Mutawarra Hussain

22 papers receiving 502 citations

Peers

Mutawarra Hussain
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 259
  • Artificial Intelligence 253
  • Radiology, Nuclear Medicine and Imaging 183
  • Oncology 76
  • Media Technology 62
Replace Chung‐Ming Wu with:
Chung‐Ming Wu Taiwan
I. El-Naqa United States
Saima Rathore Pakistan
Akif Burak Tosun United States
Joaquim Cezar Felipe Brazil
Yixin Li China
Matthias Elter Germany
Karamjeet Singh India
Enas M. F. El Houby Egypt
G. Valli Italy
Mutawarra Hussain relative to Chung‐Ming Wu Taiwan Chung‐Ming Wu's profile →
Citations per field
00.5×8.4×
Chung‐Ming Wu · 1×
Citations per year

Countries citing papers authored by Mutawarra Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Mutawarra Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutawarra Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Mutawarra Hussain. A scholar is included among the top collaborators of Mutawarra Hussain 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 Mutawarra Hussain. Mutawarra Hussain 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 71
2 33
3 11
4 66
5 23
6 30
7 15
8 6
9 87
10 17
11 9
12 3
13 11
14 4
15 5
16 31
17 58
18 18
19
Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features
5
20
Utilization of a Novel Ordered Context Free Grammar for Object Based Parsing and Unification Technique
1

About Mutawarra Hussain

Mutawarra Hussain is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry, having authored 22 papers that have together received 520 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Artificial Intelligence (253 citations) and Radiology, Nuclear Medicine and Imaging (183 citations). Mutawarra Hussain has collaborated with scholars based in Pakistan, South Korea and Japan. Frequent co-authors include Saima Rathore, Asifullah Khan, Muhammad Aksam Iftikhar, Abdul Jalil, Saima Rathore, Ahmad Ali, Fayyaz Minhas, Sana Malik, Javed Ahmed and Muhammad Tariq Mahmood. Their work appears in journals such as Information Sciences, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

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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