Fiaz Gul Khan

1.4k citations
32 papers · 893 indexed · 1 hit paper · h-index 12
Topics
Retinal Imaging and Analysis (5 papers)Parallel Computing and Optimization Techniques (5 papers)Digital Imaging for Blood Diseases (4 papers)

In The Last Decade

Fiaz Gul Khan

31 papers receiving 831 citations

Hit Papers

A Deep Learning Ensemble Approach for Diabetic Retinopath...20192026202120232019100200300

Peers

Fiaz Gul Khan
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 547
  • Ophthalmology 274
  • Computer Vision and Pattern Recognition 265
  • Health Information Management 250
  • Artificial Intelligence 141
Replace S. Prabakaran with:
S. Prabakaran India
Chengzhang Zhu China
Said Jai Andaloussi Morocco
Hyuk-Yoon Kwon South Korea
Somsak Choomchuay Thailand
Ghadah Naif Alwakid Saudi Arabia
Saturnino Vicente-Díaz Spain
Naveed Abbas Pakistan
Abdulkareem Alzahrani Saudi Arabia
Aran Safir United States
Fiaz Gul Khan relative to S. Prabakaran India S. Prabakaran's profile →
Citations per field
00.5×6.1×
S. Prabakaran · 1×
Citations per year

Countries citing papers authored by Fiaz Gul Khan

Since Specialization
Citations

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

Fields of papers citing papers by Fiaz Gul Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiaz Gul Khan. 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 Fiaz Gul Khan. The network helps show where Fiaz Gul Khan may publish in the future.

Co-authorship network of co-authors of Fiaz Gul Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Fiaz Gul Khan. A scholar is included among the top collaborators of Fiaz Gul Khan 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 Fiaz Gul Khan. Fiaz Gul Khan 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 1
3 5
4 15
5 0
6 6
7 31
8 2
9 17
10 4
11
A Deep Learning Ensemble Approach for Diabetic Retinopathy Detectionbreakdown →
399
12
Profitability and Working Capital Management Nexus: Evidence from Food & Personal Care Products Sector Firms Listed on Pakistan Stock Exchange
3
13 30
14 9
15 8
16 15
17 2
18 3
19 24
20 21

About Fiaz Gul Khan

Fiaz Gul Khan is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Health Information Management, having authored 32 papers that have together received 893 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Health Information Management (250 citations), Ophthalmology (274 citations) and Radiology, Nuclear Medicine and Imaging (547 citations). Fiaz Gul Khan has collaborated with scholars based in Pakistan, Saudi Arabia and Italy. Frequent co-authors include Sajid Shah, Ahmad Khan, Zia ur Rehman, Iftikhar Ahmed Khan, Waqas Jadoon, Shahaboddin Shamshirband, Farman Ali, Sangheon Pack, Zubair Khan and Babar Nazir. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.

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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