Sabry Shaaban

403 total citations
32 papers, 321 citations indexed

About

Sabry Shaaban is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Sabry Shaaban has authored 32 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Industrial and Manufacturing Engineering, 17 papers in Management Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Sabry Shaaban's work include Scheduling and Optimization Algorithms (22 papers), Assembly Line Balancing Optimization (17 papers) and Advanced Queuing Theory Analysis (13 papers). Sabry Shaaban is often cited by papers focused on Scheduling and Optimization Algorithms (22 papers), Assembly Line Balancing Optimization (17 papers) and Advanced Queuing Theory Analysis (13 papers). Sabry Shaaban collaborates with scholars based in France, Mexico and United States. Sabry Shaaban's co-authors include Thomas McNamara, Sarah Hudson, Erika Marsillac, Abdul Salam Darwish‎, Salomée Ruel, Amos H.C. Ng and Mohamed H. Mohamed and has published in prestigious journals such as International Journal of Production Economics, International Journal of Production Research and Computers & Industrial Engineering.

In The Last Decade

Sabry Shaaban

32 papers receiving 303 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sabry Shaaban 194 97 53 51 39 32 321
S. Noto La Diega 176 0.9× 96 1.0× 50 0.9× 43 0.8× 14 0.4× 28 307
P. Sivasankaran 343 1.8× 68 0.7× 41 0.8× 77 1.5× 17 0.4× 28 435
Chun-Min Yu 132 0.7× 43 0.4× 66 1.2× 63 1.2× 12 0.3× 42 323
Muhammad Akbar 102 0.5× 20 0.2× 48 0.9× 29 0.6× 33 0.8× 36 241
Gerhard Plenert 117 0.6× 109 1.1× 75 1.4× 173 3.4× 7 0.2× 40 347
Onur A. Kilic 133 0.7× 241 2.5× 127 2.4× 65 1.3× 7 0.2× 27 340
PM Braiden 204 1.1× 84 0.9× 46 0.9× 70 1.4× 3 0.1× 17 365
Kenichi Nakashima 105 0.5× 100 1.0× 153 2.9× 18 0.4× 12 0.3× 24 277
Pei-Yuan Hsu 79 0.4× 30 0.3× 67 1.3× 163 3.2× 8 0.2× 9 300
Benedikt Konrad 119 0.6× 169 1.7× 88 1.7× 35 0.7× 5 0.1× 5 313

Countries citing papers authored by Sabry Shaaban

Since Specialization
Citations

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

Fields of papers citing papers by Sabry Shaaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabry Shaaban. 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 Sabry Shaaban. The network helps show where Sabry Shaaban may publish in the future.

Co-authorship network of co-authors of Sabry Shaaban

This figure shows the co-authorship network connecting the top 25 collaborators of Sabry Shaaban. A scholar is included among the top collaborators of Sabry Shaaban 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 Sabry Shaaban. Sabry Shaaban 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.
Shaaban, Sabry, et al.. (2021). The impact of unequal processing time variability on reliable and unreliable merging line performance. International Journal of Production Economics. 235. 108108–108108. 4 indexed citations
2.
Shaaban, Sabry, et al.. (2020). STUDYING THE EFFECTS OF THE SKEWNESS OF INTER-ARRIVAL AND SERVICE TIMES ON THE PROBABILITY DISTRIBUTION OF WAITING TIMES. Pesquisa Operacional. 40. 4 indexed citations
3.
Shaaban, Sabry, et al.. (2020). Performance of merging lines with uneven buffer capacity allocation: the effects of unreliability under different inventory-related costs. Central European Journal of Operations Research. 29(4). 1253–1288. 8 indexed citations
4.
Marsillac, Erika, et al.. (2019). Reducing the variability of inter-departure times of a single-server queueing system – The effects of skewness. Computers & Industrial Engineering. 135. 500–517. 3 indexed citations
5.
Ruel, Salomée, et al.. (2019). Supply chain vulnerability: contributions from an edifying case study. Journal of Enterprise Information Management. 32(2). 214–232. 24 indexed citations
6.
Marsillac, Erika, et al.. (2019). Serial production line performance under random variation: Dealing with the ‘Law of Variability’. Journal of Manufacturing Systems. 50. 278–289. 25 indexed citations
7.
Darwish‎, Abdul Salam, et al.. (2018). A methodology for improving wind energy production in low wind speed regions, with a case study application in Iraq. Computers & Industrial Engineering. 127. 89–102. 29 indexed citations
8.
Shaaban, Sabry, et al.. (2018). Influence of unbalanced operation time means and uneven buffer allocation on unreliable merging assembly line efficiency. International Journal of Production Research. 57(6). 1645–1666. 14 indexed citations
9.
Ruel, Salomée, et al.. (2017). Factors which influence trust in supply chains. Logistique & Management. 26(1). 58–69. 6 indexed citations
10.
Ng, Amos H.C., et al.. (2017). Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation. International Journal of Production Research. 55(24). 7435–7451. 11 indexed citations
11.
Ruel, Salomée, et al.. (2017). Supply chain uncertainties linked to information systems: a case study approach. Industrial Management & Data Systems. 117(6). 1093–1108. 8 indexed citations
12.
Shaaban, Sabry & Abdul Salam Darwish‎. (2016). Production Systems: Successful Applications and New Challenges Part 2 – SCM, logistics, planning & strategy, scheduling and location. Production Planning & Control. 27(9). 675–676. 3 indexed citations
13.
Shaaban, Sabry, Thomas McNamara, & Sarah Hudson. (2015). The impact of failure, repair and joint imbalance of processing time means and buffer sizes on the performance of unpaced production lines. International Journal of Manufacturing Technology and Management. 29(5/6). 347–347. 2 indexed citations
14.
Hudson, Sarah, Sabry Shaaban, & Thomas McNamara. (2015). The performance of unpaced production lines with unbalanced mean operation times and unreliability patterns. Journal of Manufacturing Systems. 37. 164–172. 4 indexed citations
15.
Hudson, Sarah, Thomas McNamara, & Sabry Shaaban. (2014). Unbalanced lines: where are we now?. International Journal of Production Research. 53(6). 1895–1911. 28 indexed citations
16.
McNamara, Thomas, Sarah Hudson, & Sabry Shaaban. (2014). The effect of mean-time and variability imbalance in unreliable lines. Journal Européen des Systèmes Automatisés. 48(1-3). 211–237. 1 indexed citations
17.
Shaaban, Sabry, Thomas McNamara, & Sarah Hudson. (2014). Mean time imbalance effects on unreliable unpaced serial flow lines. Journal of Manufacturing Systems. 33(3). 357–365. 5 indexed citations
18.
Shaaban, Sabry, Thomas McNamara, & Sarah Hudson. (2013). The effects of unbalancing operation time variability on the performance of unreliable lines. Journal of Manufacturing Technology Management. 24(3). 428–447. 6 indexed citations
19.
McNamara, Thomas, Sabry Shaaban, & Sarah Hudson. (2012). Simulation of unbalanced buffer allocation in unreliable unpaced production lines. International Journal of Production Research. 51(6). 1922–1936. 17 indexed citations
20.
McNamara, Thomas, Sabry Shaaban, & Sarah Hudson. (2011). Unpaced production lines with three simultaneous imbalance sources. Industrial Management & Data Systems. 111(9). 1356–1380. 10 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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