Paul Goodall

719 citations
19 papers · 496 · h-index 10

Impact in

Papers in

Paul Goodall

17 papers receiving 481 citations

Peers

Paul Goodall
Comparison fields: 5 of 68
  • Industrial and Manufacturing Engineering 249
  • Industrial and Manufacturing Engineering 129
  • Strategy and Management 220
  • Management Information Systems 59
  • Business and International Management 12
Replace Monika Kosacka-Olejnik with:
Monika Kosacka-Olejnik Poland
Aihua Huang United States
Mark Mennenga Germany
Mairi Kerin United Kingdom
Elisa Gebennini Italy
Nur Aini Masruroh Indonesia
Ardeshir Raihanian Mashhadi United States
Shanshan Yang China
Shaun West Switzerland
Emma Rosamond United Kingdom
Paul Goodall relative to Monika Kosacka-Olejnik Poland Monika Kosacka-Olejnik's profile →
Citations per field
00.5×1.5×2.2×
Monika Kosacka-Olejnik · 1×
Citations per year

Countries citing papers authored by Paul Goodall

Since Specialization
Citations

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

Fields of papers citing papers by Paul Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Paul Goodall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Goodall Line = papers co-authored together Paul Goodall links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014136
2 201896
3 201967
4 201538
5 201735
6 202029
7 202123
8 202314
9 201512
10 202211
11 20207
12 20236
13 20196
14 20246
15 20244
16 20213
17 20203
18 20250
19 20260

About Paul Goodall

Paul Goodall is a scholar working on Industrial and Manufacturing Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Strategy and Management, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (8 papers), Digital Transformation in Industry (5 papers), Recycling and Waste Management Techniques (4 papers), Sustainable Supply Chain Management (3 papers), Energy Efficiency and Management (3 papers), Advanced Machining and Optimization Techniques (3 papers), Advanced machining processes and optimization (3 papers) and Flexible and Reconfigurable Manufacturing Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (249 citations), Industrial and Manufacturing Engineering (129 citations), Strategy and Management (220 citations), Management Information Systems (59 citations) and Business and International Management (12 citations). Paul Goodall has collaborated with scholars based in United Kingdom, Italy and China. Frequent co-authors include Andrew West, Richard Sharpe, Emma Rosamond, Paul Conway, Katherine van Lopik, Ian Graham, Julien Mascolo, Claire Palmer, Lisa Jackson and J. A. Harding. Their work appears in journals such as Computers in Industry, Journal of Cleaner Production, Robotics and Computer-Integrated Manufacturing, Advanced Engineering Informatics and Mechanical Systems and Signal Processing.

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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