Lester C. Loschky
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 0.5%
- Experimental and Cognitive Psychology top 2%
- Developmental and Educational Psychology top 5%
- Co-authors
- Adam M. LarsonGeorge W. McConkieJoseph P. MaglianoTim J. SmithEyal M. ReingoldGregory J. ZelinskyN. Sanjay RebelloGary S. Wolverton
- Topics
- Visual perception and processing mechanisms (45 papers)Visual Attention and Saliency Detection (38 papers)Gaze Tracking and Assistive Technology (17 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Lester C. Loschky
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 1.2k
- Computer Vision and Pattern Recognition 744
- Human-Computer Interaction 442
- Experimental and Cognitive Psychology 412
- Developmental and Educational Psychology 311
Countries citing papers authored by Lester C. Loschky
This map shows the geographic impact of Lester C. Loschky'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 Lester C. Loschky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lester C. Loschky more than expected).
Fields of papers citing papers by Lester C. Loschky
This network shows the impact of papers produced by Lester C. Loschky. 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 Lester C. Loschky. The network helps show where Lester C. Loschky may publish in the future.
Co-authorship network of co-authors of Lester C. Loschky
This figure shows the co-authorship network connecting the top 25 collaborators of Lester C. Loschky. A scholar is included among the top collaborators of Lester C. Loschky 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 Lester C. Loschky. Lester C. Loschky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 29 | |
| 5 | The cognitive systems of visual and multimodal narratives. | 1 |
| 6 | 19 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 38 | |
| 17 | 61 | |
| 18 | 32 | |
| 19 | 35 | |
| 20 | Some Things That Pictures Are Good For: An Information Processing Perspective | 2 |
About Lester C. Loschky
Lester C. Loschky is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (45 papers), Visual Attention and Saliency Detection (38 papers) and Gaze Tracking and Assistive Technology (17 papers). The work is most often cited by research in Human-Computer Interaction (442 citations), Cognitive Neuroscience (1.2k citations) and Computer Vision and Pattern Recognition (744 citations). Lester C. Loschky has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Adam M. Larson, George W. McConkie, Joseph P. Magliano, Tim J. Smith, Eyal M. Reingold, Gregory J. Zelinsky, N. Sanjay Rebello, Gary S. Wolverton, Bruce C. Hansen and Adrian Madsen. Their work appears in journals such as PLoS ONE, NeuroImage and Journal of Educational Psychology.
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.