Ajay Shrestha

2.0k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 5
Topics
Ultrasound Imaging and Elastography (5 papers)Ultrasound and Hyperthermia Applications (5 papers)Metaheuristic Optimization Algorithms Research (2 papers)
Partner nations
United States

In The Last Decade

Ajay Shrestha

10 papers receiving 1.3k citations

Hit Papers

Review of Deep Learning Algorithms and Architectures201920262021202320194008001.2k

Peers

Ajay Shrestha
Comparison fields: 5 of 161
  • Artificial Intelligence 387
  • Computer Vision and Pattern Recognition 250
  • Radiology, Nuclear Medicine and Imaging 195
  • Biomedical Engineering 187
  • Electrical and Electronic Engineering 184
Replace Brian C. Van Essen with:
Brian C. Van Essen United States
Stefan Westberg United States
Mst Shamima Nasrin United States
Yudong Tao United States
Yilin Yan United States
Saad Sadiq United States
Adi Alhudhaif Saudi Arabia
Ying Xue China
Khaled Rasheed United States
Jan Nedoma Czechia
Ajay Shrestha relative to Brian C. Van Essen United States Brian C. Van Essen's profile →
Citations per field
00.5×1.5×2.3×
Brian C. Van Essen · 1×
Citations per year

Countries citing papers authored by Ajay Shrestha

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Shrestha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Shrestha

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Shrestha. A scholar is included among the top collaborators of Ajay Shrestha 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 Ajay Shrestha. Ajay Shrestha 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
Review of Deep Learning Algorithms and Architecturesbreakdown →
1264
2 3
3 16
4 26
5 3
6 0
7 3
8 1
9 7
10 80
11 1

About Ajay Shrestha

Ajay Shrestha is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Health Informatics (24 citations), Computer Vision and Pattern Recognition (250 citations) and Artificial Intelligence (387 citations). Ajay Shrestha has collaborated with scholars based in United States. Frequent co-authors include Ausif Mahmood, Emad S. Ebbini, Hui Yao, Rachana Visaria, John C. Bischof, Wafa Elmannai, Dalong Liu, Khaled Elleithy and Hui Yao. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and Ultrasonic Imaging.

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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