Jwan Najeeb Saeed
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Adnan Mohsin AbdulazeezDiyar Qader ZeebareeRizgar R. ZebariSubhi R. M. ZeebareeDheyaa Ahmed IbrahimDilovan Asaad ZebariAdnan Mohsin Abdulazeez BrifcaniDathar Abas Hasan
- Topics
- Face recognition and analysis (6 papers)AI in cancer detection (5 papers)Evolutionary Psychology and Human Behavior (4 papers)
- Journals
- Applied SciencesThe International Arab Journal of Information TechnologyIndonesian Journal of Electrical Engineering and Computer Science
In The Last Decade
Jwan Najeeb Saeed
16 papers receiving 822 citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 331
- Computer Vision and Pattern Recognition 231
- Radiology, Nuclear Medicine and Imaging 81
- Computer Networks and Communications 78
- Signal Processing 70
Countries citing papers authored by Jwan Najeeb Saeed
This map shows the geographic impact of Jwan Najeeb Saeed'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 Jwan Najeeb Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jwan Najeeb Saeed more than expected).
Fields of papers citing papers by Jwan Najeeb Saeed
This network shows the impact of papers produced by Jwan Najeeb Saeed. 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 Jwan Najeeb Saeed. The network helps show where Jwan Najeeb Saeed may publish in the future.
Co-authorship network of co-authors of Jwan Najeeb Saeed
This figure shows the co-authorship network connecting the top 25 collaborators of Jwan Najeeb Saeed. A scholar is included among the top collaborators of Jwan Najeeb Saeed 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 Jwan Najeeb Saeed. Jwan Najeeb Saeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 35 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 49 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extractionbreakdown → | 575 |
| 15 | 16 | |
| 16 | 17 | |
| 17 | 34 |
About Jwan Najeeb Saeed
Jwan Najeeb Saeed is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 855 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), AI in cancer detection (5 papers) and Evolutionary Psychology and Human Behavior (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Artificial Intelligence (331 citations) and Developmental Biology (16 citations). Jwan Najeeb Saeed has collaborated with scholars based in Iraq, Malaysia and Ukraine. Frequent co-authors include Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Rizgar R. Zebari, Subhi R. M. Zeebaree, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Dathar Abas Hasan and Siddeeq Y. Ameen. Their work appears in journals such as Applied Sciences, The International Arab Journal of Information Technology and Indonesian Journal of Electrical Engineering and Computer Science.
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.