Nathan Intrator

6.8k total citations · 2 hit papers
135 papers, 4.5k citations indexed

About

Nathan Intrator is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Intrator has authored 135 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 40 papers in Artificial Intelligence and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Intrator's work include Neural dynamics and brain function (28 papers), Neural Networks and Applications (28 papers) and EEG and Brain-Computer Interfaces (16 papers). Nathan Intrator is often cited by papers focused on Neural dynamics and brain function (28 papers), Neural Networks and Applications (28 papers) and EEG and Brain-Computer Interfaces (16 papers). Nathan Intrator collaborates with scholars based in Israel, United States and Italy. Nathan Intrator's co-authors include Leon N. Cooper, M.H. Hassoun, Wolfgang Christian, Susan R. McKay, Ofer Pasternak, Nir Sochen, Yaniv Assaf, Yaniv Gur, Ury Naftaly and D. Horn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Nathan Intrator

133 papers receiving 4.3k citations

Hit Papers

Free water elimination and mapping from diffusion... 1996 2026 2006 2016 2009 1996 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Intrator Israel 36 1.2k 1.0k 696 673 324 135 4.5k
Manuel Graña Spain 31 780 0.7× 1.6k 1.5× 971 1.4× 629 0.9× 212 0.7× 304 4.7k
Francesco Carlo Morabito Italy 44 2.3k 2.0× 860 0.8× 523 0.8× 263 0.4× 914 2.8× 276 6.4k
Malek Adjouadi United States 31 1.2k 1.0× 399 0.4× 665 1.0× 407 0.6× 365 1.1× 263 3.0k
İnan Güler Türkiye 32 1.8k 1.5× 1.1k 1.1× 720 1.0× 302 0.4× 1.2k 3.8× 157 4.3k
Tom Heskes Netherlands 37 867 0.7× 1.7k 1.6× 548 0.8× 282 0.4× 317 1.0× 230 5.9k
Yingchun Zhang China 37 2.1k 1.8× 367 0.4× 225 0.3× 719 1.1× 276 0.9× 350 4.8k
Türker Tuncer Türkiye 37 1.4k 1.2× 864 0.8× 670 1.0× 499 0.7× 710 2.2× 184 3.9k
Hamid Soltanian‐Zadeh Iran 41 1.4k 1.2× 1.3k 1.2× 2.4k 3.4× 2.3k 3.4× 459 1.4× 456 7.3k
Conor Heneghan Ireland 33 1.2k 1.0× 269 0.3× 369 0.5× 489 0.7× 243 0.8× 114 4.2k

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 of co-authors of Nathan Intrator

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Intrator. A scholar is included among the top collaborators of Nathan Intrator 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 Nathan Intrator. Nathan Intrator is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Intrator, Nathan, et al.. (2023). Evaluation of Parkinson’s disease early diagnosis using single-channel EEG features and auditory cognitive assessment. Frontiers in Neurology. 14. 1273458–1273458. 2 indexed citations
2.
Intrator, Nathan, et al.. (2020). Postural control in karate practitioners: Does practice make perfect?. Gait & Posture. 77. 218–224. 14 indexed citations
3.
Fogelson, Noa, et al.. (2015). Schizophrenia Detection and Classification by Advanced Analysis of EEG Recordings Using a Single Electrode Approach. PLoS ONE. 10(4). e0123033–e0123033. 83 indexed citations
4.
Grossman, Zehava, et al.. (2012). Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. Journal of Computational Biology. 19(5). 504–518.
5.
Bickel, Amitai, et al.. (2012). The Use of Pneumoperitoneum During Laparoscopic Surgery as a Model to Study Pathophysiologic Phenomena: The Correlation of Cardiac Functionality with Computerized Acoustic Indices—Preliminary Data. Journal of Laparoendoscopic & Advanced Surgical Techniques. 22(4). 349–354. 3 indexed citations
6.
Cannon, Rex, Sivan Kinreich, Ilana Podlipsky, et al.. (2012). Selected Abstracts of Conference Presentations at the 2012 International Society for Neurofeedback and Research (ISNR) 20th ISNR Conference, Orlando, Florida. Journal of Neurotherapy. 16(4). 295–315. 1 indexed citations
7.
Kinreich, Sivan, Nathan Intrator, & Talma Hendler. (2011). Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing. Brain Connectivity. 1(6). 484–495. 18 indexed citations
8.
Yovel, Galit, et al.. (2011). Using unsupervised incremental learning to cope with gradual concept drift. Connection Science. 23(1). 65–83. 6 indexed citations
9.
Amit, Guy, Jonathan Lessick, Noam Gavriely, & Nathan Intrator. (2008). ACOUSTIC INDICES OF CARDIAC FUNCTIONALITY. 77–83. 5 indexed citations
10.
Amit, Guy, Noam Gavriely, & Nathan Intrator. (2006). AUTOMATIC SEGMENTATION OF HEART SIGNALS. 1 indexed citations
11.
Pasternak, Ofer, Nathan Intrator, Nir Sochen, & Yaniv Assaf. (2005). Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. Neural Information Processing Systems. 18. 1075–1080. 2 indexed citations
12.
Neretti, Nicola, et al.. (2005). Acoustic camera image mosaicing and super-resolution. 2. 653–658. 8 indexed citations
13.
Intrator, Nathan, et al.. (2004). A SPECIAL SKELETONIZATION ALGORITHM FOR CURSIVE WORDS. Data Archiving and Networked Services (DANS). 9 indexed citations
14.
Edelman, Shimon & Nathan Intrator. (2000). A Productive, Systematic Framework for the Representation of Visual Structure. Neural Information Processing Systems. 13. 10–16. 9 indexed citations
15.
Intrator, Nathan & Leon N. Cooper. (1998). BCM theory of visual cortical plasticity. MIT Press eBooks. 153–157. 2 indexed citations
16.
Intrator, Nathan & Leon N. Cooper. (1998). Information theory and visual plasticity. MIT Press eBooks. 484–487. 1 indexed citations
17.
Blais, Brian S., Nathan Intrator, Harel Z. Shouval, & Leon N. Cooper. (1998). Receptive Field Formation in Natural Scene Environments: Comparison of Single-Cell Learning Rules. Neural Computation. 10(7). 1797–1813. 42 indexed citations
18.
Intrator, Nathan. (1992). On the Use of Projection Pursuit Constraints for Training Neural Networks. Neural Information Processing Systems. 3–10. 3 indexed citations
19.
Intrator, Nathan, Joshua I. Gold, HH Bülthoff, & Shimon Edelman. (1991). 3D Object Recognition Using Unsupervised Feature Extraction. MPG.PuRe (Max Planck Society). 4. 460–467. 2 indexed citations
20.
Intrator, Nathan. (1990). Exploratory Feature Extraction in Speech Signals. Neural Information Processing Systems. 3. 241–247. 3 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.

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