Amad Zafar

2.5k citations
78 papers · 1.9k indexed · 2 hit papers · h-index 20

Amad Zafar

71 papers receiving 1.8k citations

Hit Papers

Brain Tumor/Mass Classification Framework Using M...1652019202620212023100200300

Peers

Amad Zafar
Comparison fields: 5 of 127
  • Automotive Engineering 468
  • Neurology 244
  • Renewable Energy, Sustainability and the Environment 246
  • Cognitive Neuroscience 286
  • Radiology, Nuclear Medicine and Imaging 336
Replace Muhammad Umair Ali with:
Muhammad Umair Ali South Korea
Mohsin Jamil Pakistan
H. Metin Ertunç Türkiye
Zhu Xin-jian China
Syed Omer Gilani Pakistan
Hassan Elahi Italy
Bilal Khan Pakistan
Karam Dad Kallu South Korea
Zhiyu Huang China
Amad Zafar relative to Muhammad Umair Ali South Korea Muhammad Umair Ali's profile →
Citations per field
00.5×10×15×18×
Muhammad Umair Ali · 1×
Citations per year

Countries citing papers authored by Amad Zafar

Since Specialization
Citations

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

Fields of papers citing papers by Amad Zafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amad Zafar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amad Zafar Line = papers co-authored together Amad Zafar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 202311
4 202327
5 20231
6 20238
7 202317
8 202316
9 202318
10 202311
11 20226
12 20229
13
Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Modelbreakdown →
2022165
14 20227
15 20221
16 202121
17 202140
18 202110
19
Cortical activation during voluntary and passive movement of human index finger
20180
20
Determination of the parameters in the designed hemodynamic response function using Nelder-Mead algorithm
20182

About Amad Zafar

Amad Zafar is a scholar working on Radiology, Nuclear Medicine and Imaging, General Dentistry and Neurology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Optical Imaging and Spectroscopy Techniques (19 papers), Non-Invasive Vital Sign Monitoring (16 papers), Brain Tumor Detection and Classification (8 papers), Advanced Battery Technologies Research (8 papers), Photovoltaic System Optimization Techniques (6 papers), Solar Radiation and Photovoltaics (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Automotive Engineering (468 citations), Neurology (244 citations) and Renewable Energy, Sustainability and the Environment (246 citations). Amad Zafar has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Muhammad Umair Ali, Keum‐Shik Hong, Sarvar Hussain Nengroo, Muhammad Junaid Alvi, Sadam Hussain, Karam Dad Kallu, Hee‐Je Kim, Jan Schjødt‐Thomsen, Jens Chr. M. Rauhe and Manzar Masud. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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2026