Majdi Rawashdeh
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Co-authors
- Abdulmotaleb El SaddikMohammed F. AlhamidMohammed G.H. Al ZamilSamer SamarahM. Shamim HossainGhulam MuhammadM. Anwar HossainMohammad Shorfuzzaman
- Topics
- IoT and Edge/Fog Computing (12 papers)Recommender Systems and Techniques (12 papers)Context-Aware Activity Recognition Systems (9 papers)
- Cited by
- Information SystemsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- Saudi ArabiaJordanCanada
In The Last Decade
Majdi Rawashdeh
44 papers receiving 609 citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 242
- Information Systems 241
- Artificial Intelligence 194
- Computer Vision and Pattern Recognition 194
- Signal Processing 79
Countries citing papers authored by Majdi Rawashdeh
This map shows the geographic impact of Majdi Rawashdeh'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 Majdi Rawashdeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majdi Rawashdeh more than expected).
Fields of papers citing papers by Majdi Rawashdeh
This network shows the impact of papers produced by Majdi Rawashdeh. 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 Majdi Rawashdeh. The network helps show where Majdi Rawashdeh may publish in the future.
Co-authorship network of co-authors of Majdi Rawashdeh
This figure shows the co-authorship network connecting the top 25 collaborators of Majdi Rawashdeh. A scholar is included among the top collaborators of Majdi Rawashdeh 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 Majdi Rawashdeh. Majdi Rawashdeh 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 67 | |
| 8 | 60 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 31 | |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 10 | |
| 16 | 35 | |
| 17 | 2 | |
| 18 | 55 | |
| 19 | 3 | |
| 20 | 1 |
About Majdi Rawashdeh
Majdi Rawashdeh is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 48 papers that have together received 636 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Recommender Systems and Techniques (12 papers) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Information Systems (241 citations), Computer Networks and Communications (242 citations) and Computer Vision and Pattern Recognition (194 citations). Majdi Rawashdeh has collaborated with scholars based in Saudi Arabia, Jordan and Canada. Frequent co-authors include Abdulmotaleb El Saddik, Mohammed F. Alhamid, Mohammed G.H. Al Zamil, Samer Samarah, M. Shamim Hossain, M. Shamim Hossain, Ghulam Muhammad, M. Anwar Hossain, Mohammad Shorfuzzaman and Nedal Ababneh. Their work appears in journals such as Computers in Human Behavior, IEEE Access and Sensors.
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.