Hammad Majeed

649 citations
27 papers · 347 · h-index 12

Impact in

    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • AI in cancer detection
    • Sentiment Analysis and Opinion Mining

Papers in

Hammad Majeed

26 papers receiving 327 citations

Peers

Hammad Majeed
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 120
  • Artificial Intelligence 160
  • Media Technology 30
  • Information Systems 56
  • Signal Processing 25
Replace Anisha P Rodrigues with:
Anisha P Rodrigues India
Hwan-Seung Yong South Korea
Parminder Kaur India
Ahmed Mueen Saudi Arabia
Sushma Jaiswal India
R. Raja Subramanian India
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Chenglang Lu China
Qingqiang Wu China
Hamam Mokayed Sweden
Hammad Majeed relative to Anisha P Rodrigues India Anisha P Rodrigues's profile →
Citations per field
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Anisha P Rodrigues · 1×
Citations per year

Countries citing papers authored by Hammad Majeed

Since Specialization
Citations

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

Fields of papers citing papers by Hammad Majeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Hammad Majeed, 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 Hammad Majeed Line = papers co-authored together Hammad Majeed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201095
2 201831
3 202127
4 201419
5 201817
6 200615
7 202214
8 201813
9 202113
10 201811
11 200711
12 200511
13 202110
14 201810
15 20098
16 20217
17 20237
18 20076
19 20215
20 20175

About Hammad Majeed

Hammad Majeed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 27 papers that have together received 347 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Sentiment Analysis and Opinion Mining (3 papers), AI in cancer detection (3 papers), Spam and Phishing Detection (2 papers), Caching and Content Delivery (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Artificial Intelligence (160 citations), Media Technology (30 citations), Information Systems (56 citations) and Signal Processing (25 citations). Hammad Majeed has collaborated with scholars based in Pakistan, Ireland and Saudi Arabia. Frequent co-authors include Humayun Irshad, Mirza Omer Beg, Conor Ryan, Hasan Mujtaba, Farrukh Aslam Khan, Muhammad Tariq, Abdelouahid Derhab, Irfan Mehmood, Naveed Ejaz and Qaisar Javaid. Their work appears in journals such as Sustainable Computing Informatics and Systems, Microscopy Research and Technique, Pattern Analysis and Applications, Cognitive Computation and Swarm and Evolutionary Computation.

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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