The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Virtual and remote labs in education: A bibliometric analysis
Open accessAbstract
Laboratory experimentation plays an essential role in engineering and scientific education. Virtual and remote labs reduce the costs associated with conventional hands-on labs due to their required equipment, space, and maintenance staff. Furthermore, they provide additional benefits such as supporting distance learning, improving lab accessibility to handicapped people, and increasing safety for dangerous experimentation. This paper analyzes the literature on virtual and remote labs from its beginnings to 2015, identifying the most influential publications, the most researched topics, and how the interest in those topics has evolved along the way. To do so, bibliographical data gathered from ISI Web of Science, Scopus and GRC2014 have been examined using two prominent bibliometric approaches: science mapping and performance analysis. Display Omitted Laboratory experimentation plays an essential role in engineering and sci-entific education.Virtual and remote labs are emerging as a valuable alternative to conven-tional hands-on labs.This paper analyzes the literature on virtual and remote labs from 1993 to 2015.4405 records retrieved from ISI Web of Science, Scopus and GRC2014 are processed.Two bibliometric approaches are applied: performance analysis and science mapping.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1983) · Cited by 33,192
An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Science mapping software tools: Review, analysis, and cooperative study among tools
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21525 · Cited by 3,242
Self-citationCobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011) · Journal of Informetrics · doi:10.1016/j.joi.2010.10.002 · Cited by 2,733
Self-citationCallon, M., Courtial, J. P., & Laville, F. (1991) · Scientometrics · doi:10.1007/bf02019280 · Cited by 2,090
Börner, K., Chen, C., & Boyack, K. W. (2003) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440370106 · Cited by 1,812
Citation Indexing-Its Theory and Application in Science, Technology, and Humanities
Goodwin, J., & Garfield, E. (1980) · Technology and Culture · doi:10.2307/3104125 · Cited by 1,639
Mapping the Dynamics of Science and Technology
(1986) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-07408-2 · Cited by 1,296
SciMAT: A new science mapping analysis software tool
Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22688 · Cited by 1,213
Self-citationPhysical and Virtual Laboratories in Science and Engineering Education
de Jong, T., Linn, M. C., & Zacharia, Z. C. (2013) · Science · doi:10.1126/science.1230579 · Cited by 1,083
Cited by
Application and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003
Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2021) · Smart Learning Environments · doi:10.1186/s40561-020-00145-4 · Cited by 325
Exploring Two Decades of Research on Classroom Dialogue by Using Bibliometric Analysis
Song, Y., Chen, X., Hao, T., Liu, Z., & Lan, Z. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.002 · Cited by 245
Stopar, K., & Bartol, T. (2019) · Scientometrics · doi:10.1007/s11192-018-2990-5 · Cited by 119
Bumbacher, E., Salehi, S., Wieman, C., & Blikstein, P. (2018) · Journal of Science Education and Technology · doi:10.1007/s10956-017-9719-8 · Cited by 59
Metadata
- Authors
- Heradio, R., de la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 98
- Pages
- 14-38
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2510091332
- Cited by
- 574
- References
- 125
- FWCI
- 54.39
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Virtual and remote labs in education: A bibliometric analysis. https://app.cochat.ai/papers/10.1016/j.compedu.2016.03.010
- The paper
- Heradio, R., de la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education. https://doi.org/10.1016/j.compedu.2016.03.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
