Mohammed Zakariah
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Neurology top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Yousef Ajami AlotaibiWesam Atef HatamlehHussam TaraziKamran ShaukatAbeer Ali AlnuaimMuhammad Khurram KhanEman Abdullah AldakheelAwal Halifa
- Topics
- Network Security and Intrusion Detection (15 papers)Emotion and Mood Recognition (14 papers)Speech Recognition and Synthesis (10 papers)
- Partner nations
- Saudi ArabiaIndiaUnited States
In The Last Decade
Mohammed Zakariah
79 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 546
- Computer Vision and Pattern Recognition 406
- Signal Processing 286
- Neurology 221
- Computer Networks and Communications 188
Countries citing papers authored by Mohammed Zakariah
This map shows the geographic impact of Mohammed Zakariah'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 Mohammed Zakariah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Zakariah more than expected).
Fields of papers citing papers by Mohammed Zakariah
This network shows the impact of papers produced by Mohammed Zakariah. 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 Mohammed Zakariah. The network helps show where Mohammed Zakariah may publish in the future.
Co-authorship network of co-authors of Mohammed Zakariah
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Zakariah. A scholar is included among the top collaborators of Mohammed Zakariah 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 Mohammed Zakariah. Mohammed Zakariah 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 34 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 26 | |
| 17 | 7 | |
| 18 | Digital Transformation Challenges in Healthcare and its Effect on the Patient-Physician Relationship | 0 |
| 19 | 18 | |
| 20 | 12 |
About Mohammed Zakariah
Mohammed Zakariah is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Health Information Management, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Emotion and Mood Recognition (14 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Signal Processing (286 citations), Neurology (221 citations) and Computer Vision and Pattern Recognition (406 citations). Mohammed Zakariah has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Yousef Ajami Alotaibi, Wesam Atef Hatamleh, Hussam Tarazi, Kamran Shaukat, Abeer Ali Alnuaim, Muhammad Khurram Khan, Eman Abdullah Aldakheel, Awal Halifa, B. Partibane and Prashant Kumar Shukla. Their work appears in journals such as Scientific Reports, IEEE Access and Molecules.
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.