Arfan Jaffar

1.1k total citations
59 papers, 590 citations indexed

About

Arfan Jaffar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arfan Jaffar has authored 59 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arfan Jaffar's work include AI in cancer detection (14 papers), Brain Tumor Detection and Classification (12 papers) and COVID-19 diagnosis using AI (9 papers). Arfan Jaffar is often cited by papers focused on AI in cancer detection (14 papers), Brain Tumor Detection and Classification (12 papers) and COVID-19 diagnosis using AI (9 papers). Arfan Jaffar collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Arfan Jaffar's co-authors include Sheeraz Akram, Tehreem Masood, Muhammad Rashid, Iftikhar Naseer, Sohail Masood Bhatti, Muhammad Sharif, Muhammad Ramzan, Muhammad Adnan Khan, Amir Mosavi and Zulfiqar Ali and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Arfan Jaffar

50 papers receiving 545 citations

Peers

Arfan Jaffar
Comparison fields: 5 of 92
  • Artificial Intelligence 231
  • Radiology, Nuclear Medicine and Imaging 207
  • Computer Vision and Pattern Recognition 165
  • Neurology 115
  • Pulmonary and Respiratory Medicine 104
Replace Sheeraz Akram with:
Sheeraz Akram Pakistan
Arnisha Akhter Bangladesh
Asim Munir Pakistan
Jing Xue China
N. Veeranjaneyulu India
Woong-Kee Loh South Korea
Saeed Iqbal Pakistan
Reinel Tabares-Soto Colombia
Hamza Aldabbas Jordan
Muhammad Irfan Sharif Pakistan
Sheeraz Akram Pakistan View profile →
Citations per field, relative to Arfan Jaffar
Arfan Jaffar · 1×
Citations per year, relative to Arfan Jaffar
Arfan Jaffar · 1×

Countries citing papers authored by Arfan Jaffar

Since Specialization
Citations

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

Fields of papers citing papers by Arfan Jaffar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arfan Jaffar

This figure shows the co-authorship network connecting the top 25 collaborators of Arfan Jaffar. A scholar is included among the top collaborators of Arfan Jaffar 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 Arfan Jaffar. Arfan Jaffar 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 1
4 7
5 0
6 1
7 0
8 1
9 2
10 1
11 10
12 0
13 39
14 12
15 7
16 58
17
Multimodal Brain Tumor Segmentation using Neighboring Image Features
6
18
Preprocessing digital breast mammograms using adaptive weighted frost filter
10
19 2
20 12

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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