Bissan Ghaddar
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Artificial Intelligence top 5%
- Industrial and Manufacturing Engineering top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Joe Naoum‐SawayaJatin NathwaniClaudio GambellaBo LinGopika PremsankarMario Di FrancescoBradley EckMartin Mevissen
- Topics
- Transportation and Mobility Innovations (7 papers)Optimal Power Flow Distribution (5 papers)Electric Vehicles and Infrastructure (4 papers)
- Partner nations
- CanadaIrelandUnited States
In The Last Decade
Bissan Ghaddar
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Electrical and Electronic Engineering 484
- Automotive Engineering 237
- Artificial Intelligence 227
- Industrial and Manufacturing Engineering 197
- Computer Networks and Communications 192
Countries citing papers authored by Bissan Ghaddar
This map shows the geographic impact of Bissan Ghaddar'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 Bissan Ghaddar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bissan Ghaddar more than expected).
Fields of papers citing papers by Bissan Ghaddar
This network shows the impact of papers produced by Bissan Ghaddar. 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 Bissan Ghaddar. The network helps show where Bissan Ghaddar may publish in the future.
Co-authorship network of co-authors of Bissan Ghaddar
This figure shows the co-authorship network connecting the top 25 collaborators of Bissan Ghaddar. A scholar is included among the top collaborators of Bissan Ghaddar 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 Bissan Ghaddar. Bissan Ghaddar 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 63 | |
| 11 | 24 | |
| 12 | 106 | |
| 13 | 77 | |
| 14 | 75 | |
| 15 | 36 | |
| 16 | 30 | |
| 17 | 220 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | An Iterative Scheme for Valid Polynomial Inequality Generation in Binary Polynomial Programming | 1 |
About Bissan Ghaddar
Bissan Ghaddar is a scholar working on Numerical Analysis, Automotive Engineering and Computational Theory and Mathematics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (7 papers), Optimal Power Flow Distribution (5 papers) and Electric Vehicles and Infrastructure (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (197 citations), Automotive Engineering (237 citations) and Transportation (85 citations). Bissan Ghaddar has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Joe Naoum‐Sawaya, Jatin Nathwani, Claudio Gambella, Bo Lin, Gopika Premsankar, Mario Di Francesco, Bradley Eck, Martin Mevissen, Jakub Mareček and Mariusz Słabicki. Their work appears in journals such as Proceedings of the IEEE, Applied Energy and European Journal of Operational Research.
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.