John Gammack

56 papers receiving 830 citations

John Gammack's Hit Papers

A Big Data Analytics Method for Tourist Behaviour Analysis 2016 · 253 citations
2530+3+6Years since publication50100150200250

Peers

John Gammack
Comparison fields: 5 of 113
  • Information Systems and Management 113
  • Management Information Systems 130
  • Transportation 72
  • General Decision Sciences 19
  • Health Information Management 40
Replace Guisseppi A. Forgionne with:
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Andrej Zwitter Netherlands
Ozgur Turetken Canada
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Hsiangchu Lai Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by John Gammack

Since Specialization
Citations

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

Fields of papers citing papers by John Gammack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside John Gammack, 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 John Gammack Line = papers co-authored together John Gammack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Big Data Analytics Method for Tourist Behaviour Analysis
Hit paper breakdown →
2016253
2 200679
3 201656
4 201741
5 200439
6 199438
7 201737
8
Tourism and the Branded City: Film and Identity on the Pacific Rim
200728
9 201927
10 200326
11 200722
12 200820
13 201918
14 201416
15 199014
16 199313
17 201913
18 201912
19 200812
20 200510

About John Gammack

John Gammack is a scholar working on Sociology and Political Science, Management Information Systems, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 60 papers that have together received 908 indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (7 papers), Big Data and Business Intelligence (7 papers), Business Process Modeling and Analysis (6 papers), Information Systems Theories and Implementation (6 papers), Mobile Health and mHealth Applications (5 papers), Semantic Web and Ontologies (5 papers), Technology Adoption and User Behaviour (5 papers) and Complex Systems and Decision Making (4 papers). The work is most often cited by research in Information Systems and Management (113 citations), Management Information Systems (130 citations), Transportation (72 citations), General Decision Sciences (19 citations) and Health Information Management (40 citations). John Gammack has collaborated with scholars based in Australia, United Arab Emirates and United Kingdom. Frequent co-authors include Shah Jahan Miah, Huy Quan Vu, Michael McGrath, Najmul Hasan, Gene Rowe, Don Kerr, Stephanie Hemelryk Donald, Fergus Bolger, George Wright and Judy McKay. Their work appears in journals such as Information Systems, Journal of Organizational and End User Computing, Journal of Enterprise Information Management, Journal of electronic commerce research and Information & Management.

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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