Bissan Ghaddar

2.1k total citations
39 papers, 1.4k citations indexed

About

Bissan Ghaddar is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Bissan Ghaddar has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 8 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Bissan Ghaddar's work include Transportation and Mobility Innovations (7 papers), Optimal Power Flow Distribution (5 papers) and Electric Vehicles and Infrastructure (4 papers). Bissan Ghaddar is often cited by papers focused on Transportation and Mobility Innovations (7 papers), Optimal Power Flow Distribution (5 papers) and Electric Vehicles and Infrastructure (4 papers). Bissan Ghaddar collaborates with scholars based in Canada, Ireland and United States. Bissan Ghaddar's co-authors include Joe Naoum‐Sawaya, Jatin Nathwani, Claudio Gambella, Bo Lin, Gopika Premsankar, Mario Di Francesco, Martin Mevissen, Bradley Eck, Jakub Mareček and Mariusz Słabicki and has published in prestigious journals such as Proceedings of the IEEE, Applied Energy and European Journal of Operational Research.

In The Last Decade

Bissan Ghaddar

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bissan Ghaddar Canada 19 484 237 227 197 192 39 1.4k
Joe Naoum‐Sawaya Canada 17 209 0.4× 266 1.1× 204 0.9× 236 1.2× 123 0.6× 45 1.3k
Mengqi Hu United States 27 744 1.5× 213 0.9× 343 1.5× 94 0.5× 117 0.6× 77 2.0k
Khaled Sedraoui Saudi Arabia 23 725 1.5× 234 1.0× 408 1.8× 276 1.4× 126 0.7× 43 1.9k
Lin Lin China 23 574 1.2× 80 0.3× 272 1.2× 425 2.2× 115 0.6× 131 2.2k
Berna Dengiz Türkiye 22 293 0.6× 136 0.6× 184 0.8× 658 3.3× 143 0.7× 74 1.5k
Ricardo Lima Brazil 18 446 0.9× 76 0.3× 171 0.8× 85 0.4× 110 0.6× 85 1.4k
Asier Perallos Spain 18 617 1.3× 93 0.4× 235 1.0× 144 0.7× 268 1.4× 91 1.4k
François Margot United States 19 371 0.8× 147 0.6× 123 0.5× 463 2.4× 202 1.1× 44 2.0k
Pierfrancesco Bellini Italy 21 244 0.5× 81 0.3× 307 1.4× 102 0.5× 538 2.8× 122 1.9k
Zeng Zeng China 24 336 0.7× 91 0.4× 507 2.2× 113 0.6× 485 2.5× 150 2.2k

Countries citing papers authored by Bissan Ghaddar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ghaddar, Bissan, et al.. (2025). Learning in Reformulation-Linearization Technique-Based Spatial Branching: Limitations of Strong Branching Imitation. INFORMS journal on computing. 1 indexed citations
2.
Ghaddar, Bissan, et al.. (2025). Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods. European Journal of Operational Research. 332(1). 1–30.
3.
4.
Ghaddar, Bissan, et al.. (2024). Three network design problems for community energy storage. Networks. 84(4). 420–445. 3 indexed citations
5.
Ghaddar, Bissan, et al.. (2024). Adaptive robust electric vehicle routing under energy consumption uncertainty. Transportation Research Part C Emerging Technologies. 160. 104529–104529. 15 indexed citations
6.
Premsankar, Gopika, et al.. (2024). A robust optimization approach for placement of applications in edge computing considering latency uncertainty. Omega. 126. 103064–103064. 2 indexed citations
7.
Ghaddar, Bissan, et al.. (2024). Polynomial Optimization: Tightening RLT-Based Branch-and-Bound Schemes with Conic Constraints. Journal of Optimization Theory and Applications. 204(1). 2 indexed citations
8.
Ghaddar, Bissan, et al.. (2023). Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow. SIAM Journal on Optimization. 33(4). 2830–2857.
9.
Ghaddar, Bissan, et al.. (2023). Learning for Spatial Branching: An Algorithm Selection Approach. INFORMS journal on computing. 35(5). 1024–1043. 7 indexed citations
10.
Ghaddar, Bissan, et al.. (2022). Shared community energy storage allocation and optimization. Applied Energy. 318. 119160–119160. 63 indexed citations
11.
Premsankar, Gopika & Bissan Ghaddar. (2022). Energy-Efficient Service Placement for Latency-Sensitive Applications in Edge Computing. IEEE Internet of Things Journal. 9(18). 17926–17937. 24 indexed citations
12.
Lin, Bo, Bissan Ghaddar, & Jatin Nathwani. (2021). Electric vehicle routing with charging/discharging under time-variant electricity prices. Transportation Research Part C Emerging Technologies. 130. 103285–103285. 77 indexed citations
13.
Lin, Bo, Bissan Ghaddar, & Jatin Nathwani. (2021). Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11528–11538. 106 indexed citations
14.
Premsankar, Gopika, Bissan Ghaddar, Mariusz Słabicki, & Mario Di Francesco. (2020). Optimal Configuration of LoRa Networks in Smart Cities. IEEE Transactions on Industrial Informatics. 16(12). 7243–7254. 75 indexed citations
15.
Gambella, Claudio, Bissan Ghaddar, & Joe Naoum‐Sawaya. (2020). Optimization problems for machine learning: A survey. European Journal of Operational Research. 290(3). 807–828. 223 indexed citations
16.
Gambella, Claudio, Joe Naoum‐Sawaya, & Bissan Ghaddar. (2018). The Vehicle Routing Problem with Floating Targets: Formulation and Solution Approaches. INFORMS journal on computing. 30(3). 554–569. 30 indexed citations
17.
Ghaddar, Bissan & Rabih A. Jabr. (2018). Power transmission network expansion planning: A semidefinite programming branch-and-bound approach. European Journal of Operational Research. 274(3). 837–844. 36 indexed citations
18.
Ghaddar, Bissan, et al.. (2017). Polynomial optimization for water networks: Global solutions for the valve setting problem. European Journal of Operational Research. 261(2). 450–459. 16 indexed citations
19.
Ghaddar, Bissan & Joe Naoum‐Sawaya. (2017). High dimensional data classification and feature selection using support vector machines. European Journal of Operational Research. 265(3). 993–1004. 220 indexed citations
20.
Ghaddar, Bissan, Juan C. Vera, & Miguel F. Anjos. (2010). An Iterative Scheme for Valid Polynomial Inequality Generation in Binary Polynomial Programming. Research portal (Tilburg University). 1–17. 1 indexed citations

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.

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