Ijaz Ahmad

2.5k citations
75 papers · 1.5k indexed · 2 hit papers · h-index 22
Topics
EEG and Brain-Computer Interfaces (11 papers)Brain Tumor Detection and Classification (8 papers)Functional Brain Connectivity Studies (6 papers)

In The Last Decade

Ijaz Ahmad

69 papers receiving 1.4k citations

Hit Papers

A Hybrid Deep Learning-Based Approach for Brain Tumor Cla...20222026202320242022202350100150200

Peers

Ijaz Ahmad
Comparison fields: 5 of 147
  • Artificial Intelligence 426
  • Neurology 284
  • Computer Vision and Pattern Recognition 244
  • Computer Networks and Communications 234
  • Radiology, Nuclear Medicine and Imaging 206
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V. Sowmya India
María A. Zuluaga France
Enmin Song China
Chih‐Cheng Hung United States
Chaosheng Tang China
Houtao Deng United States
Hong Song China
Michał Kawulok Poland
Wei Huang China
Ijaz Ahmad relative to V. Sowmya India V. Sowmya's profile →
Citations per field
00.5×3.0×
V. Sowmya · 1×
Citations per year

Countries citing papers authored by Ijaz Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Ijaz Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ijaz Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Ijaz Ahmad. A scholar is included among the top collaborators of Ijaz Ahmad 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 Ijaz Ahmad. Ijaz Ahmad 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 15
2 11
3 1
4 1
5 5
6 12
7
An Intelligent Intrusion Detection System for Smart Consumer Electronics Networkbreakdown →
100
8 36
9 0
10 42
11 41
12 52
13 6
14 22
15 4
16 44
17
Sump syndrome - A Rarity After Choledochoduodenostomy
1
18 32
19 21
20 12

About Ijaz Ahmad

Ijaz Ahmad is a scholar working on Neurology, Cognitive Neuroscience and Artificial Intelligence, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Brain Tumor Detection and Classification (8 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Neurology (284 citations), Artificial Intelligence (426 citations) and Signal Processing (139 citations). Ijaz Ahmad has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Danish Javeed, Javed Ali Khan, Yousef Ibrahim Daradkeh, Ateeq Ur Rehman, Asaf Raza, Sayed M. Eldin, Prabhat Kumar, Ahmed S. Salama, Habib Hamam and Muhammad Shahid Saeed. Their work appears in journals such as Cancer, Remote Sensing of Environment and IEEE Access.

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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