Hamutal Slovin

4.2k total citations · 2 hit papers
37 papers, 2.8k citations indexed

About

Hamutal Slovin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Hamutal Slovin has authored 37 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Hamutal Slovin's work include Neural dynamics and brain function (27 papers), Visual perception and processing mechanisms (17 papers) and Neuroscience and Neural Engineering (7 papers). Hamutal Slovin is often cited by papers focused on Neural dynamics and brain function (27 papers), Visual perception and processing mechanisms (17 papers) and Neuroscience and Neural Engineering (7 papers). Hamutal Slovin collaborates with scholars based in Israel, United States and Germany. Hamutal Slovin's co-authors include Hagai Bergman, Eilon Vaadia, Asaph Nini, Amiram Grinvald, Amos Arieli, Yifat Prut, Moshe Abeles, Micha Abeles, Ad Aertsen and Aeyal Raz and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Hamutal Slovin

34 papers receiving 2.8k citations

Hit Papers

Dynamics of neuronal interactions in monkey cortex in rel... 1995 2026 2005 2015 1995 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamutal Slovin Israel 18 1.9k 1.7k 833 208 184 37 2.8k
Piotr J. Franaszczuk United States 27 2.5k 1.3× 767 0.5× 153 0.2× 144 0.7× 128 0.7× 82 2.9k
Naotaka Fujii Japan 31 2.3k 1.2× 840 0.5× 355 0.4× 57 0.3× 151 0.8× 57 2.9k
Lionel G. Nowak France 24 2.7k 1.4× 2.2k 1.3× 300 0.4× 196 0.9× 54 0.3× 41 3.5k
Costas A. Anastassiou United States 19 3.8k 2.0× 2.9k 1.8× 296 0.4× 164 0.8× 107 0.6× 33 4.8k
Gonzalo Alarcón United Kingdom 35 2.4k 1.2× 1.5k 0.9× 678 0.8× 51 0.2× 288 1.6× 100 3.5k
Yifat Prut Israel 24 1.8k 0.9× 873 0.5× 187 0.2× 200 1.0× 34 0.2× 43 2.1k
Arvind Kumar Germany 22 1.4k 0.7× 1.1k 0.6× 240 0.3× 298 1.4× 27 0.1× 72 1.8k
Matt Stead United States 30 1.8k 1.0× 1.3k 0.8× 611 0.7× 36 0.2× 104 0.6× 56 2.6k
Keith P. Purpura United States 24 2.5k 1.3× 1.1k 0.7× 121 0.1× 252 1.2× 82 0.4× 49 3.0k
Alan D. Dorval United States 20 729 0.4× 1.1k 0.7× 813 1.0× 178 0.9× 36 0.2× 43 1.5k

Countries citing papers authored by Hamutal Slovin

Since Specialization
Citations

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

Fields of papers citing papers by Hamutal Slovin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamutal Slovin

This figure shows the co-authorship network connecting the top 25 collaborators of Hamutal Slovin. A scholar is included among the top collaborators of Hamutal Slovin 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 Hamutal Slovin. Hamutal Slovin 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.
Slovin, Hamutal, et al.. (2025). Pre-microsaccadic Modulation in Foveal V1: Enhancement in the Current and Future Stimulus Locations. Journal of Neuroscience. 45(30). e2448242025–e2448242025.
2.
Slovin, Hamutal, et al.. (2025). The Effect of Microsaccades in the Primary Visual Cortex: Increased Synchronization in the Fovea during a Two-Phase Response Modulation. Journal of Neuroscience. 45(14). e1547242025–e1547242025. 1 indexed citations
4.
Slovin, Hamutal, et al.. (2022). Microstimulation in the primary visual cortex: activity patterns and their relation to visual responses and evoked saccades. Cerebral Cortex. 33(9). 5192–5209. 2 indexed citations
5.
Raz, Aeyal, et al.. (2022). Spatiotemporal patterns of population response in the visual cortex under isoflurane: from wakefulness to loss of consciousness. Cerebral Cortex. 32(24). 5512–5529. 2 indexed citations
6.
Slovin, Hamutal, et al.. (2022). Computational modeling of color perception with biologically plausible spiking neural networks. PLoS Computational Biology. 18(10). e1010648–e1010648. 3 indexed citations
7.
Macknik, Stephen L., Robert G. Alexander, Kristina J. Nielsen, et al.. (2019). Advanced Circuit and Cellular Imaging Methods in Nonhuman Primates. Journal of Neuroscience. 39(42). 8267–8274. 17 indexed citations
8.
Slovin, Hamutal, et al.. (2018). Spatio-temporal characteristics of population responses evoked by microstimulation in the barrel cortex. Scientific Reports. 8(1). 13913–13913. 9 indexed citations
9.
Gilad, Ariel, et al.. (2016). Uncovering the Spatial Profile of Contour Integration from Fixational Saccades: Evidence for Widespread Processing in V1. Cerebral Cortex. 27(11). 5261–5273. 5 indexed citations
10.
Gilad, Ariel & Hamutal Slovin. (2015). Population Responses in V1 Encode Different Figures by Response Amplitude. Journal of Neuroscience. 35(16). 6335–6349. 11 indexed citations
11.
Slovin, Hamutal, et al.. (2015). Reconstruction of shape contours from V1 activity at high resolution. NeuroImage. 125. 1005–1012. 8 indexed citations
12.
Gilad, Ariel, et al.. (2014). Figure-Ground Processing during Fixational Saccades in V1: Indication for Higher-Order Stability. Journal of Neuroscience. 34(9). 3247–3252. 12 indexed citations
13.
Hohmann, Martin, et al.. (2013). In vivo minimally invasive interstitial multi-functional microendoscopy. Scientific Reports. 3(1). 1805–1805. 7 indexed citations
14.
Gilad, Ariel, et al.. (2012). Collinear Stimuli Induce Local and Cross-Areal Coherence in the Visual Cortex of Behaving Monkeys. PLoS ONE. 7(11). e49391–e49391. 10 indexed citations
15.
Ayzenshtat, Inbal, et al.. (2012). Population Response to Natural Images in the Primary Visual Cortex Encodes Local Stimulus Attributes and Perceptual Processing. Journal of Neuroscience. 32(40). 13971–13986. 24 indexed citations
16.
Ayzenshtat, Inbal, et al.. (2011). Spatiotemporal Effects of Microsaccades on Population Activity in the Visual Cortex of Monkeys during Fixation. Cerebral Cortex. 22(2). 294–307. 27 indexed citations
17.
Ayzenshtat, Inbal, et al.. (2010). Precise Spatiotemporal Patterns among Visual Cortical Areas and Their Relation to Visual Stimulus Processing. Journal of Neuroscience. 30(33). 11232–11245. 52 indexed citations
18.
Vanzetta, Ivo, Hamutal Slovin, David B. Omer, & Amiram Grinvald. (2004). Columnar Resolution of Blood Volume and Oximetry Functional Maps in the Behaving Monkey. Neuron. 42(5). 843–854. 76 indexed citations
19.
Arieli, Amos, Amiram Grinvald, & Hamutal Slovin. (2002). Dural substitute for long-term imaging of cortical activity in behaving monkeys and its clinical implications. Journal of Neuroscience Methods. 114(2). 119–133. 113 indexed citations
20.
Vaadia, Eilon, Micha Abeles, Hagai Bergman, et al.. (1995). Dynamics of neuronal interactions in monkey cortex in relation to behavioural events. Nature. 373(6514). 515–518. 587 indexed citations breakdown →

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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