Idan Tal

685 total citations
10 papers, 345 citations indexed

About

Idan Tal is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Idan Tal has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Signal Processing. Recurrent topics in Idan Tal's work include Neural dynamics and brain function (7 papers), Neuroscience and Music Perception (6 papers) and EEG and Brain-Computer Interfaces (3 papers). Idan Tal is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Music Perception (6 papers) and EEG and Brain-Computer Interfaces (3 papers). Idan Tal collaborates with scholars based in Israel, United States and Hungary. Idan Tal's co-authors include Micha Abeles, Charles M. Schroeder, Edward W. Large, David Poeppel, Elana Zion Golumbic, Annamaria Barczak, Charles E. Schroeder, Lucía Melloni, Saskia Haegens and Yoshinao Kajikawa and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Idan Tal

10 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Idan Tal Israel	8	315	46	45	40	29	10	345
Matthias Schultze-Kraft Germany	8	304 1.0×	26 0.6×	68 1.5×	48 1.2×	19 0.7×	8	349
Rasa Gulbinaite Netherlands	10	504 1.6×	61 1.3×	67 1.5×	31 0.8×	20 0.7×	16	538
Joachim Haß Germany	12	234 0.7×	45 1.0×	42 0.9×	52 1.3×	14 0.5×	22	289
Corrie R. Camalier United States	9	297 0.9×	59 1.3×	37 0.8×	19 0.5×	10 0.3×	15	367
Yousra Bekhti France	3	302 1.0×	31 0.7×	26 0.6×	19 0.5×	52 1.8×	5	351
Orr Tomer Israel	4	591 1.9×	39 0.8×	123 2.7×	21 0.5×	19 0.7×	7	634
Vahe Poghosyan Japan	12	441 1.4×	49 1.1×	36 0.8×	13 0.3×	23 0.8×	21	489
Béla Weiss Hungary	12	255 0.8×	30 0.7×	36 0.8×	19 0.5×	14 0.5×	30	341
Giulia Ricci Italy	8	248 0.8×	46 1.0×	30 0.7×	46 1.1×	5 0.2×	13	322

Countries citing papers authored by Idan Tal

Since Specialization

Citations

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

Fields of papers citing papers by Idan Tal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idan Tal

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

All Works

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10 of 10 papers shown

1.

Neymotin, Samuel A., Idan Tal, Annamaria Barczak, et al.. (2022). Detecting Spontaneous Neural Oscillation Events in Primate Auditory Cortex. eNeuro. 9(4). ENEURO.0281–21.2022. 15 indexed citations

2.

Leszczyński, Marcin, Annamaria Barczak, Yoshinao Kajikawa, et al.. (2020). Dissociation of broadband high-frequency activity and neuronal firing in the neocortex. Science Advances. 6(33). eabb0977–eabb0977. 97 indexed citations

3.

Tal, Idan, Samuel A. Neymotin, Stephan Bickel, Péter Lakatos, & Charles M. Schroeder. (2020). Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding. Frontiers in Computational Neuroscience. 14. 82–82. 23 indexed citations

4.

Leszczyński, Marcin, Annamaria Barczak, Yoshinao Kajikawa, et al.. (2019). Dissociation of Broadband High-Frequency Activity and Neuronal Firing in the Neocortex. SSRN Electronic Journal. 2 indexed citations

5.

Tal, Idan & Micha Abeles. (2018). Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution. Neural Computation. 30(3). 610–630. 8 indexed citations

6.

Tal, Idan, et al.. (2017). Neural Entrainment to the Beat: The “Missing-Pulse” Phenomenon. Journal of Neuroscience. 37(26). 6331–6341. 98 indexed citations

7.

Tal, Idan, et al.. (2016). White matter microstructural properties correlate with sensorimotor synchronization abilities. NeuroImage. 138. 1–12. 25 indexed citations

8.

Granot, Roni, et al.. (2016). Brain responses to regular and octave-scrambled melodies: A case of predictive-coding?. Journal of Experimental Psychology Human Perception & Performance. 43(3). 487–498. 3 indexed citations

9.

Tal, Idan & Moshe Abeles. (2016). Temporal accuracy of human cortico-cortical interactions. Journal of Neurophysiology. 115(4). 1810–1820. 9 indexed citations

10.

Tal, Idan & Micha Abeles. (2013). Cleaning MEG artifacts using external cues. Journal of Neuroscience Methods. 217(1-2). 31–38. 65 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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