Leslie M. Blaha
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Co-authors
- Joseph W. HouptJames T. TownsendPaul R. HavigLyndsey FranklinAlex EndertEmily WallJohn P. McIntireDustin Arendt
- Topics
- Data Visualization and Analytics (8 papers)Human-Automation Interaction and Safety (5 papers)Face Recognition and Perception (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Leslie M. Blaha
32 papers receiving 423 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 160
- Cognitive Neuroscience 145
- Artificial Intelligence 95
- Experimental and Cognitive Psychology 78
- Social Psychology 65
Countries citing papers authored by Leslie M. Blaha
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Practical Interpretation and Insights with Recurrence Quantification Analysis for Decision Making Research | 1 |
| 3 | 19 | |
| 4 | Exploring Dynamic Decision Making Strategies with Recurrence Quantification Analysis. | 1 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 78 | |
| 11 | 2 | |
| 12 | ACT-R and LBA Model Mimicry Reveals Similarity Across Modeling Formalisms. | 1 |
| 13 | 1 | |
| 14 | 69 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | An LDA Approach to the Neural Correlates of Configural Learning | 7 |
| 20 | 39 |
About Leslie M. Blaha
Leslie M. Blaha is a scholar working on General Decision Sciences, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 34 papers that have together received 445 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Human-Automation Interaction and Safety (5 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in General Decision Sciences (23 citations), Computer Vision and Pattern Recognition (160 citations) and Cognitive Neuroscience (145 citations). Leslie M. Blaha has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Joseph W. Houpt, James T. Townsend, Paul R. Havig, Lyndsey Franklin, Alex Endert, Emily Wall, John P. McIntire, Dustin Arendt, Georges Grinstein and Robert Patterson. Their work appears in journals such as Neuropsychologia, Cognitive Science and Behavior Research Methods.
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.