Jonathan D. Rosenblatt

550 total citations
23 papers, 259 citations indexed

About

Jonathan D. Rosenblatt is a scholar working on Cognitive Neuroscience, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jonathan D. Rosenblatt has authored 23 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Environmental Engineering and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jonathan D. Rosenblatt's work include Functional Brain Connectivity Studies (4 papers), Air Quality and Health Impacts (3 papers) and Direction-of-Arrival Estimation Techniques (3 papers). Jonathan D. Rosenblatt is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Air Quality and Health Impacts (3 papers) and Direction-of-Arrival Estimation Techniques (3 papers). Jonathan D. Rosenblatt collaborates with scholars based in Israel, United States and Netherlands. Jonathan D. Rosenblatt's co-authors include Itai Kloog, Allan C. Just, Yoav Benjamini, Peter Michael Bak, Ian Hough, Victor Novack, Bin Zhou, Evyatar Erell, Nitzan Censor and Jelle J. Goeman and has published in prestigious journals such as Nature Neuroscience, NeuroImage and Current Biology.

In The Last Decade

Jonathan D. Rosenblatt

21 papers receiving 259 citations

Peers

Jonathan D. Rosenblatt

HTM

Glaura C. Franco Brazil

Philipp Otto Germany

Juyeon Heo South Korea

Andrea Tateo Italy

Olga Lucía Quintero Montoya Colombia

Hong Zheng China

Robert Maidstone United Kingdom

J. K. Ghorai United States

Maurice Abou Jaoude United States

Heinrich Werner Germany

Glaura C. Franco Brazil

Jonathan D. Rosenblatt

26 ×0.4

28 ×0.4

58 ×1.6

HTM

28 ×0.8

8 ×0.2

Citations per year, relative to Jonathan D. Rosenblatt Jonathan D. Rosenblatt (= 1×) peers Glaura C. Franco

Countries citing papers authored by Jonathan D. Rosenblatt

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan D. Rosenblatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Rosenblatt. 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 Jonathan D. Rosenblatt. The network helps show where Jonathan D. Rosenblatt may publish in the future.

Co-authorship network of co-authors of Jonathan D. Rosenblatt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Rosenblatt. A scholar is included among the top collaborators of Jonathan D. Rosenblatt 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 Jonathan D. Rosenblatt. Jonathan D. Rosenblatt 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

Meiran, Nachshon, et al.. (2025). Beyond Valence and Arousal: Distributed Facial Patterns Linked to Specific Emotions Cannot be Reduced to Core Affect. Affective Science. 6(4). 656–667. 1 indexed citations

Rosenblatt, Jonathan D., et al.. (2024). Geometry Design for DOA Estimation in Seismic 2D-Arrays: Simulation Study. IEEE Access. 12. 35827–35843.

Rosenblatt, Jonathan D., et al.. (2023). Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays. 1–7. 2 indexed citations

Rosenblatt, Jonathan D., et al.. (2022). A distinct route for efficient learning and generalization in autism. Current Biology. 32(14). 3203–3209.e3. 4 indexed citations

Kloog, Itai, et al.. (2022). Optimal-design domain-adaptation for exposure prediction in two-stage epidemiological studies. Journal of Exposure Science & Environmental Epidemiology. 33(6). 963–970. 3 indexed citations

Rosenblatt, Jonathan D., et al.. (2022). Effect of the User Input Method on Response Time and Accuracy in a Binary Data Labeling Task. International Journal of Human-Computer Interaction. 40(3). 850–858. 1 indexed citations

Zhou, Bin, Evyatar Erell, Ian Hough, et al.. (2020). Estimation of Hourly near Surface Air Temperature Across Israel Using an Ensemble Model. Remote Sensing. 12(11). 1741–1741. 22 indexed citations

Kloog, Itai, et al.. (2020). A Domain Adaptation Approach for Performance Estimation of Spatial Predictions. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5197–5205. 7 indexed citations

Kloog, Itai, et al.. (2019). Gaussian Markov Random Fields versus Linear Mixed Models for satellite-based PM2.5 assessment: Evidence from the Northeastern USA. Atmospheric Environment. 205. 30–35. 16 indexed citations

10.

Bak, Peter Michael, et al.. (2019). Multivariate anomaly detection for ensuring data quality of dendrometer sensor networks. Computers and Electronics in Agriculture. 162. 412–421. 29 indexed citations

11.

Rosenblatt, Jonathan D., Livio Finos, Wouter D. Weeda, Aldo Solari, & Jelle J. Goeman. (2018). All-Resolutions Inference for brain imaging. NeuroImage. 181. 786–796. 27 indexed citations

12.

Rosenblatt, Jonathan D., Ya’acov Ritov, & Jelle J. Goeman. (2018). Discussion of ‘Gene hunting with hidden Markov model knockoffs’. Biometrika. 106(1). 29–33. 4 indexed citations

13.

Rosenblatt, Jonathan D., et al.. (2017). Memory reactivation improves visual perception. Nature Neuroscience. 20(10). 1325–1328. 32 indexed citations

14.

Berchenko, Yakir, Jonathan D. Rosenblatt, & Simon D. W. Frost. (2017). Modeling and Analyzing Respondent-Driven Sampling as a Counting Process. Biometrics. 73(4). 1189–1198. 5 indexed citations

15.

Abu‐Hamad, Salah, et al.. (2017). Misfolded SOD1 Accumulation and Mitochondrial Association Contribute to the Selective Vulnerability of Motor Neurons in Familial ALS: Correlation to Human Disease. ACS Chemical Neuroscience. 8(10). 2225–2234. 22 indexed citations

16.

Rosenblatt, Jonathan D., et al.. (2016). Addressing the "problem" of temporal correlations in MVPA analysis. 1–4. 1 indexed citations

17.

Mukamel, Roy, et al.. (2015). Preconscious Prediction of a Driver's Decision Using Intracranial Recordings. Journal of Cognitive Neuroscience. 27(8). 1492–1502. 12 indexed citations

18.

Rosenblatt, Jonathan D. & Yoav Benjamini. (2014). Selective correlations; not voodoo. NeuroImage. 103. 401–410. 10 indexed citations

19.

Rosenblatt, Jonathan D., Matthijs Vink, & Yoav Benjamini. (2013). Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation. NeuroImage. 84. 113–121. 14 indexed citations

20.

Rosenblatt, Jonathan D., Jason L. Stein, Marina Bogomolov, Paul M. Thompson, & Yoav Benjamini. (2013). vGWAS revisited: a novel and powerful approach to voxelwise genome-wide association studies. 4.

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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