James R. Morrison

1.6k total citations
110 papers, 1.2k citations indexed

About

James R. Morrison is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, James R. Morrison has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Industrial and Manufacturing Engineering, 41 papers in Management Information Systems and 15 papers in Computational Theory and Mathematics. Recurrent topics in James R. Morrison's work include Scheduling and Optimization Algorithms (41 papers), Advanced Queuing Theory Analysis (36 papers) and Manufacturing Process and Optimization (16 papers). James R. Morrison is often cited by papers focused on Scheduling and Optimization Algorithms (41 papers), Advanced Queuing Theory Analysis (36 papers) and Manufacturing Process and Optimization (16 papers). James R. Morrison collaborates with scholars based in South Korea, United States and Israel. James R. Morrison's co-authors include Koji Suzuki, Byung Duk Song, P. R. Kumar, Kyungsu Park, Chen–Fu Chien, Woonghee Tim Huh, Stéphane Dauzère‐Pérès, Young Jae Jang, Adar Kalir and Woosung Kim and has published in prestigious journals such as IEEE Transactions on Automatic Control, International Journal of Production Research and Review of Scientific Instruments.

In The Last Decade

James R. Morrison

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James R. Morrison South Korea 18 542 314 260 251 213 110 1.2k
Grzegorz Bocewicz Poland 17 578 1.1× 272 0.9× 175 0.7× 85 0.3× 99 0.5× 112 1.1k
Lifeng Zhou United States 13 531 1.0× 64 0.2× 127 0.5× 158 0.6× 317 1.5× 34 1.2k
Brian Rodrigues Singapore 23 1.1k 2.0× 139 0.4× 44 0.2× 245 1.0× 222 1.0× 79 1.7k
Miquel Àngel Piera Spain 21 406 0.7× 469 1.5× 91 0.3× 142 0.6× 70 0.3× 116 1.3k
Tatsushi Nishi Japan 25 1.2k 2.3× 52 0.2× 239 0.9× 318 1.3× 148 0.7× 192 1.9k
Nicolas Zufferey Switzerland 19 844 1.6× 160 0.5× 40 0.2× 92 0.4× 242 1.1× 75 1.3k
Burak Ekşioğlu United States 17 757 1.4× 55 0.2× 79 0.3× 241 1.0× 135 0.6× 49 1.4k
Aldy Gunawan Singapore 19 753 1.4× 178 0.6× 137 0.5× 27 0.1× 178 0.8× 65 1.2k
Yossiri Adulyasak Canada 17 1.0k 1.9× 149 0.5× 73 0.3× 304 1.2× 47 0.2× 51 1.6k
Radu F. Babiceanu United States 15 660 1.2× 57 0.2× 55 0.2× 237 0.9× 164 0.8× 52 1.2k

Countries citing papers authored by James R. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by James R. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Morrison. 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 James R. Morrison. The network helps show where James R. Morrison may publish in the future.

Co-authorship network of co-authors of James R. Morrison

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Morrison. A scholar is included among the top collaborators of James R. Morrison 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 James R. Morrison. James R. Morrison 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.
Cheng, Fan‐Tien, Chia‐Yen Lee, Min‐Hsiung Hung, et al.. (2022). Special Issue on Automation Analytics Beyond Industry 4.0: From Hybrid Strategy to Zero-Defect Manufacturing. IEEE Transactions on Automation Science and Engineering. 19(3). 1472–1476. 5 indexed citations
2.
Morrison, James R., et al.. (2021). Fundamental Behaviors in Hybrid Deterministic Flow Lines With Applications. IEEE Transactions on Automation Science and Engineering. 19(3). 2229–2244.
4.
Morrison, James R., et al.. (2020). Practical Queueing Models for Preventive Maintenance Plan Optimization: Multiple Maintenance Types and Numerical Studies. IEEE Transactions on Semiconductor Manufacturing. 34(1). 104–114. 4 indexed citations
5.
Kalir, Adar, et al.. (2017). Evaluation of Preventive Maintenance Segregation: A Multi Factorial Study. IEEE Transactions on Semiconductor Manufacturing. 30(4). 508–514. 5 indexed citations
6.
Park, Jung Yeon, Kyungsu Park, & James R. Morrison. (2017). Models of Clustered Photolithography Tools for Fab-Level Simulation: From Affine to Flow Line. IEEE Transactions on Semiconductor Manufacturing. 30(4). 547–558. 7 indexed citations
7.
Morrison, James R., et al.. (2017). OPTIMIZATION OF PREVENTIVE MAINTENANCE PLANS IN G/G/M QUEUEING NETWORKS AND NUMERICAL STUDY WITH MODELS BASED ON SEMICONDUCTOR WAFER FABS. International journal of industrial engineering. 23(5). 7 indexed citations
8.
Morrison, James R., et al.. (2017). Design of engineering courses as a service: emotions,senses and implementation. 33(5). 1561–1564.
9.
Dai, Yun, Ang Liu, James R. Morrison, & Stephen C.-Y. Lu. (2016). Systemic design of interactive learning environment for global engineering courses. International journal of engineering education. 32(6). 2597–2611. 3 indexed citations
10.
Shin, Jin-Ho, et al.. (2016). Mean cycle time approximations for G/G/M queueing networks using decomposition without aggregation with application to fab datasets. Winter Simulation Conference. 2685–2696. 1 indexed citations
11.
Morrison, James R., et al.. (2016). A risk based methodology for managing material/product life cycle disruptions. 1–6. 1 indexed citations
12.
Lee, Minho, James R. Morrison, & Adar Kalir. (2015). Simulation studies on model selection in PM planning optimization. Winter Simulation Conference. 2929–2940. 2 indexed citations
13.
Lee, Min-Ho, James R. Morrison, & Adar Kalir. (2015). Simulation studies on model selection in pm planning optimization. 2015 Winter Simulation Conference (WSC). 2929–2940. 3 indexed citations
14.
Morrison, James R., et al.. (2014). Mean cycle time optimization in semiconductor tool sets via PM planning with different cycles: a G/G/m queueing and nonlinear programming approach. Winter Simulation Conference. 2466–2477. 5 indexed citations
15.
Park, Kyungsu & James R. Morrison. (2011). Cluster tool design comparisons via simulation. Winter Simulation Conference. 1877–1887. 1 indexed citations
16.
Morrison, James R.. (2011). On the fidelity of the ax+b equipment model for clustered photolithography scanners in fab-level simulation. Winter Simulation Conference. 2034–2044. 1 indexed citations
17.
Kim, Woosung, et al.. (2010). Capacity and queueing evaluation of port systems with offshore container unloading. 2 indexed citations
18.
Morrison, James R.. (2009). Equipment models for fab level proudction simulation: practical features and computational tractability. Winter Simulation Conference. 1581–1591. 4 indexed citations
19.
Morrison, James R. & P. R. Kumar. (2002). Stability and performance analysis of queueing networks with virtual multiserver stations. 4. 3538–3543.
20.
Morrison, James R., Christian France‐Lanord, & Anne‐Catherine Pierson‐Wickmann. (1999). Oxygen-Sulphur-Isotopic Measurement in Continuous Flow Mode: Application to the Origin of Dissolved Sulphates in Himalayan Rivers Using Elemental Analyzer Stable Isotope Ratio Mass Spectrometry. 7620. 3 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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