Mark Goh

15.7k citations
386 papers · 11.7k · 2 hit papers · h-index 58

Impact in

Papers in

Mark Goh

368 papers receiving 11.1k citations

Mark Goh's Hit Papers

Systematic literature review of human–machine collaboration in organizations using bibliometric analysis 2023 · 63 citations
630+5+10Years since publication100200300400

Peers

Mark Goh
Comparison fields: 5 of 174
  • Management Information Systems 3.3k
  • Strategy and Management 4.5k
  • Industrial and Manufacturing Engineering 2.2k
  • Management Science and Operations Research 2.5k
  • Marketing 1.1k
Replace Hokey Min with:
Hokey Min United States
Jafar Rezaei Netherlands
Zuo‐Jun Max Shen United States
Ali Diabat United States
David Simchi‐Levi United States
Manoj Kumar Tiwari India
S. Ali Torabi Iran
Behnam Fahimnia Australia
Madjid Tavana United States
Ming K. Lim United Kingdom
Mark Goh relative to Hokey Min United States Hokey Min's profile →
Citations per field
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Hokey Min · 1×
Citations per year

Countries citing papers authored by Mark Goh

Since Specialization
Citations

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

Fields of papers citing papers by Mark Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Goh, 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 Mark Goh Line = papers co-authored together Mark Goh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 386 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covering problems in facility location: A review
Hit paper breakdown →
2011442
2 2010388
3 2007292
4 2017236
5 2015207
6 2018178
7 2003175
8 2002152
9 2018149
10 2010139
11 2018129
12 2009126
13 2008124
14 2017121
15 2021117
16 2012116
17 2020114
18 2017111
19 2013108
20 2020108

About Mark Goh

Mark Goh is a scholar working on Strategy and Management, Management Science and Operations Research, Management Information Systems, Industrial and Manufacturing Engineering and Marketing, having authored 386 papers that have together received 11.7k indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (80 papers), Multi-Criteria Decision Making (70 papers), Supply Chain and Inventory Management (55 papers), Quality and Supply Management (37 papers), Supply Chain Resilience and Risk Management (31 papers), Maritime Ports and Logistics (23 papers), Outsourcing and Supply Chain Management (23 papers) and Urban and Freight Transport Logistics (23 papers). The work is most often cited by research in Management Information Systems (3.3k citations), Strategy and Management (4.5k citations), Industrial and Manufacturing Engineering (2.2k citations), Management Science and Operations Research (2.5k citations) and Marketing (1.1k citations). Mark Goh has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Robert de Souza, Congjun Rao, Yenchun Jim Wu, Reza Kiani Mavi, Fanwen Meng, Mingyun Gao, Xinping Xiao, Navid Zarbakhshnia, Shanmugam Prasanna Venkatesan and Reza Zanjirani Farahani. Their work appears in journals such as Computers & Industrial Engineering, International Journal of Production Research, European Journal of Operational Research, Expert Systems with Applications and Journal of Cleaner Production.

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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