Anders Skoogh

2.7k total citations
98 papers, 1.8k citations indexed

About

Anders Skoogh is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Anders Skoogh has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Industrial and Manufacturing Engineering, 44 papers in Management Information Systems and 28 papers in Management Science and Operations Research. Recurrent topics in Anders Skoogh's work include Digital Transformation in Industry (25 papers), Quality and Supply Management (25 papers) and Simulation Techniques and Applications (21 papers). Anders Skoogh is often cited by papers focused on Digital Transformation in Industry (25 papers), Quality and Supply Management (25 papers) and Simulation Techniques and Applications (21 papers). Anders Skoogh collaborates with scholars based in Sweden, United States and Germany. Anders Skoogh's co-authors include Jon Bokrantz, Björn Johansson, Johan Stahre, Cecilia Berlin, Maheshwaran Gopalakrishnan, Mukund Subramaniyan, Thorsten Wuest, Ebru Turanoğlu Bekar, Azam Sheikh Muhammad and Swee Leong Sing and has published in prestigious journals such as IEEE Access, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Anders Skoogh

93 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders Skoogh Sweden 24 946 516 357 298 241 98 1.8k
Francesco Zammori Italy 17 572 0.6× 529 1.0× 284 0.8× 322 1.1× 119 0.5× 57 1.5k
Johan Stahre Sweden 25 1.6k 1.7× 521 1.0× 134 0.4× 395 1.3× 184 0.8× 128 2.5k
Marco Garetti Italy 19 884 0.9× 355 0.7× 100 0.3× 572 1.9× 147 0.6× 74 1.8k
Shanhu Yang United States 6 1.2k 1.3× 399 0.8× 79 0.2× 242 0.8× 125 0.5× 7 1.8k
Marco Frosolini Italy 20 350 0.4× 495 1.0× 474 1.3× 307 1.0× 224 0.9× 48 1.3k
Bernard Grabot France 22 721 0.8× 701 1.4× 273 0.8× 377 1.3× 109 0.5× 79 2.0k
El‐Houssaine Aghezzaf Belgium 32 1.5k 1.6× 775 1.5× 331 0.9× 636 2.1× 780 3.2× 170 3.1k
Tullio Tolio Italy 31 2.6k 2.7× 795 1.5× 290 0.8× 467 1.6× 320 1.3× 155 3.5k
Mustapha Nourelfath Canada 31 748 0.8× 680 1.3× 216 0.6× 582 2.0× 1.4k 6.0× 118 2.8k
Robert Boute Belgium 22 434 0.5× 847 1.6× 338 0.9× 471 1.6× 124 0.5× 93 1.6k

Countries citing papers authored by Anders Skoogh

Since Specialization
Citations

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

Fields of papers citing papers by Anders Skoogh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Skoogh

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Skoogh. A scholar is included among the top collaborators of Anders Skoogh 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 Anders Skoogh. Anders Skoogh 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.
Skoogh, Anders, et al.. (2025). Environmental Impacts of Production Disturbances in Manufacturing from an OEE Perspective. Procedia CIRP. 134. 331–336.
2.
Bandaru, Sunith, et al.. (2025). Comparison of unsupervised image anomaly detection models for sheet metal glue lines. Engineering Applications of Artificial Intelligence. 153. 110740–110740.
3.
4.
Skoogh, Anders, Matthias Thürer, Mukund Subramaniyan, Andréa Matta, & Christoph Roser. (2023). Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes. Production & Manufacturing Research. 11(1). 3 indexed citations
5.
Bekar, Ebru Turanoğlu, et al.. (2022). A Predictive Maintenance Application for A Robot Cell using LSTM Model. IFAC-PapersOnLine. 55(19). 115–120. 6 indexed citations
6.
Gullander, Per, et al.. (2021). Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management. Journal of Manufacturing Technology Management. 32(9). 285–303. 17 indexed citations
7.
Gullander, Per, et al.. (2021). Prioritisation of root cause analysis in production disturbance management. International Journal of Quality & Reliability Management. 39(5). 1133–1150. 5 indexed citations
8.
Skoogh, Anders, et al.. (2017). Forming effective culturally diverse work teams in project courses. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
9.
Skoogh, Anders, et al.. (2017). Identification of maintenance improvement potential using OEE assessment. International Journal of Productivity and Performance Management. 66(1). 126–143. 55 indexed citations
10.
Gopalakrishnan, Maheshwaran, et al.. (2016). Buffer utilization based scheduling of maintenance activities by a shifting priority approach: a simulation study. Winter Simulation Conference. 2797–2808. 1 indexed citations
11.
Andersson, Clas, et al.. (2013). Startup methodology for production flow simulation projects assessing environmental sustainability. Winter Simulation Conference. 1926–1937. 3 indexed citations
12.
Gopalakrishnan, Maheshwaran, et al.. (2013). Simulation-based planning of maintenance activities in the automotive industry. Winter Simulation Conference. 2610–2621. 12 indexed citations
13.
Andersson, Jon, Björn Johansson, Jonatan Berglund, & Anders Skoogh. (2012). Framework for Ecolabeling using Discrete Event Simulation. Chalmers Publication Library (Chalmers University of Technology). 11 indexed citations
14.
Andersson, Jon, Anders Skoogh, & Björn Johansson. (2012). Evaluation of methods used for life-cycle assessments in discrete event simulation. Winter Simulation Conference. 1–12. 8 indexed citations
15.
Lindskog, Erik, et al.. (2011). A method for determining the environmental footprint of industrial products using simulation. Winter Simulation Conference. 2136–2147. 16 indexed citations
16.
Johansson, Björn, et al.. (2010). Simulation data architecture for sustainable development. Winter Simulation Conference. 42. 3435–3446. 18 indexed citations
17.
Skoogh, Anders. (2009). Methods for Input Data Management - Reducing the Time-Consumption in Discrete Event Simulation. Chalmers Publication Library (Chalmers University of Technology). 11 indexed citations
18.
Bengtsson, Nils, Guodong Shao, Björn Johansson, et al.. (2009). Input data management methodology for discrete event simulation. Winter Simulation Conference. 1335–1344. 27 indexed citations
19.
Skoogh, Anders & Björn Johansson. (2007). TIME-CONSUMPTION ANALYSIS OF INPUT DATA ACTIVITIES IN DISCRETE EVENT SIMULATION PROJECTS. Chalmers Research (Chalmers University of Technology). 20 indexed citations
20.
Johansson, Marcus, Björn Johansson, Anders Skoogh, et al.. (2007). A test implementation of the core manufacturing simulation data specification. Winter Simulation Conference. 1673–1681. 29 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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