Paul Laughlin

465 citations
6 papers · 324 · 1 hit paper · h-index 4

Impact in

Papers in

Paul Laughlin

6 papers receiving 290 citations

Paul Laughlin's Hit Papers

Artificial intelligence (AI) in strategic marketing decision-making: a research agenda 2020 · 252 citations
2520+2+4Years since publication50100150200250

Peers

Paul Laughlin
Comparison fields: 5 of 46
  • Management of Technology and Innovation 50
  • Marketing 55
  • Artificial Intelligence 164
  • Management Science and Operations Research 54
  • Management Information Systems 31
Replace Liz Machtynger with:
Liz Machtynger United Kingdom
Seongmin Jeon South Korea
Maria Cristina Pietronudo Italy
Antonio Carlos Cuenca Ballester Spain
Peter Gentsch Germany
Abbas Gatea Atiyah Iraq
Saida Sultana Australia
Yen‐Chun Chou Taiwan
Hyekyung Park United States
Erol Pala New Zealand
Paul Laughlin relative to Liz Machtynger United Kingdom Liz Machtynger's profile →
Citations per field
00.5×2×3×4×5×
Liz Machtynger · 1×
Citations per year

Countries citing papers authored by Paul Laughlin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

6 of 6 papers shown
#Work
1
Artificial intelligence (AI) in strategic marketing decision-making: a research agenda
Hit paper breakdown →
2020252
2 201745
3 201616
4 20147
5 20212
6 20212

About Paul Laughlin

Paul Laughlin is a scholar working on Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Management of Technology and Innovation and Management Information Systems, having authored 6 papers that have together received 324 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (2 papers), Artificial Intelligence Applications (2 papers), Marketing and Advertising Strategies (2 papers), Customer churn and segmentation (1 paper), Digital Innovation in Industries (1 paper), Big Data and Business Intelligence (1 paper), Impact of AI and Big Data on Business and Society (1 paper) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Management of Technology and Innovation (50 citations), Marketing (55 citations), Artificial Intelligence (164 citations), Management Science and Operations Research (54 citations) and Management Information Systems (31 citations). Paul Laughlin has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Merlin Stone, Eleni Aravopoulou, Ashraf Labib, Liz Machtynger, Yüksel Ekinci, Jon Machtynger, Emanuela Todeva, Luiz Moutinho and Neil Woodcock. 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 Routledge eBooks.

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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