Firas Albalas
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Qussai YaseenMahmoud Al‐AyyoubAhmad Alzu’biAmmar AlmomaniTawfik Al-HadhramiYaser JararwehOmar AlmomaniOsama Dorgham
- Topics
- Energy Efficient Wireless Sensor Networks (6 papers)Mobile Ad Hoc Networks (4 papers)Face recognition and analysis (4 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeural Computing and Applications
- Partner nations
- JordanUnited KingdomUnited States
In The Last Decade
Firas Albalas
20 papers receiving 250 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 134
- Computer Vision and Pattern Recognition 93
- Signal Processing 61
- Artificial Intelligence 60
- Information Systems 53
Countries citing papers authored by Firas Albalas
This map shows the geographic impact of Firas Albalas'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 Firas Albalas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Firas Albalas more than expected).
Fields of papers citing papers by Firas Albalas
This network shows the impact of papers produced by Firas Albalas. 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 Firas Albalas. The network helps show where Firas Albalas may publish in the future.
Co-authorship network of co-authors of Firas Albalas
This figure shows the co-authorship network connecting the top 25 collaborators of Firas Albalas. A scholar is included among the top collaborators of Firas Albalas 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 Firas Albalas. Firas Albalas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 59 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | Security-aware CoAP application layer protocol for the internet of things using elliptic-curve cryptography. | 27 |
| 15 | 18 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 47 | |
| 19 | 7 | |
| 20 | Dynamic Path-Switching: A Multiple Constrained QoS Routing Algorithm for Manets | 2 |
About Firas Albalas
Firas Albalas is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 264 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Mobile Ad Hoc Networks (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Networks and Communications (134 citations), Signal Processing (61 citations) and Computer Vision and Pattern Recognition (93 citations). Firas Albalas has collaborated with scholars based in Jordan, United Kingdom and United States. Frequent co-authors include Qussai Yaseen, Mahmoud Al‐Ayyoub, Ahmad Alzu’bi, Ammar Almomani, Tawfik Al-Hadhrami, Yaser Jararweh, Omar Almomani, Osama Dorgham, Mohammad Alauthman and Wail Mardini. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.
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.