Tal Makovski

2.2k total citations
46 papers, 1.5k citations indexed

About

Tal Makovski is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Tal Makovski has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 16 papers in Experimental and Cognitive Psychology and 11 papers in Social Psychology. Recurrent topics in Tal Makovski's work include Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (23 papers) and Neural dynamics and brain function (9 papers). Tal Makovski is often cited by papers focused on Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (23 papers) and Neural dynamics and brain function (9 papers). Tal Makovski collaborates with scholars based in United States, Israel and Spain. Tal Makovski's co-authors include Yuhong Jiang, Rachel S. Sussman, Yehoshua Tsal, Khena M. Swallow, Yoni Pertzov, Won Mok Shim, Joshua K. Hartshorne, Michal Lavidor, Sara C. Mednick and Denise J. Cai and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Tal Makovski

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Makovski United States 22 1.4k 346 250 102 79 46 1.5k
Daryl Fougnie United States 19 1.6k 1.2× 370 1.1× 326 1.3× 108 1.1× 90 1.1× 51 1.8k
Roy Luria Israel 23 1.4k 1.1× 389 1.1× 251 1.0× 51 0.5× 66 0.8× 64 1.7k
Adriane E. Seiffert United States 14 1.6k 1.2× 290 0.8× 185 0.7× 120 1.2× 146 1.8× 34 1.8k
Jun Saiki Japan 17 688 0.5× 207 0.6× 154 0.6× 111 1.1× 70 0.9× 91 860
Johan Hulleman United Kingdom 20 969 0.7× 248 0.7× 160 0.6× 165 1.6× 54 0.7× 52 1.2k
Edward F. Ester United States 18 2.0k 1.5× 218 0.6× 155 0.6× 89 0.9× 56 0.7× 31 2.1k
Jason M. Scimeca United States 15 889 0.7× 194 0.6× 237 0.9× 66 0.6× 87 1.1× 19 1.1k
Manfred MacKeben United States 16 1.5k 1.1× 259 0.7× 145 0.6× 152 1.5× 79 1.0× 45 1.9k
Naseem Al-Aidroos Canada 18 913 0.7× 236 0.7× 137 0.5× 56 0.5× 77 1.0× 44 1.0k
Dietmar Heinke United Kingdom 17 1.2k 0.9× 235 0.7× 245 1.0× 184 1.8× 80 1.0× 59 1.4k

Countries citing papers authored by Tal Makovski

Since Specialization
Citations

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

Fields of papers citing papers by Tal Makovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Makovski

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Makovski. A scholar is included among the top collaborators of Tal Makovski 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 Tal Makovski. Tal Makovski 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.
Makovski, Tal, et al.. (2025). The consequences of preparing for informative or distracting stimuli. Scientific Reports. 15(1). 17402–17402.
2.
Makovski, Tal, et al.. (2022). Meaningful stimuli inflate the role of proactive interference in visual working memory. Memory & Cognition. 50(6). 1157–1168. 8 indexed citations
3.
Makovski, Tal, et al.. (2021). The locus of proactive interference in visual working memory.. Journal of Experimental Psychology Human Perception & Performance. 47(5). 704–715. 8 indexed citations
4.
Sidi, Yael, et al.. (2020). A Metacognitive Perspective of Visual Working Memory With Rich Complex Objects. Frontiers in Psychology. 11. 179–179. 17 indexed citations
5.
Makovski, Tal, et al.. (2019). Grab that face, hammer, or line: No effect of hands position on visual memory.. Journal of Experimental Psychology Human Perception & Performance. 45(7). 936–950. 3 indexed citations
6.
Hartshorne, Joshua K. & Tal Makovski. (2019). The effect of working memory maintenance on long-term memory. Memory & Cognition. 47(4). 749–763. 43 indexed citations
7.
Luria, Roy, et al.. (2019). Bridging the gap between visual temporary memory and working memory: The role of stimuli distinctiveness.. Journal of Experimental Psychology Learning Memory and Cognition. 46(7). 1258–1269. 11 indexed citations
8.
Makovski, Tal. (2017). The open-object illusion: size perception is greatly influenced by object boundaries. Attention Perception & Psychophysics. 79(5). 1282–1289. 2 indexed citations
9.
Makovski, Tal. (2017). Meaning in learning: Contextual cueing relies on objects’ visual features and not on objects’ meaning. Memory & Cognition. 46(1). 58–67. 12 indexed citations
10.
Makovski, Tal. (2016). Does proactive interference play a significant role in visual working memory tasks?. Journal of Experimental Psychology Learning Memory and Cognition. 42(10). 1664–1672. 15 indexed citations
11.
Makovski, Tal & Michal Lavidor. (2014). Stimulating occipital cortex enhances visual working memory consolidation. Behavioural Brain Research. 275. 84–87. 36 indexed citations
12.
Yashar, Amit, Tal Makovski, & Dominique Lamy. (2013). The role of motor response in implicit encoding: Evidence from intertrial priming in pop-out search. Vision Research. 93. 80–87. 13 indexed citations
13.
Makovski, Tal. (2012). Are multiple visual short-term memory storages necessary to explain the retro-cue effect?. Psychonomic Bulletin & Review. 19(3). 470–476. 38 indexed citations
14.
Makovski, Tal, Khena M. Swallow, & Yuhong Jiang. (2010). Attending to unrelated targets boosts short-term memory for color arrays. Neuropsychologia. 49(6). 1498–1505. 35 indexed citations
15.
Mednick, Sara C., et al.. (2009). Sleep and rest facilitate implicit memory in a visual search task. Vision Research. 49(21). 2557–2565. 49 indexed citations
16.
Makovski, Tal & Yuhong Jiang. (2009). The role of visual working memory in attentive tracking of unique objects.. Journal of Experimental Psychology Human Perception & Performance. 35(6). 1687–1697. 67 indexed citations
17.
Makovski, Tal & Yuhong Jiang. (2008). Feature binding in attentive tracking of distinct objects. Visual Cognition. 17(1-2). 180–194. 75 indexed citations
18.
Jiang, Yuhong, Won Mok Shim, & Tal Makovski. (2008). Visual working memory for line orientations and face identities. Perception & Psychophysics. 70(8). 1581–1591. 34 indexed citations
19.
Makovski, Tal & Yuhong Jiang. (2007). Distributing versus focusing attention in visual short-term memory. Psychonomic Bulletin & Review. 14(6). 1072–1078. 170 indexed citations
20.
Tsal, Yehoshua & Tal Makovski. (2006). The attentional white bear phenomenon: The mandatory allocation of attention to expected distractor locations.. Journal of Experimental Psychology Human Perception & Performance. 32(2). 351–363. 69 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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