Saeed Salem
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Bioinformatics and Genomic Networks 13
- Gene expression and cancer classification 11
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- Software Engineering Research 7
- Data Mining Algorithms and Applications 7
- Co-authors
- Mohammed J. Zaki (10 shared papers)Mohammad Al Hasan (8 shared papers)Vineet Chaoji (6 shared papers)Hyunsook Do (5 shared papers)Minfei Su (1 shared paper)Sangita C. Sinha (1 shared paper)Christopher L. Colbert (1 shared paper)Gaurav Soni (1 shared paper)
- Journals
- BioData Mining (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Knowledge and Information Systems (2 papers)Data Mining and Knowledge Discovery (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesQatarSaudi Arabia
In The Last Decade
Saeed Salem
46 papers receiving 1.0k citations
Saeed Salem's Hit Papers
Peers
Comparison fields: 5 of 110
- Statistical and Nonlinear Physics 463
- Software 76
- Artificial Intelligence 534
- Information Systems 290
- Computational Mathematics 7
Countries citing papers authored by Saeed Salem
This map shows the geographic impact of Saeed Salem'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 Saeed Salem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Salem more than expected).
Fields of papers citing papers by Saeed Salem
This network shows the impact of papers produced by Saeed Salem. 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 Saeed Salem. The network helps show where Saeed Salem may publish in the future.
Co-authors
The 25 scholars most cited alongside Saeed Salem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Link prediction using supervised learning Hit paper breakdown → | 2006 | 539 |
| 2 | 2013 | 58 | |
| 3 | 2010 | 51 | |
| 4 | 2009 | 43 | |
| 5 | 2021 | 42 | |
| 6 | 2014 | 41 | |
| 7 | 2015 | 35 | |
| 8 | 2010 | 28 | |
| 9 | 2014 | 22 | |
| 10 | 2008 | 21 | |
| 11 | 2008 | 20 | |
| 12 | 2009 | 20 | |
| 13 | 2008 | 20 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 16 | |
| 16 | 2015 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 2004 | 7 |
About Saeed Salem
Saeed Salem is a scholar working on Molecular Biology, Information Systems, Artificial Intelligence, Signal Processing and Software, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (11 papers), Software Testing and Debugging Techniques (8 papers), Software Engineering Research (7 papers), Software Reliability and Analysis Research (7 papers), Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (463 citations), Software (76 citations), Artificial Intelligence (534 citations), Information Systems (290 citations) and Computational Mathematics (7 citations). Saeed Salem has collaborated with scholars based in United States, Qatar and Saudi Arabia. Frequent co-authors include Mohammed J. Zaki, Mohammad Al Hasan, Vineet Chaoji, Hyunsook Do, Minfei Su, Sangita C. Sinha, Christopher L. Colbert, Gaurav Soni, Mei Yang and Kendall E. Nygard. Their work appears in journals such as BioData Mining, IEEE Transactions on Dependable and Secure Computing, Knowledge and Information Systems, Data Mining and Knowledge Discovery and BMC Bioinformatics.
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.