Paul Laughlin
Impact in
- Management Information Systems top 10%
- Big Data and Business Intelligence
- Marketing top 10%
- Consumer Retail Behavior Studies
Papers in
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- Digital Marketing and Social Media 4
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- Digital Platforms and Economics 1
- Business Strategy and Innovation 1
- Co-authors
- Merlin Stone (5 shared papers)Eleni Aravopoulou (4 shared papers)Geraint Evans (2 shared papers)Liz Machtynger (2 shared papers)Ashraf Labib (2 shared papers)Yüksel Ekinci (2 shared papers)Emanuela Todeva (1 shared paper)Neil Woodcock (1 shared paper)
- Journals
- The Bottom Line Managing Library Finances (2 papers)Journal of Research in Interactive Marketing (1 paper)Journal of Direct Data and Digital Marketing Practice (1 paper)Research Repository (Kingston University London) (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Paul Laughlin
6 papers receiving 265 citations
Paul Laughlin's Hit Papers
Peers
Comparison fields: 5 of 54
- Management Information Systems 86
- Marketing 50
- Health Informatics 7
- Information Systems and Management 33
- Management of Technology and Innovation 34
Countries citing papers authored by Paul Laughlin
This map shows the geographic impact of Paul Laughlin'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 Laughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Laughlin more than expected).
Fields of papers citing papers by Paul Laughlin
This network shows the impact of papers produced by Paul Laughlin. 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 Laughlin. The network helps show where Paul Laughlin may publish in the future.
Co-authors
The 9 scholars most cited alongside Paul Laughlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence (AI) in strategic marketing decision-making: a research agenda Hit paper breakdown → | 2020 | 223 |
| 2 | 2017 | 45 | |
| 3 | 2016 | 15 | |
| 4 | 2014 | 7 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 2 |
About Paul Laughlin
Paul Laughlin is a scholar working on Sociology and Political Science, Strategy and Management, Management Information Systems, Marketing and Information Systems and Management, having authored 6 papers that have together received 294 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Digital Platforms and Economics (1 paper), Forecasting Techniques and Applications (1 paper), Customer Service Quality and Loyalty (1 paper), Impact of AI and Big Data on Business and Society (1 paper), Business Strategy and Innovation (1 paper), Marketing and Advertising Strategies (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Management Information Systems (86 citations), Marketing (50 citations), Health Informatics (7 citations), Information Systems and Management (33 citations) and Management of Technology and Innovation (34 citations). Paul Laughlin has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Merlin Stone, Eleni Aravopoulou, Geraint Evans, Liz Machtynger, Ashraf Labib, Yüksel Ekinci, Emanuela Todeva, Neil Woodcock and Luiz Moutinho. Their work appears in journals such as The Bottom Line Managing Library Finances, Journal of Research in Interactive Marketing, Journal of Direct Data and Digital Marketing Practice and Research Repository (Kingston University London).
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.