Elias B. Khalil
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Computer Networks and Communications top 10%
- Transportation top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Bistra DilkinaLe SongSubhrajit GuhathakurtaGeorge L. NemhauserHorst SamulowitzFatemeh NargesianDeepak S. TuragaUdayan Khurana
- Topics
- Constraint Satisfaction and Optimization (5 papers)Machine Learning and Algorithms (4 papers)Vehicle Routing Optimization Methods (3 papers)
- Journals
- Transportation Research Part C Emerging TechnologiesJournal of Industrial EcologyInternational Journal of Medical Informatics
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Elias B. Khalil
23 papers receiving 847 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 294
- Automotive Engineering 158
- Computer Networks and Communications 127
- Transportation 123
- Industrial and Manufacturing Engineering 119
Countries citing papers authored by Elias B. Khalil
This map shows the geographic impact of Elias B. Khalil'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 Elias B. Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elias B. Khalil more than expected).
Fields of papers citing papers by Elias B. Khalil
This network shows the impact of papers produced by Elias B. Khalil. 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 Elias B. Khalil. The network helps show where Elias B. Khalil may publish in the future.
Co-authorship network of co-authors of Elias B. Khalil
This figure shows the co-authorship network connecting the top 25 collaborators of Elias B. Khalil. A scholar is included among the top collaborators of Elias B. Khalil 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 Elias B. Khalil. Elias B. Khalil 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 | 4 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 105 | |
| 11 | 37 | |
| 12 | Hybrid Models for Learning to Branch | 2 |
| 13 | 135 | |
| 14 | Fake News Mitigation via Point Process Based Intervention | 15 |
| 15 | 172 | |
| 16 | 27 | |
| 17 | Machine learning for integer programming | 3 |
| 18 | 141 | |
| 19 | 77 | |
| 20 | 17 |
About Elias B. Khalil
Elias B. Khalil is a scholar working on Computational Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 27 papers that have together received 892 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (5 papers), Machine Learning and Algorithms (4 papers) and Vehicle Routing Optimization Methods (3 papers). The work is most often cited by research in Computational Mathematics (16 citations), Transportation (123 citations) and Automotive Engineering (158 citations). Elias B. Khalil has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Bistra Dilkina, Le Song, Subhrajit Guhathakurta, George L. Nemhauser, Horst Samulowitz, Fatemeh Nargesian, Deepak S. Turaga, Udayan Khurana, Pierre Le Bodic and Andrea Lodi. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Journal of Industrial Ecology and International Journal of Medical Informatics.
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.