Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Eli Peli'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 Eli Peli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Peli more than expected).
This network shows the impact of papers produced by Eli Peli. 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 Eli Peli. The network helps show where Eli Peli may publish in the future.
Co-authorship network of co-authors of Eli Peli
This figure shows the co-authorship network connecting the top 25 collaborators of Eli Peli.
A scholar is included among the top collaborators of Eli Peli 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 Eli Peli. Eli Peli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Qiu, Cheng, et al.. (2018). Measuring the Effects of Prisms on Pedestrian Collision Detection with Peripheral Field Loss. Translational Vision Science & Technology. 7(5).1 indexed citations
6.
Dilks, Daniel D., Joshua B. Julian, Eli Peli, & Nancy Kanwisher. (2014). Reorganization of Visual Processing in Age-Related Macular Degeneration Depends on Foveal Loss. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
7.
Goldstein, Robert B., et al.. (2014). Peripheral prisms and training improve detection of pedestrians by drivers with hemianopia. Investigative Ophthalmology & Visual Science. 55(13). 2155–2155.3 indexed citations
8.
Peli, Eli. (2014). Multiplexing Prism: A novel optical element for visual field expansion. Investigative Ophthalmology & Visual Science. 55(13). 4128–4128.1 indexed citations
9.
Houston, Kevin, et al.. (2013). Perceptual-motor adaptation in hemianopes wearing peripheral prisms is possible: Preliminary results. Investigative Ophthalmology & Visual Science. 54(15). 2759–2759.1 indexed citations
Satgunam, PremNandhini, Russell L. Woods, P. Matthew Bronstad, & Eli Peli. (2010). 8.2: Factors Affecting Image Quality Preferences. SID Symposium Digest of Technical Papers. 41(1). 94–97.7 indexed citations
13.
Vera‐Díaz, Fuensanta A. & Eli Peli. (2009). Adaptation to Image Blur in the Peripheral Field of Normally-Sighted Observers and Patients With Central Field Loss - 2. Investigative Ophthalmology & Visual Science. 50(13). 3047–3047.2 indexed citations
14.
Peli, Eli, et al.. (2008). Driving with Hemianopia: Head Scanning and Detection Performance in a Simulator. Investigative Ophthalmology & Visual Science. 49(13). 4105–4105.1 indexed citations
Peli, Eli, et al.. (2004). Wide–Band Enhancement of TV Images For The Visually Impaired. Investigative Ophthalmology & Visual Science. 45(13). 4355–4355.2 indexed citations
19.
Woods, Russell L., et al.. (2003). Lateral Interactions in Peripheral Vision. Investigative Ophthalmology & Visual Science. 44(13). 4092–4092.1 indexed citations
20.
Luo, Gang, et al.. (2003). Functionally Relevant Illumination Levels for Evaluation of a New Night Vision Device. Investigative Ophthalmology & Visual Science. 44(13). 2772–2772.1 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.