Salem Al-Yakoob

521 total citations
20 papers, 339 citations indexed

About

Salem Al-Yakoob is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Numerical Analysis. According to data from OpenAlex, Salem Al-Yakoob has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 9 papers in Management Science and Operations Research and 3 papers in Numerical Analysis. Recurrent topics in Salem Al-Yakoob's work include Vehicle Routing Optimization Methods (12 papers), Scheduling and Timetabling Solutions (9 papers) and Maritime Ports and Logistics (5 papers). Salem Al-Yakoob is often cited by papers focused on Vehicle Routing Optimization Methods (12 papers), Scheduling and Timetabling Solutions (9 papers) and Maritime Ports and Logistics (5 papers). Salem Al-Yakoob collaborates with scholars based in Kuwait, United States and Serbia. Salem Al-Yakoob's co-authors include Hanif D. Sherali, Dragan Stevanović, Nejib Smaoui, H.M. Soroush and Sanja Stevanović and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

Salem Al-Yakoob

20 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salem Al-Yakoob Kuwait 10 212 209 47 36 34 20 339
Christian Artigues France 8 236 1.1× 47 0.2× 36 0.8× 56 1.6× 64 1.9× 17 311
Yury Nikulin Finland 9 194 0.9× 91 0.4× 41 0.9× 18 0.5× 24 0.7× 26 348
Ross J.W. James New Zealand 8 226 1.1× 26 0.1× 29 0.6× 25 0.7× 39 1.1× 14 334
Igor Vasil’ev Russia 7 179 0.8× 78 0.4× 25 0.5× 32 0.9× 49 1.4× 9 265
Daniel T. Brunner United States 9 56 0.3× 133 0.6× 28 0.6× 20 0.6× 34 1.0× 38 257
Maciej Hapke Poland 7 223 1.1× 289 1.4× 68 1.4× 54 1.5× 30 0.9× 8 461
Eric Gelman United States 6 303 1.4× 173 0.8× 15 0.3× 22 0.6× 28 0.8× 7 363
Gang Yu United States 11 121 0.6× 58 0.3× 15 0.3× 19 0.5× 13 0.4× 22 425
Paolo Nobili Italy 8 132 0.6× 29 0.1× 16 0.3× 37 1.0× 59 1.7× 23 238
Olivier Spanjaard France 8 64 0.3× 74 0.4× 64 1.4× 36 1.0× 27 0.8× 17 189

Countries citing papers authored by Salem Al-Yakoob

Since Specialization
Citations

This map shows the geographic impact of Salem Al-Yakoob'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 Salem Al-Yakoob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salem Al-Yakoob more than expected).

Fields of papers citing papers by Salem Al-Yakoob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salem Al-Yakoob. 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 Salem Al-Yakoob. The network helps show where Salem Al-Yakoob may publish in the future.

Co-authorship network of co-authors of Salem Al-Yakoob

This figure shows the co-authorship network connecting the top 25 collaborators of Salem Al-Yakoob. A scholar is included among the top collaborators of Salem Al-Yakoob 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 Salem Al-Yakoob. Salem Al-Yakoob 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.
Stevanović, Dragan, et al.. (2024). On transmission-irregular graphs and long pendent paths. Applied Mathematics and Computation. 482. 128918–128918. 2 indexed citations
2.
Stevanović, Sanja, et al.. (2024). Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations. PLoS ONE. 19(10). e0312573–e0312573. 4 indexed citations
3.
Al-Yakoob, Salem, et al.. (2022). A mathematical programming approach for a vessel scheduling-transportation problem with multiple sources and destinations and normal daily demand distributions. Journal of Engineering Research. 10(2). 210–229. 1 indexed citations
4.
Al-Yakoob, Salem & Dragan Stevanović. (2021). On stepwise transmission irregular graphs. Applied Mathematics and Computation. 413. 126607–126607. 5 indexed citations
5.
Al-Yakoob, Salem & Dragan Stevanović. (2020). On transmission irregular starlike trees. Applied Mathematics and Computation. 380. 125257–125257. 9 indexed citations
6.
Al-Yakoob, Salem & Hanif D. Sherali. (2018). A Mathematical Modelling and Optimization Approach for a Maritime Facility Location Transshipment Problem. Informatica. 29(4). 609–632. 4 indexed citations
7.
Soroush, H.M. & Salem Al-Yakoob. (2017). A maritime scheduling transportation-inventory problem with normally distributed demands and fully loaded/unloaded vessels. Applied Mathematical Modelling. 53. 540–566. 6 indexed citations
8.
Al-Yakoob, Salem & Hanif D. Sherali. (2017). A Column Generation Mathematical Model for a Teaching Assistant Workload Assignment Problem. Informatica. 28(4). 583–608. 2 indexed citations
9.
Al-Yakoob, Salem & Hanif D. Sherali. (2015). Mathematical models and algorithms for a high school timetabling problem. Computers & Operations Research. 61. 56–68. 26 indexed citations
10.
Al-Yakoob, Salem & Hanif D. Sherali. (2013). A column generation mathematical programming approach for a class-faculty assignment problem with preferences. Computational Management Science. 12(2). 297–318. 4 indexed citations
11.
Al-Yakoob, Salem & Hanif D. Sherali. (2012). A column generation approach for determining optimal fleet mix, schedules, and transshipment facility locations for a vessel transportation problem. Applied Mathematical Modelling. 37(4). 2374–2387. 6 indexed citations
12.
Al-Yakoob, Salem, et al.. (2007). A mixed-integer mathematical modeling approach to exam timetabling. Computational Management Science. 7(1). 19–46. 27 indexed citations
13.
Al-Yakoob, Salem & Hanif D. Sherali. (2007). Multiple Shift Scheduling of Hierarchical Workforce with Multiple Work Centers. Informatica. 18(3). 325–342. 15 indexed citations
14.
Al-Yakoob, Salem & Hanif D. Sherali. (2007). Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations. Annals of Operations Research. 155(1). 119–142. 37 indexed citations
15.
Al-Yakoob, Salem & Hanif D. Sherali. (2006). A mixed-integer programming approach to a class timetabling problem: A case study with gender policies and traffic considerations. European Journal of Operational Research. 180(3). 1028–1044. 37 indexed citations
16.
Al-Yakoob, Salem & Hanif D. Sherali. (2006). A column generation approach for an employee scheduling problem with multiple shifts and work locations. Journal of the Operational Research Society. 59(1). 34–43. 30 indexed citations
17.
Al-Yakoob, Salem & Hanif D. Sherali. (2005). Mathematical programming models and algorithms for a class–faculty assignment problem. European Journal of Operational Research. 173(2). 488–507. 49 indexed citations
18.
Smaoui, Nejib & Salem Al-Yakoob. (2003). Analyzing the Dynamics of Cellular Flames Using Karhunen--Loève Decomposition and Autoassociative Neural Networks. SIAM Journal on Scientific Computing. 24(5). 1790–1808. 11 indexed citations
19.
Sherali, Hanif D., et al.. (1999). Fleet management models and algorithms for an oil-tanker routing and scheduling problem. IIE Transactions. 31(5). 395–406. 62 indexed citations
20.
Sherali, Hanif D., et al.. (1999). . IIE Transactions. 31(5). 395–406. 2 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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