Does geography matter? Implications for future tourism research in light of COVID-19.

Judit Sulyok, Beáta Fehérvölgyi, Tibor Csizmadia, Attila I Katona, Zsolt T Kosztyán

Abstract read

In one paragraph

Article in Scientometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Evolution characteristics and obstacle factors of rural resilience in Chinese minority areas in the background of rural tourism and COVID-19.Scientific reports · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Judit SulyokDepartment of Tourism, Faculty of Business and Economics, Institute of Business, University of Pannonia, Hungary, Egyetem str. 10, Veszprém, 8200 Hungary.

Beáta FehérvölgyiDepartment of Tourism, Faculty of Business and Economics, Institute of Business, University of Pannonia, Hungary, Egyetem str. 10, Veszprém, 8200 Hungary.

Tibor CsizmadiaDepartment of Management, Faculty of Business and Economics, Institute of Management, University of Pannonia, Egyetem str. 10, Veszprém, 8200 Hungary.

Attila I KatonaDepartment of Quantitative Methods, Faculty of Business and Economics, Institute of Management, University of Pannonia, Egyetem str. 10, Veszprém, 8200 Hungary.

Zsolt T KosztyánDepartment of Quantitative Methods, Faculty of Business and Economics, Institute of Management, University of Pannonia, Egyetem str. 10, Veszprém, 8200 Hungary.ORCID 0000-0001-7345-8336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the 2019 new coronavirus disease (COVID-19) pandemic, tourism is undergoing fundamental changes that are affecting tourism research. This situation calls for in-depth analyses of tourism research. Scholars have already published review studies on COVID-19-related research within the tourism field; however, these studies do not connect findings, such as the research focus, research methodology and target group, to form a research profile, and the geographical patterns of the findings are not identified. study, COVID-19-related tourism studies were collected and analyzed in depth following the Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA) method. In addition, data-driven methods, such as spatial multilayer networks, frequent patterns and content-based analyses, were applied to identify research profiles and their geographic patterns. This study pointed out the role of geographic patterns in tourism research, going beyond the research of the authors. Moreover, topics, focus destinations, applied methodologies and employed data sources have relevant geographic patterns. Four dominant research profiles that show that a shift can be observed in tourism research toward data sources and research methods were identified. Due to COVID-19, the strengthening of the application of quantitative methods and employment of secondary data sources are needed. Supplementary Information: The online version contains supplementary material available at 10.1007/s11192-022-04615-z.

Indexed as

COVID-19Research methodsReviewSpatial networkText miningTourism

Identifiers

PMID36647425

DOI10.1007/s11192-022-04615-z

PMCPMC9833032

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.