Alex Frid

438 total citations
23 papers, 261 citations indexed

About

Alex Frid is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Alex Frid has authored 23 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Alex Frid's work include EEG and Brain-Computer Interfaces (9 papers), Speech and Audio Processing (4 papers) and Reading and Literacy Development (4 papers). Alex Frid is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Speech and Audio Processing (4 papers) and Reading and Literacy Development (4 papers). Alex Frid collaborates with scholars based in Israel, Germany and United States. Alex Frid's co-authors include Larry M. Manevitz, Zvia Breznitz, Yizhar Lavner, Dan Feldman, Hananel Hazan, David Yarnitsky, Yelena Granovsky, Shimon Sapir, Lorraine O. Ramig and Simon A. Levin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Biomedical Engineering and European Journal of Neurology.

In The Last Decade

Alex Frid

22 papers receiving 258 citations

Peers

Alex Frid

CN

PHYSI

AI

NEURO

SP

Aitzol Ezeiza Spain

Vivien Marmelat United States

Tomasz Maszczyk Singapore

Edward Jacek Gorzelańczyk Poland

Viktoria Maier United Kingdom

Vojtěch Zvončák Czechia

Momina Moetesum Pakistan

Lucas R. Trambaiolli Brazil

Eric Müller-Budack Germany

Aitzol Ezeiza Spain

Alex Frid

79 ×0.7

CN

65 ×1.0

PHYSI

168 ×3.1

AI

13 ×0.3

NEURO

59 ×1.7

SP

Citations per year, relative to Alex Frid Alex Frid (= 1×) peers Aitzol Ezeiza

Countries citing papers authored by Alex Frid

Since Specialization

Citations

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

Fields of papers citing papers by Alex Frid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Frid

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

All Works

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20 of 20 papers shown

1.

Frid, Alex, et al.. (2025). Cloud characterization by computed tomography methods using a satellite formation of 10 small satellites for improved climate prediction. Acta Astronautica. 236. 251–262.

2.

Frid, Alex, Yelena Granovsky, Mogher Khamaisi, et al.. (2022). Electroencephalography functional connectivity—A biomarker for painful polyneuropathy. European Journal of Neurology. 30(1). 204–214. 10 indexed citations

3.

Frid, Alex & Larry M. Manevitz. (2020). Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. 1–8. 4 indexed citations

4.

Frid, Alex, et al.. (2020). Real-time EEG classification via coresets for BCI applications. Engineering Applications of Artificial Intelligence. 89. 103455–103455. 23 indexed citations

5.

Frid, Alex, et al.. (2020). Detecting Cyber-Physical Attacks in Water Distribution Systems: One-Class Classifier Approach. Journal of Water Resources Planning and Management. 146(8). 10 indexed citations

6.

Frid, Alex, et al.. (2019). A Biomarker for Discriminating Between Migraine With and Without Aura: Machine Learning on Functional Connectivity on Resting-State EEGs. Annals of Biomedical Engineering. 48(1). 403–412. 31 indexed citations

7.

Frid, Alex, et al.. (2019). Multi-Class Classification in Parkinson’s Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. 1–9. 3 indexed citations

8.

Frid, Alex & Larry M. Manevitz. (2019). Analyzing cognitive processes from complex neuro-physiologically based data: some lessons. Annals of Mathematics and Artificial Intelligence. 88(11-12). 1125–1153. 4 indexed citations

9.

Frid, Alex, et al.. (2018). Kohonen-Based Topological Clustering as an Amplifier for Multi-Class Classification for Parkinson’s Disease. 2. 1–5. 2 indexed citations

10.

Frid, Alex, et al.. (2016). Diagnosis of Parkinson's disease from continuous speech using deep convolutional networks without manual selection of features. 1–4. 31 indexed citations

11.

Bitan, Tali, et al.. (2016). Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. 4637–4642. 3 indexed citations

12.

Frid, Alex, et al.. (2015). Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory. 114–121. 1 indexed citations

13.

Frid, Alex & Yizhar Lavner. (2014). Spectral and textural features for automatic classification of fricatives using SVM. International Conference on Systems, Signals and Image Processing. 99–102. 1 indexed citations

14.

Frid, Alex. (2014). Differences in phase synchrony of brain regions between regular and dyslexic readers. 1–4. 8 indexed citations

15.

Frid, Alex, et al.. (2014). Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques. 50–53. 37 indexed citations

16.

Frid, Alex & Yizhar Lavner. (2014). Spectral and textural features for automatic classification of fricatives. 9. 1–4. 1 indexed citations

17.

Frid, Alex & Zvia Breznitz. (2012). An SVM based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs. 1–4. 26 indexed citations

18.

Frid, Alex, Yizhar Lavner, & Israel Rabinowitz. (2012). Analysis of finger tapping parameters in people with ADHD. 31. 1–4. 3 indexed citations

19.

Frid, Alex, Hananel Hazan, & Larry M. Manevitz. (2012). Temporal pattern recognition via temporal networks of temporal neurons. 2. 1–4. 3 indexed citations

20.

Frid, Alex & Yizhar Lavner. (2010). Acoustic-phonetic analysis of fricatives for classification using SVM based algorithm. 79. 751–755. 11 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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