John Ladbrook

457 total citations
26 papers, 326 citations indexed

About

John Ladbrook is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, John Ladbrook has authored 26 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 13 papers in Industrial and Manufacturing Engineering and 6 papers in Management Information Systems. Recurrent topics in John Ladbrook's work include Simulation Techniques and Applications (15 papers), Assembly Line Balancing Optimization (8 papers) and Business Process Modeling and Analysis (6 papers). John Ladbrook is often cited by papers focused on Simulation Techniques and Applications (15 papers), Assembly Line Balancing Optimization (8 papers) and Business Process Modeling and Analysis (6 papers). John Ladbrook collaborates with scholars based in United Kingdom, Singapore and United States. John Ladbrook's co-authors include Tim Baines, Stephen Mason, Peer‐Olaf Siebers, Simon J. E. Taylor, Stewart Robinson, John Kay, John S. Edwards, Gary Tan, Stephen John Turner and Xiaoguang Wang and has published in prestigious journals such as Journal of Cleaner Production, Journal of the Operational Research Society and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

John Ladbrook

24 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Ladbrook United Kingdom 12 146 138 90 36 33 26 326
M. C. Bonney United Kingdom 10 294 2.0× 110 0.8× 160 1.8× 44 1.2× 35 1.1× 30 506
Jean O'reilly United Kingdom 7 141 1.0× 124 0.9× 89 1.0× 5 0.1× 26 0.8× 21 357
Lorenzo Tiacci Italy 12 330 2.3× 85 0.6× 122 1.4× 17 0.5× 7 0.2× 27 485
Sergey Kovalev France 14 506 3.5× 41 0.3× 38 0.4× 19 0.5× 49 1.5× 40 580
J.J.M. Evers Netherlands 9 164 1.1× 31 0.2× 97 1.1× 45 1.3× 9 0.3× 16 385
Carlos Andrés Romano Spain 8 452 3.1× 50 0.4× 17 0.2× 26 0.7× 32 1.0× 27 526
Leonardo Chwif Brazil 9 145 1.0× 146 1.1× 75 0.8× 8 0.2× 23 0.7× 28 319
Choonjong Kwak South Korea 10 141 1.0× 50 0.4× 76 0.8× 13 0.4× 27 0.8× 24 337
Bikram Sharda United States 9 121 0.8× 84 0.6× 73 0.8× 4 0.1× 9 0.3× 21 316

Countries citing papers authored by John Ladbrook

Since Specialization
Citations

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

Fields of papers citing papers by John Ladbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Ladbrook

This figure shows the co-authorship network connecting the top 25 collaborators of John Ladbrook. A scholar is included among the top collaborators of John Ladbrook 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 John Ladbrook. John Ladbrook 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.
Higgins, Michael & John Ladbrook. (2018). FORD’S POWER TRAIN OPERATIONS: CHANGING THE SIMULATION ENVIRONMENT 2. 2018 Winter Simulation Conference (WSC). 3308–3318. 1 indexed citations
2.
Ladbrook, John, et al.. (2015). A simple energy usage toolkit from manufacturing simulation data. Journal of Cleaner Production. 122. 266–276. 14 indexed citations
3.
Ladbrook, John, et al.. (2011). Simulation study for investment decisions on the EcoBoost camshaft machining line. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 225(11). 2124–2137. 4 indexed citations
4.
Ladbrook, John, Malcolm Yoke Hean Low, Steffen Straßburger, et al.. (2006). Developing interoperability standards for distributed simulaton and COTS simulation packages with the CSPI PDG. Winter Simulation Conference. 1101–1110. 4 indexed citations
5.
Taylor, Simon J. E., Steffen Straßburger, Stephen John Turner, et al.. (2006). Developing Interoperability Standards for Distributed Simulaton and Cots Simulation Packages with the CSPI PDG. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1101–1110. 7 indexed citations
6.
Mustafee, Navonil, et al.. (2006). Grid-enabling FIRST: Speeding Up Simulation Applications Using WinGrid. 157–164. 11 indexed citations
7.
Taylor, Simon J. E., et al.. (2005). Investigating distributed simulation at the Ford Motor Company. 139–147. 19 indexed citations
8.
Taylor, Simon J. E., Stewart Robinson, & John Ladbrook. (2005). An Investigation into the Use of Net-Conferencing Groupware in Simulation Modelling. Journal of Computing and Information Technology. 13(2). 95–95. 4 indexed citations
9.
Robinson, Stewart, et al.. (2004). Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system. Journal of the Operational Research Society. 56(8). 912–921. 24 indexed citations
10.
11.
Oyarbide-Zubillaga, Aitor, Tim Baines, John Kay, & John Ladbrook. (2003). A manufacturing systems modelling using system dynamics: forming a dedicated modelling tool. Aston Publications Explorer (Aston University). 26–32. 1 indexed citations
12.
Baines, Tim, Stephen Mason, Peer‐Olaf Siebers, & John Ladbrook. (2003). Humans: the missing link in manufacturing simulation?. Simulation Modelling Practice and Theory. 12(7-8). 515–526. 86 indexed citations
13.
Taylor, Simon J. E., Stewart Robinson, & John Ladbrook. (2003). TOWARDS COLLABORATIVE SIMULATION MODELLING: IMPROVING HUMAN-TO-HUMAN INTERACTION THROUGH GROUPWARE. 11 indexed citations
14.
Oyarbide-Zubillaga, Aitor, Tim Baines, John Kay, & John Ladbrook. (2003). MANUFACTURING SYSTEMS MODELLING USING SYSTEM DYNAMICS: FORMING A DEDICATED MODELLING TOOL. Journal of Advanced Manufacturing Systems. 2(1). 71–87. 20 indexed citations
15.
Ladbrook, John, et al.. (2003). TOWARDS COMPOSABLE SIMULATION: SUPPORTING THE DESIGN OF ENGINE ASSEMBLY LINES. 6 indexed citations
16.
Taylor, Simon J. E., Stewart Robinson, Vlatka Hlupić, & John Ladbrook. (2002). GROUPSIM: investigating issues in collaborative simulation modelling. iScience. 27(5). 109708–109708. 2 indexed citations
17.
Ladbrook, John, et al.. (2002). Virtual worlds: experiencing virtual factories of the future. Winter Simulation Conference. 513–517. 11 indexed citations
18.
Ladbrook, John, et al.. (2002). Ford's Power Train Operations-changing the simulation environment. Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304). 2. 863–869. 4 indexed citations
19.
Robinson, Stewart, et al.. (2002). Modelling and Improving Maintenance Decisions: Having Foresight with Simulation and Artificial Intelligence. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
20.
Robinson, Stewart, et al.. (2001). Knowledge based improvement:simulation and AI for improving unplanned maintenance operations. Aston Publications Explorer (Aston University). 49–60.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. C. Bonney Breakdown of academic impact, for papers by Jean O'reilly Breakdown of academic impact, for papers by Lorenzo Tiacci Breakdown of academic impact, for papers by Sergey Kovalev Breakdown of academic impact, for papers by J.J.M. Evers Breakdown of academic impact, for papers by Carlos Andrés Romano Breakdown of academic impact, for papers by Leonardo Chwif Breakdown of academic impact, for papers by Choonjong Kwak Breakdown of academic impact, for papers by Bikram Sharda
Rankless by CCL
2026