Leslie M. Blaha

813 total citations
34 papers, 445 citations indexed

About

Leslie M. Blaha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Leslie M. Blaha has authored 34 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Social Psychology. Recurrent topics in Leslie M. Blaha's work include Data Visualization and Analytics (8 papers), Human-Automation Interaction and Safety (5 papers) and Face Recognition and Perception (3 papers). Leslie M. Blaha is often cited by papers focused on Data Visualization and Analytics (8 papers), Human-Automation Interaction and Safety (5 papers) and Face Recognition and Perception (3 papers). Leslie M. Blaha collaborates with scholars based in United States, Australia and United Kingdom. Leslie M. Blaha's co-authors include Joseph W. Houpt, James T. Townsend, Paul R. Havig, Lyndsey Franklin, Emily Wall, Alex Endert, John P. McIntire, Robert Patterson, Georges Grinstein and Dustin Arendt and has published in prestigious journals such as Neuropsychologia, Cognitive Science and Behavior Research Methods.

In The Last Decade

Leslie M. Blaha

32 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Leslie M. Blaha United States	10	160	145	95	78	65	34	445
Steve Haroz United States	10	306 1.9×	191 1.3×	97 1.0×	75 1.0×	73 1.1×	18	529
Anna Jordanous United Kingdom	10	110 0.7×	115 0.8×	138 1.5×	168 2.2×	34 0.5×	45	417
Agnese Augello Italy	13	112 0.7×	60 0.4×	300 3.2×	56 0.7×	122 1.9×	80	566
Bahador Saket United States	11	327 2.0×	54 0.4×	151 1.6×	45 0.6×	36 0.6×	23	500
Paolo Petta Austria	9	62 0.4×	49 0.3×	181 1.9×	103 1.3×	119 1.8×	31	417
Anshul Vikram Pandey United States	10	309 1.9×	43 0.3×	152 1.6×	39 0.5×	41 0.6×	14	500
Amílcar Cardoso Portugal	13	210 1.3×	146 1.0×	199 2.1×	129 1.7×	32 0.5×	71	518
Alvitta Ottley United States	14	486 3.0×	78 0.5×	215 2.3×	77 1.0×	25 0.4×	37	725
Eli T. Brown United States	8	329 2.1×	70 0.5×	174 1.8×	18 0.2×	28 0.4×	18	518
Mark C. Detweiler United States	11	73 0.5×	107 0.7×	54 0.6×	88 1.1×	109 1.7×	20	445

Countries citing papers authored by Leslie M. Blaha

Since Specialization

Citations

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

Fields of papers citing papers by Leslie M. Blaha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie M. Blaha. 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 Leslie M. Blaha. The network helps show where Leslie M. Blaha may publish in the future.

Co-authorship network of co-authors of Leslie M. Blaha

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie M. Blaha. A scholar is included among the top collaborators of Leslie M. Blaha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie M. Blaha. Leslie M. Blaha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Blaha, Leslie M., Claire Bonial, Sangeet Khemlani, et al.. (2022). Understanding Is a Process. Frontiers in Systems Neuroscience. 16. 800280–800280. 3 indexed citations

Blaha, Leslie M., et al.. (2021). Practical Interpretation and Insights with Recurrence Quantification Analysis for Decision Making Research. eScholarship (California Digital Library). 43(43). 1 indexed citations

Lebière, Christian, et al.. (2021). Adaptive Cognitive Mechanisms to Maintain Calibrated Trust and Reliance in Automation. Frontiers in Robotics and AI. 8. 652776–652776. 19 indexed citations

Blaha, Leslie M., et al.. (2020). Exploring Dynamic Decision Making Strategies with Recurrence Quantification Analysis.. Cognitive Science. 1 indexed citations

Blaha, Leslie M.. (2019). We Have Not Looked at Our Results Until We Have Displayed Them Effectively: a Comment on Robust Modeling in Cognitive Science. Computational Brain & Behavior. 2(3-4). 247–250. 2 indexed citations

Fallon, Corey K., et al.. (2019). A Capacity Coefficient Method for Characterizing the Impacts of Automation Transparency on Workload Efficiency. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63(1). 827–832. 1 indexed citations

Houpt, Joseph W., et al.. (2017). Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model. Behavior Research Methods. 50(5). 2074–2096. 8 indexed citations

Wall, Emily, Leslie M. Blaha, Lyndsey Franklin, & Alex Endert. (2017). Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics. 104–115. 78 indexed citations

Schill, Marie, et al.. (2017). The effect of multispectral image fusion enhancement on human efficiency. Cognitive Research Principles and Implications. 2(1). 19–19. 3 indexed citations

10.

Wischgoll, Thomas, et al.. (2016). Parameter Space Visualization for Large-scale Datasets Using Parallel Coordinate Plots. Electronic Imaging. 28(1). 1–8. 2 indexed citations

11.

Walsh, Matthew M., et al.. (2015). ACT-R and LBA Model Mimicry Reveals Similarity Across Modeling Formalisms.. Cognitive Science. 1 indexed citations

12.

Arendt, Dustin & Leslie M. Blaha. (2015). Opinions, influence, and zealotry: a computational study on stubbornness. Computational and Mathematical Organization Theory. 21(2). 184–209. 19 indexed citations

13.

Menneer, Tamaryn, Michael J. Wenger, & Leslie M. Blaha. (2013). Probit analysis for multidimensional signal detection: An evaluation and comparison with standard analyses. Journal of Vision. 13(9). 107–107. 1 indexed citations

14.

Houpt, Joseph W., Leslie M. Blaha, John P. McIntire, Paul R. Havig, & James T. Townsend. (2013). Systems factorial technology with R. Behavior Research Methods. 46(2). 307–330. 69 indexed citations

15.

Blaha, Leslie M., et al.. (2011). Adaptation modulates the electrophysiological substrates of perceived facial distortion: Support for opponent coding. Journal of Vision. 11(11). 583–583. 2 indexed citations

16.

Blaha, Leslie M., et al.. (2010). Adaptation modulates the electrophysiological substrates of perceived facial distortion: Support for opponent coding. Neuropsychologia. 48(13). 3743–3756. 24 indexed citations

17.

Blaha, Leslie M. & James T. Townsend. (2010). Parts to wholes: Configural learning fundamentally changes the visual information processing system. Journal of Vision. 6(6). 675–675. 1 indexed citations

18.

Blaha, Leslie M. & James T. Townsend. (2010). A Hebbian-style dynamic systems model of configural learning. Journal of Vision. 8(6). 1126–1126. 3 indexed citations

19.

Blaha, Leslie M., Thomas A. Busey, & James T. Townsend. (2009). An LDA Approach to the Neural Correlates of Configural Learning. eScholarship (California Digital Library). 31(31). 7 indexed citations

20.

Johnson, Shannon A., Leslie M. Blaha, Joseph W. Houpt, & James T. Townsend. (2009). Systems Factorial Technology provides new insights on global–local information processing in autism spectrum disorders. Journal of Mathematical Psychology. 54(1). 53–72. 39 indexed citations

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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