaveta Arora

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 3
6 0
7 1
8 3
9 3
10 19
11 26
12 6
13 6
14 5
15 6
16 3
17
An evaluation of mahatma gandhi national rural employment guarantee scheme
0
18 1
19
Modified Edge Detection Technique using Fuzzy Inference System
5
20
An Automated Technique for Optic Disc Detection in Retinal Fundus Images Using Elephant Herding Optimization Algorithm
1

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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