Mahmood Sharif
- Artificial Intelligence top 1%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Lujo BauerSruti BhagavatulaMichael K. ReiterNicolas ChristinAyumu KubotaWilliam MelicherAkira YamadaAnupam Das
- Topics
- Advanced Malware Detection Techniques (6 papers)Adversarial Robustness in Machine Learning (5 papers)Privacy, Security, and Data Protection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the ACM on Programming LanguagesACM Transactions on Privacy and Security
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Mahmood Sharif
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 834
- Signal Processing 372
- Computer Vision and Pattern Recognition 325
- Information Systems 200
- Computer Networks and Communications 97
Countries citing papers authored by Mahmood Sharif
This map shows the geographic impact of Mahmood Sharif'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 Mahmood Sharif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmood Sharif more than expected).
Fields of papers citing papers by Mahmood Sharif
This network shows the impact of papers produced by Mahmood Sharif. 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 Mahmood Sharif. The network helps show where Mahmood Sharif may publish in the future.
Co-authorship network of co-authors of Mahmood Sharif
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmood Sharif. A scholar is included among the top collaborators of Mahmood Sharif 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 Mahmood Sharif. Mahmood Sharif 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 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | How risky are real users' IFTTT applets? | 6 |
| 9 | 102 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 46 | |
| 13 | 32 | |
| 14 | 58 | |
| 15 | 9 | |
| 16 | Accessorize to a Crimebreakdown → | 788 |
| 17 | 43 | |
| 18 | Higher education challenges in developing the content of curriculum with learning society approach | 1 |
| 19 | 2 |
About Mahmood Sharif
Mahmood Sharif is a scholar working on Signal Processing, Artificial Intelligence and Communication, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Signal Processing (372 citations), Artificial Intelligence (834 citations) and Computer Vision and Pattern Recognition (325 citations). Mahmood Sharif has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Lujo Bauer, Sruti Bhagavatula, Michael K. Reiter, Nicolas Christin, Ayumu Kubota, William Melicher, Akira Yamada, Anupam Das, Limin Jia and Joshua Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the ACM on Programming Languages and ACM Transactions on Privacy and Security.
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.