Hazrat Ali

2.6k citations
119 papers · 1.5k indexed · h-index 19
Topics
AI in cancer detection (11 papers)Speech Recognition and Synthesis (10 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing
Partner nations
PakistanQatarChina

In The Last Decade

Hazrat Ali

111 papers receiving 1.5k citations

Peers

Hazrat Ali
Comparison fields: 5 of 155
  • Artificial Intelligence 519
  • Computer Vision and Pattern Recognition 430
  • Radiology, Nuclear Medicine and Imaging 332
  • Electrical and Electronic Engineering 190
  • Biomedical Engineering 163
Replace Soumya Ranjan Nayak with:
Soumya Ranjan Nayak India
Parvathaneni Naga Srinivasu India
Yan Pei Japan
Adi Alhudhaif Saudi Arabia
Nour Eldeen M. Khalifa Egypt
Tanveer Syeda-Mahmood United States
Kai‐Lung Hua Taiwan
Oge Marques United States
Mohd Shafry Mohd Rahim Malaysia
Mohamed Loey Egypt
Hazrat Ali relative to Soumya Ranjan Nayak India Soumya Ranjan Nayak's profile →
Citations per field
00.5×5.7×
Soumya Ranjan Nayak · 1×
Citations per year

Countries citing papers authored by Hazrat Ali

Since Specialization
Citations

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

Fields of papers citing papers by Hazrat Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hazrat Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Hazrat Ali. A scholar is included among the top collaborators of Hazrat Ali 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 Hazrat Ali. Hazrat Ali 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
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 12
6 2
7 73
8 15
9 0
10 9
11 25
12 1
13 99
14 13
15 1
16 8
17 18
18 7
19
Pashto Spoken Digits database for the automatic speech recognition research
5
20
The development of isolated words pashto automatic speech recognition system
12

About Hazrat Ali

Hazrat Ali is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 119 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Speech Recognition and Synthesis (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Health Informatics (91 citations), Computer Vision and Pattern Recognition (430 citations) and Artificial Intelligence (519 citations). Hazrat Ali has collaborated with scholars based in Pakistan, Qatar and China. Frequent co-authors include Zubair Shah, Talha Iqbal, Shoaib Azmat, Farida Mohsen, Christer Grönlund, Zhongshan Zhang, Waqar Ahmad, Nady El Hajj, Son N. Tran and Artur d’Avila Garcez. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

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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