Avi Aizenman

516 citations
26 papers · 350 · h-index 10

Impact in

Papers in

Avi Aizenman

24 papers receiving 341 citations

Peers

Avi Aizenman
Comparison fields: 5 of 76
  • Family Practice 38
  • Cognitive Neuroscience 163
  • Human-Computer Interaction 44
  • Experimental and Cognitive Psychology 52
  • Radiology, Nuclear Medicine and Imaging 92
Replace Robert G. Alexander with:
Robert G. Alexander United States
Stephen H. Adamo United States
G. J. Zelinsky United States
Sage Boettcher United Kingdom
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Jochim Spitz Belgium
Nora Castner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Avi Aizenman

Since Specialization
Citations

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

Fields of papers citing papers by Avi Aizenman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avi Aizenman. 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 Avi Aizenman. The network helps show where Avi Aizenman may publish in the future.

Co-authors

The 25 scholars most cited alongside Avi Aizenman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Avi Aizenman Line = papers co-authored together Avi Aizenman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201552
3 201636
4 201931
5 201330
6 202225
7 201724
8 201722
9 201620
10 201315
11 20248
12 20158
13 20177
14 20234
15 20213
16 20242
17 20222
18 20141
19 20131
20 20251

About Avi Aizenman

Avi Aizenman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Social Psychology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 350 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Multisensory perception and integration (6 papers), Radiology practices and education (5 papers), Digital Radiography and Breast Imaging (4 papers), Visual Attention and Saliency Detection (3 papers), Color perception and design (3 papers), AI in cancer detection (3 papers) and Ophthalmology and Visual Impairment Studies (3 papers). The work is most often cited by research in Family Practice (38 citations), Cognitive Neuroscience (163 citations), Human-Computer Interaction (44 citations), Experimental and Cognitive Psychology (52 citations) and Radiology, Nuclear Medicine and Imaging (92 citations). Avi Aizenman has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jeremy M. Wolfe, Melissa L.‐H. Võ, Trafton Drew, Matthew S. Cain, Karla K. Evans, Sage Boettcher, Dennis M. Levi, Ellen M. Kok, Jason M. Gold and Eric D. Leshikar. Their work appears in journals such as Journal of Vision, Vision Research, ACM Transactions on Graphics, Optics Express and Attention Perception & Psychophysics.

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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