Mohamed Shehab
- Artificial Intelligence top 2%
- Sociology and Political Science top 2%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Anna SquicciariniElisa BertinoArif GhafoorFederica PaciGail‐Joon AhnSalmin SultanaGabriel GhinitaMichael K. Thomas
- Topics
- Privacy, Security, and Data Protection (26 papers)Advanced Malware Detection Techniques (20 papers)Access Control and Trust (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputer
- Partner nations
- United StatesEgyptPakistan
In The Last Decade
Mohamed Shehab
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 678
- Sociology and Political Science 581
- Information Systems 553
- Computer Networks and Communications 374
- Signal Processing 200
Countries citing papers authored by Mohamed Shehab
This map shows the geographic impact of Mohamed Shehab'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 Mohamed Shehab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Shehab more than expected).
Fields of papers citing papers by Mohamed Shehab
This network shows the impact of papers produced by Mohamed Shehab. 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 Mohamed Shehab. The network helps show where Mohamed Shehab may publish in the future.
Co-authorship network of co-authors of Mohamed Shehab
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Shehab. A scholar is included among the top collaborators of Mohamed Shehab 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 Mohamed Shehab. Mohamed Shehab 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 | 0 | |
| 4 | 9 | |
| 5 | The Effectiveness of Fear Appeals in Increasing Smartphone Locking Behavior among Saudi Arabians | 7 |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | Social networks profile mapping using games | 5 |
| 14 | 37 | |
| 15 | 33 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 42 |
About Mohamed Shehab
Mohamed Shehab is a scholar working on Information Systems, Signal Processing and Computer Science Applications, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (26 papers), Advanced Malware Detection Techniques (20 papers) and Access Control and Trust (19 papers). The work is most often cited by research in Information Systems (553 citations), Artificial Intelligence (678 citations) and Signal Processing (200 citations). Mohamed Shehab has collaborated with scholars based in United States, Egypt and Pakistan. Frequent co-authors include Anna Squicciarini, Elisa Bertino, Arif Ghafoor, Federica Paci, Gail‐Joon Ahn, Salmin Sultana, Gabriel Ghinita, Michael K. Thomas, Ravi Sandhu and Heather Richter Lipford. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.
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.