Najm Us Sama
- Oncology
- Artificial Intelligence top 10%
- Epidemiology
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Mamoona HumayunWalaa GoudaN. Z. JhanjhiGhadah Naif AlwakidAtiq Ur RahmanSaad AlanaziMahmoud El‐HajTaha Osman
- Topics
- Energy Efficient Wireless Sensor Networks (5 papers)Energy Harvesting in Wireless Networks (4 papers)Advanced Malware Detection Techniques (3 papers)
- Partner nations
- MalaysiaSaudi ArabiaPakistan
In The Last Decade
Najm Us Sama
17 papers receiving 326 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Oncology 192
- Artificial Intelligence 179
- Epidemiology 83
- Computer Networks and Communications 54
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Najm Us Sama
This map shows the geographic impact of Najm Us Sama'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 Najm Us Sama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najm Us Sama more than expected).
Fields of papers citing papers by Najm Us Sama
This network shows the impact of papers produced by Najm Us Sama. 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 Najm Us Sama. The network helps show where Najm Us Sama may publish in the future.
Co-authorship network of co-authors of Najm Us Sama
This figure shows the co-authorship network connecting the top 25 collaborators of Najm Us Sama. A scholar is included among the top collaborators of Najm Us Sama 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 Najm Us Sama. Najm Us Sama 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learningbreakdown → | 172 |
| 7 | 20 | |
| 8 | 71 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | Routing Hole Mitigation by Edge based Multi-Hop Cluster-based Routing Protocol in Wireless Sensor Network | 3 |
| 18 | 4 | |
| 19 | 6 |
About Najm Us Sama
Najm Us Sama is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 19 papers that have together received 349 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Oncology (192 citations), Artificial Intelligence (179 citations) and Health Informatics (6 citations). Najm Us Sama has collaborated with scholars based in Malaysia, Saudi Arabia and Pakistan. Frequent co-authors include Mamoona Humayun, Walaa Gouda, N. Z. Jhanjhi, Ghadah Naif Alwakid, Atiq Ur Rahman, Saad Alanazi, Mahmoud El‐Haj, Taha Osman, Saleh M. Altowaijri and Halabi Hasbullah. Their work appears in journals such as IEEE Access, Applied Sciences and Computer Communications.
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.