Amin Ul Haq

97 papers receiving 2.5k citations

Hit Papers

A Hybrid Intelligent System Framework for the Prediction ...2018202620202023201820202021100200300

Peers

Amin Ul Haq
Comparison fields: 5 of 165
  • Artificial Intelligence 1.1k
  • Health Information Management 913
  • Radiology, Nuclear Medicine and Imaging 501
  • Information Systems 413
  • Computer Vision and Pattern Recognition 357
Replace Senthilkumar Mohan with:
Senthilkumar Mohan India
Liaqat Ali Pakistan
Javed Ali Khan Pakistan
Paweł Pławiak Poland
Asif Karim Australia
İbrahim Türkoğlu Türkiye
Aditya Khamparia India
F. M. Javed Mehedi Shamrat Bangladesh
Ibomoiye Domor Mienye South Africa
Muhammad Umer Pakistan
Amin Ul Haq relative to Senthilkumar Mohan India Senthilkumar Mohan's profile →
Citations per field
00.5×
Senthilkumar Mohan · 1×
Citations per year

Countries citing papers authored by Amin Ul Haq

Since Specialization
Citations

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

Fields of papers citing papers by Amin Ul Haq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amin Ul Haq. 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 Amin Ul Haq. The network helps show where Amin Ul Haq may publish in the future.

Co-authorship network of co-authors of Amin Ul Haq

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Ul Haq. A scholar is included among the top collaborators of Amin Ul Haq 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 Amin Ul Haq. Amin Ul Haq 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 6
2 0
3 1
4 0
5 2
6 32
7 2
8 1
9 3
10 21
11 3
12 8
13 17
14 50
15 2
16 41
17
PERCUTANEOUS NEPHROSTOMY FOR THE RELIEF OF UPPER URINARY TRACT OBSTRUCTION: AN EXPERIENCE WITH 200 CASES
7
18
ASSOCIATION OF SERUM URIC ACID WITH OBESITY
5
19
METASTATIC ADENOCARCINOMA OF THE URINARY BLADDER FROM A PRIMARY GASTRIC CANCER: A CASE REPORT
0
20
EFFECT OF NOISE ON HEART RATE
3

About Amin Ul Haq

Amin Ul Haq is a scholar working on Health Information Management, Neurology and Artificial Intelligence, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (14 papers) and COVID-19 diagnosis using AI (13 papers). The work is most often cited by research in Health Information Management (913 citations), Medical Laboratory Technology (111 citations) and Health Informatics (70 citations). Amin Ul Haq has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Jianping Li, Shah Nazir, Muhammad Hammad Memon, Jalaluddin Khan, Abdus Saboor, Salah Ud Din, Asif Khan, Amjad Ali, Sultan Ahmad and Tanvir Ahmad. Their work appears in journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and The American Journal of Cardiology.

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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