Kareem S. Aggour
- Artificial Intelligence
- Information Systems
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
- Co-authors
- Virendra KumarPaul CuddihyPiero P. BonissoneVarish MulwadRaj SubbuWilliam CheethamXue FengBülent Yener
- Topics
- Semantic Web and Ontologies (6 papers)Scientific Computing and Data Management (5 papers)Fuzzy Logic and Control Systems (4 papers)
- Journals
- Proceedings of the VLDB EndowmentComputational Statistics & Data AnalysisIntegrating materials and manufacturing innovation
- Partner nations
- United States
In The Last Decade
Kareem S. Aggour
28 papers receiving 180 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 84
- Information Systems 36
- Management Science and Operations Research 29
- Industrial and Manufacturing Engineering 26
- Control and Systems Engineering 26
Countries citing papers authored by Kareem S. Aggour
This map shows the geographic impact of Kareem S. Aggour'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 Kareem S. Aggour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kareem S. Aggour more than expected).
Fields of papers citing papers by Kareem S. Aggour
This network shows the impact of papers produced by Kareem S. Aggour. 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 Kareem S. Aggour. The network helps show where Kareem S. Aggour may publish in the future.
Co-authorship network of co-authors of Kareem S. Aggour
This figure shows the co-authorship network connecting the top 25 collaborators of Kareem S. Aggour. A scholar is included among the top collaborators of Kareem S. Aggour 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 Kareem S. Aggour. Kareem S. Aggour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition | 4 |
| 7 | 3 | |
| 8 | 5 | |
| 9 | SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management. | 3 |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | ROADS: A Reusable, Optimizable Architecture for Decision Systems. | 5 |
| 20 | 19 |
About Kareem S. Aggour
Kareem S. Aggour is a scholar working on Computational Mathematics, Information Systems and Management and Artificial Intelligence, having authored 30 papers that have together received 195 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Scientific Computing and Data Management (5 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Computational Mathematics (4 citations), Artificial Intelligence (84 citations) and Industrial and Manufacturing Engineering (26 citations). Kareem S. Aggour has collaborated with scholars based in United States. Frequent co-authors include Virendra Kumar, Paul Cuddihy, Piero P. Bonissone, Varish Mulwad, Raj Subbu, William Cheetham, Xue Feng, Bülent Yener, Philip J. Hart and Weizhong Yan. Their work appears in journals such as Proceedings of the VLDB Endowment, Computational Statistics & Data Analysis and Integrating materials and manufacturing innovation.
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.