Majd Sakr
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Hardware and Architecture top 10%
- Co-authors
- Mohammad HammoudMaha SalemSean AndristBilge MutluJaromír ŠavelkaChristopher BogartArav AgarwalDonald M. Chiarulli
- Topics
- Cloud Computing and Resource Management (6 papers)IoT and Edge/Fog Computing (4 papers)Advanced Memory and Neural Computing (3 papers)
- Journals
- British Journal of Educational TechnologyJournal of Computer Assisted LearningUse Siena air (University of Siena)
- Partner nations
- United StatesQatarLebanon
In The Last Decade
Majd Sakr
16 papers receiving 399 citations
Peers
Comparison fields: 5 of 50
- Information Systems 237
- Computer Networks and Communications 215
- Artificial Intelligence 123
- Social Psychology 98
- Hardware and Architecture 36
Countries citing papers authored by Majd Sakr
This map shows the geographic impact of Majd Sakr'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 Majd Sakr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majd Sakr more than expected).
Fields of papers citing papers by Majd Sakr
This network shows the impact of papers produced by Majd Sakr. 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 Majd Sakr. The network helps show where Majd Sakr may publish in the future.
Co-authorship network of co-authors of Majd Sakr
This figure shows the co-authorship network connecting the top 25 collaborators of Majd Sakr. A scholar is included among the top collaborators of Majd Sakr 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 Majd Sakr. Majd Sakr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 36 | |
| 6 | Online Mob Programming: Bridging the 21st Century Workplace and the Classroom. | 1 |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 61 | |
| 10 | 54 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 60 | |
| 14 | 109 | |
| 15 | 46 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | Performance of On-Line Learning Methods in Predicting MultiprocessorMemory Access Patterns | 0 |
About Majd Sakr
Majd Sakr is a scholar working on Information Systems, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 18 papers that have together received 421 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Health Informatics (15 citations), Information Systems (237 citations) and Computer Networks and Communications (215 citations). Majd Sakr has collaborated with scholars based in United States, Qatar and Lebanon. Frequent co-authors include Mohammad Hammoud, Maha Salem, Sean Andrist, Bilge Mutlu, Jaromír Šavelka, Christopher Bogart, Arav Agarwal, Donald M. Chiarulli, Steven P. Levitan and C. Lee Giles. Their work appears in journals such as British Journal of Educational Technology, Journal of Computer Assisted Learning and Use Siena air (University of Siena).
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.