Nathan Intrator

6.8k citations
135 papers · 4.5k indexed · 2 hit papers · h-index 36

Nathan Intrator

133 papers receiving 4.3k citations

Hit Papers

Free water elimination and mapping from diffusion...7311996202620062016200400600

Peers

Nathan Intrator
Comparison fields: 5 of 187
  • Cognitive Neuroscience 1.2k
  • Computational Mathematics 28
  • Developmental Biology 89
  • Computer Vision and Pattern Recognition 696
  • Artificial Intelligence 1.0k
Replace Sridhar Krishnan with:
Sridhar Krishnan Canada
Alexander Kraskov United Kingdom
Tom Heskes Netherlands
Mark Harris United States
Alain Rakotomamonjy France
David H. Laidlaw United States
Moo K. Chung United States
Lucas C. Parra United States
Vittorio Murino Italy
Yalin Wang United States
Nathan Intrator relative to Sridhar Krishnan Canada Sridhar Krishnan's profile →
Citations per field
00.5×1.5×
Sridhar Krishnan · 1×
Citations per year

Countries citing papers authored by Nathan Intrator

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Intrator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nathan Intrator, 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 Nathan Intrator Line = papers co-authored together Nathan Intrator links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 202215
3 201843
4 20175
5 201448
6 20121
7 20123
8 20120
9 201214
10 201118
11 200929
12
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI
20052
13 200549
14
A Productive, Systematic Framework for the Representation of Visual Structure
20009
15
Information theory and visual plasticity
19981
16
BCM theory of visual cortical plasticity
19982
17
On the Use of Projection Pursuit Constraints for Training Neural Networks
19923
18
3D Object Recognition Using Unsupervised Feature Extraction
19912
19
Exploratory Feature Extraction in Speech Signals
19903
20 198874

About Nathan Intrator

Nathan Intrator is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 135 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (28 papers), Neural Networks and Applications (28 papers), EEG and Brain-Computer Interfaces (16 papers), Functional Brain Connectivity Studies (15 papers), Face and Expression Recognition (12 papers), Visual perception and processing mechanisms (12 papers), Underwater Acoustics Research (11 papers) and Phonocardiography and Auscultation Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Computational Mathematics (28 citations) and Developmental Biology (89 citations). Nathan Intrator has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Leon N. Cooper, M.H. Hassoun, Wolfgang Christian, Susan R. McKay, Yaniv Assaf, Ofer Pasternak, Nir Sochen, Yaniv Gur, D. Horn and Ury Naftaly. Their work appears in journals such as Neural Computation, Network Computation in Neural Systems, The Journal of the Acoustical Society of America, Connection Science and NeuroImage.

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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