The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Evaluating Information Visualizations
Overview
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Integrity signals
Registry
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Statistics
Verification
Claims the paper makes
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Self-check
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Citations
Cites
(1998) · Sage eBooks · Cited by 38,631
Qualitative research and evaluation methods
Patton, M. Q. (1980) · Cited by 35,626
(1998) · Cited by 18,576
(1998) · Cited by 13,501
Wallace, A. F. C., & Garfinkel, H. (1968) · American Sociological Review · doi:10.2307/2092245 · Cited by 12,445
Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory
Corbin, J., & Strauss, A. (2008) · SAGE · doi:10.4135/9781452230153 · Cited by 12,136
Interviewing as qualitative research a guide for researchers in education and the social sciences
Seidman, I. (2006) · Cited by 9,889
Toward a Conceptual Framework for Mixed-Method Evaluation Designs
Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737011003255 · Cited by 5,687
Analyzing Social Settings: A Guide To Qualitative Observation And Analysis
Lofland, J., & , J. (1971) · Works - Scholarship, Research, & Creative Expression (Swarthmore College) · Cited by 5,625
The visual display of quantitative information
(1985) · General Pharmacology: The Vascular System · doi:10.1016/0306-3623(85)90230-7 · Cited by 5,070
Cited by
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2021) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3387166 · Cited by 785
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2018) · arXiv · doi:10.48550/arxiv.1811.11839 · Cited by 783
Empirical Studies in Information Visualization: Seven Scenarios
Lam, H., Bertini, E., Isenberg, P., Plaisant, C., & Carpendale, S. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.279 · Cited by 623
Self-citationA Review of User Interface Design for Interactive Machine Learning
Dudley, J. J., & Kristensson, P. O. (2018) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3185517 · Cited by 343
Ranking Visualizations of Correlation Using Weber's Law
Harrison, L., Yang, F., Franconeri, S., & Chang, R. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346979 · Cited by 212
Metadata
- Authors
- Carpendale, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008-07-18
- Pages
- 19-45
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W52809394
- Cited by
- 364
- References
- 83
- FWCI
- 8.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evaluating Information Visualizations. https://app.cochat.ai/papers/10.1007/978-3-540-70956-5_2
- The paper
- Carpendale, S. (2008). Evaluating Information Visualizations. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-70956-5_2
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.
