Naveed Abbas
Impact in
-
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Health Informatics top 5%
Papers in
-
- Digital Imaging for Blood Diseases 18
-
- AI in cancer detection 10
- Co-authors
- Tanzila Saba (14 shared papers)Amjad Rehman (15 shared papers)Zahid Mehmood (8 shared papers)Hoshang Kolivand (3 shared papers)Dzulkifli Mohamad (6 shared papers)Naveed Islam (4 shared papers)Adeel Anjum (3 shared papers)Toqeer Mahmood (2 shared papers)
- Journals
- Microscopy Research and Technique (7 papers)IEEE Access (4 papers)Multimedia Tools and Applications (2 papers)Scientific Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Naveed Abbas
39 papers receiving 788 citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 467
- Health Informatics 29
- Biophysics 75
- Artificial Intelligence 339
- Radiology, Nuclear Medicine and Imaging 213
Countries citing papers authored by Naveed Abbas
This map shows the geographic impact of Naveed Abbas'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 Naveed Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveed Abbas more than expected).
Fields of papers citing papers by Naveed Abbas
This network shows the impact of papers produced by Naveed Abbas. 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 Naveed Abbas. The network helps show where Naveed Abbas may publish in the future.
Co-authors
The 25 scholars most cited alongside Naveed Abbas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2016 | 69 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 44 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 42 | |
| 7 | 2019 | 37 | |
| 8 | 2023 | 37 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 30 | |
| 11 | 2019 | 28 | |
| 12 | 2024 | 23 | |
| 13 | 2019 | 17 | |
| 14 | Report: Nuclei segmentation of leukocytes in blood smear digital images. | 2015 | 17 |
| 15 | 2018 | 16 | |
| 16 | Microscopic rgb color images enhancement for blood cells segmentation in ycbcr color space for k-means clustering | 2013 | 14 |
| 17 | 2022 | 14 | |
| 18 | An automated nuclei segmentation of leukocytes from microscopic digital images. | 2019 | 13 |
| 19 | 2020 | 12 | |
| 20 | 2014 | 10 |
About Naveed Abbas
Naveed Abbas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biophysics and Plant Science, having authored 42 papers that have together received 831 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (18 papers), AI in cancer detection (10 papers), Cell Image Analysis Techniques (7 papers), Smart Agriculture and AI (7 papers), Image Processing Techniques and Applications (6 papers), COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (467 citations), Health Informatics (29 citations), Biophysics (75 citations), Artificial Intelligence (339 citations) and Radiology, Nuclear Medicine and Imaging (213 citations). Naveed Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Tanzila Saba, Amjad Rehman, Zahid Mehmood, Hoshang Kolivand, Dzulkifli Mohamad, Naveed Islam, Adeel Anjum, Toqeer Mahmood, Abdulaziz S. Almazyad and Jarallah S. AlGhamdi. Their work appears in journals such as Microscopy Research and Technique, IEEE Access, Multimedia Tools and Applications, Scientific Reports and PLoS ONE.
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.