Nabeela Kausar

448 total citations
19 papers, 318 citations indexed

About

Nabeela Kausar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Nabeela Kausar has authored 19 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Nabeela Kausar's work include Advanced Image Fusion Techniques (6 papers), Image Processing Techniques and Applications (5 papers) and Machine Learning in Bioinformatics (4 papers). Nabeela Kausar is often cited by papers focused on Advanced Image Fusion Techniques (6 papers), Image Processing Techniques and Applications (5 papers) and Machine Learning in Bioinformatics (4 papers). Nabeela Kausar collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Nabeela Kausar's co-authors include Abdul Majid, Abdul Majid, Safdar Ali, Mubashar Iqbal, Riaz Ahmad, Muhammad Awais, Tallha Akram, Abdul Hameed, Ali Shariq Imran and Maria Aqeel Khan and has published in prestigious journals such as Cancers, Applied Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

Nabeela Kausar

18 papers receiving 303 citations

Peers

Nabeela Kausar
Comparison fields: 5 of 76
  • Artificial Intelligence 144
  • Computer Vision and Pattern Recognition 82
  • Oncology 44
  • Molecular Biology 43
  • Media Technology 37
Replace Giovanna Maria Dimitri with:
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Parita Oza India
Karim Abbasi Iran
Jurica Levatić Slovenia
Parvin Razzaghi Iran
Shrooq Alsenan Saudi Arabia
Pedro H. Bugatti Brazil
Tian Bai China
Wei Dai China
Giovanna Maria Dimitri Italy View profile →
Citations per field, relative to Nabeela Kausar
Nabeela Kausar · 1×
Citations per year, relative to Nabeela Kausar
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Countries citing papers authored by Nabeela Kausar

Since Specialization
Citations

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

Fields of papers citing papers by Nabeela Kausar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabeela Kausar

This figure shows the co-authorship network connecting the top 25 collaborators of Nabeela Kausar. A scholar is included among the top collaborators of Nabeela Kausar 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 Nabeela Kausar. Nabeela Kausar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 4
3 32
4 11
5 10
6 16
7 1
8 47
9 41
10 7
11 2
12 14
13 6
14 1
15 28
16 84
17 2
18 8
19 4

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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