Alejandro Vicente-Grabovetsky

560 total citations
7 papers, 337 citations indexed

About

Alejandro Vicente-Grabovetsky is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Alejandro Vicente-Grabovetsky has authored 7 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 1 paper in Molecular Biology. Recurrent topics in Alejandro Vicente-Grabovetsky's work include Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Functional Brain Connectivity Studies (2 papers). Alejandro Vicente-Grabovetsky is often cited by papers focused on Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Functional Brain Connectivity Studies (2 papers). Alejandro Vicente-Grabovetsky collaborates with scholars based in United Kingdom, Netherlands and Canada. Alejandro Vicente-Grabovetsky's co-authors include Rhodri Cusack, Annika C. Linke, Christian F. Doeller, Branka Milivojevic, Daniel J. Mitchell, Jonathan E. Peelle, Tibor Auer, Conor J. Wild, Kevin G. Munhall and Tobias Navarro Schröder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Current Biology.

In The Last Decade

Alejandro Vicente-Grabovetsky

7 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Vicente-Grabovetsky United Kingdom 7 313 56 54 30 23 7 337
Avinash R. Vaidya United States 11 330 1.1× 39 0.7× 70 1.3× 26 0.9× 16 0.7× 14 404
Wayne E. Mackey United States 9 269 0.9× 28 0.5× 33 0.6× 26 0.9× 22 1.0× 14 315
Callum Dewar United States 6 439 1.4× 56 1.0× 68 1.3× 37 1.2× 20 0.9× 14 488
Dillan Cellier United States 6 342 1.1× 38 0.7× 42 0.8× 21 0.7× 32 1.4× 7 372
Jared F. Danker United States 8 467 1.5× 66 1.2× 66 1.2× 71 2.4× 13 0.6× 11 540
Eda Mızrak Switzerland 9 190 0.6× 25 0.4× 34 0.6× 25 0.8× 20 0.9× 16 233
Kinjan Parikh United States 3 385 1.2× 45 0.8× 76 1.4× 31 1.0× 6 0.3× 4 454
Son Preminger Israel 9 318 1.0× 31 0.6× 84 1.6× 21 0.7× 14 0.6× 10 369
Wen‐Jing Lin United Kingdom 5 250 0.8× 64 1.1× 45 0.8× 59 2.0× 9 0.4× 6 311
Markus Raabe Germany 8 387 1.2× 34 0.6× 60 1.1× 44 1.5× 57 2.5× 10 415

Countries citing papers authored by Alejandro Vicente-Grabovetsky

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Vicente-Grabovetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Vicente-Grabovetsky. 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 Alejandro Vicente-Grabovetsky. The network helps show where Alejandro Vicente-Grabovetsky may publish in the future.

Co-authorship network of co-authors of Alejandro Vicente-Grabovetsky

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

All Works

7 of 7 papers shown
1.
Vicente-Grabovetsky, Alejandro, Caswell Barry, P.G.W. Smulders, et al.. (2016). Hippocampal Attractor Dynamics Predict Memory-Based Decision Making. Current Biology. 26(13). 1750–1757. 25 indexed citations
2.
Cusack, Rhodri, Alejandro Vicente-Grabovetsky, Daniel J. Mitchell, et al.. (2015). Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics. 8. 90–90. 91 indexed citations
3.
Milivojevic, Branka, Alejandro Vicente-Grabovetsky, & Christian F. Doeller. (2015). Insight Reconfigures Hippocampal-Prefrontal Memories. Current Biology. 25(7). 821–830. 87 indexed citations
4.
Zheng, Zane, Alejandro Vicente-Grabovetsky, Ewen MacDonald, et al.. (2013). Multivoxel Patterns Reveal Functionally Differentiated Networks Underlying Auditory Feedback Processing of Speech. Journal of Neuroscience. 33(10). 4339–4348. 22 indexed citations
5.
Vicente-Grabovetsky, Alejandro, Johan D. Carlin, & Rhodri Cusack. (2012). Strength of Retinotopic Representation of Visual Memories is Modulated by Strategy. Cerebral Cortex. 24(2). 281–292. 8 indexed citations
6.
Linke, Annika C., Alejandro Vicente-Grabovetsky, & Rhodri Cusack. (2011). Stimulus-specific suppression preserves information in auditory short-term memory. Proceedings of the National Academy of Sciences. 108(31). 12961–12966. 56 indexed citations
7.
Linke, Annika C., Alejandro Vicente-Grabovetsky, Daniel J. Mitchell, & Rhodri Cusack. (2010). Encoding strategy accounts for individual differences in change detection measures of VSTM. Neuropsychologia. 49(6). 1476–1486. 48 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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2026