Hammad Majeed

652 citations
28 papers · 353 · h-index 12

Impact in

Papers in

Hammad Majeed

26 papers receiving 333 citations

Peers

Hammad Majeed
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 117
  • Artificial Intelligence 157
  • Media Technology 30
  • Information Systems 58
  • Signal Processing 26
Replace Sushma Jaiswal with:
Sushma Jaiswal India
Ahmed Omar Egypt
Swati Ahirrao India
Ahmed Mueen Saudi Arabia
Chenglang Lu China
Wahiba Ben Abdessalem Karâa Tunisia
Parminder Kaur India
Swati Mishra India
Mickaël Coustaty France
R. Raja Subramanian India
Hammad Majeed relative to Sushma Jaiswal India Sushma Jaiswal's profile →
Citations per field
00.5×3.8×
Sushma Jaiswal · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201094
2 201831
3 202130
4 201419
5 201817
6 200615
7 202214
8 201813
9 202113
10 200711
11 200511
12 201811
13 202110
14 201810
15 20098
16 20218
17 20237
18 20077
19 20176
20 20216

About Hammad Majeed

Hammad Majeed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 28 papers that have together received 353 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), Image and Video Quality Assessment (2 papers), Green IT and Sustainability (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (117 citations), Artificial Intelligence (157 citations), Media Technology (30 citations), Information Systems (58 citations) and Signal Processing (26 citations). Hammad Majeed has collaborated with scholars based in Pakistan, Saudi Arabia and Ireland. Frequent co-authors include Humayun Irshad, Mirza Omer Beg, Conor Ryan, Hasan Mujtaba, Farrukh Aslam Khan, Abdelouahid Derhab, Muhammad Tariq, Naveed Ejaz, Irfan Mehmood and Hafiz Farooq Ahmad. Their work appears in journals such as Microscopy Research and Technique, Sustainable Computing Informatics and Systems, Pattern Analysis and Applications, Wireless Communications and Mobile Computing and Applied 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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