Mauro Manassi

1.7k total citations
45 papers, 1.1k citations indexed

About

Mauro Manassi is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Mauro Manassi has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Mauro Manassi's work include Visual perception and processing mechanisms (31 papers), Neural dynamics and brain function (15 papers) and Face Recognition and Perception (15 papers). Mauro Manassi is often cited by papers focused on Visual perception and processing mechanisms (31 papers), Neural dynamics and brain function (15 papers) and Face Recognition and Perception (15 papers). Mauro Manassi collaborates with scholars based in United States, United Kingdom and Switzerland. Mauro Manassi's co-authors include David Whitney, Michael H. Herzog, Bilge Sayim, Alina Liberman, Kathy Zhang, Anna Kosovicheva, Gregory Francis, Yuki Murai, Árni Kristjánsson and Adrien Doerig and has published in prestigious journals such as Psychological Review, Current Biology and Scientific Reports.

In The Last Decade

Mauro Manassi

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauro Manassi United States 19 971 198 160 87 39 45 1.1k
Bilge Sayim France 20 1.1k 1.1× 198 1.0× 216 1.4× 165 1.9× 36 0.9× 56 1.2k
Ramakrishna Chakravarthi United Kingdom 15 670 0.7× 111 0.6× 89 0.6× 74 0.9× 40 1.0× 40 743
Brian Barton United States 11 886 0.9× 190 1.0× 62 0.4× 114 1.3× 19 0.5× 27 1.0k
Josée Rivest Canada 10 671 0.7× 281 1.4× 125 0.8× 95 1.1× 30 0.8× 18 758
J. A. Solomon United Kingdom 6 886 0.9× 176 0.9× 211 1.3× 129 1.5× 32 0.8× 7 962
Srimant P. Tripathy United Kingdom 17 993 1.0× 120 0.6× 157 1.0× 134 1.5× 19 0.5× 40 1.1k
Kenith V. Sobel United States 11 582 0.6× 217 1.1× 52 0.3× 95 1.1× 52 1.3× 25 670
M. Palomares United States 12 931 1.0× 165 0.8× 146 0.9× 93 1.1× 118 3.0× 22 1.1k
Walter Gerbino Italy 16 661 0.7× 147 0.7× 189 1.2× 206 2.4× 12 0.3× 71 839
Mary J. Bravo United States 15 744 0.8× 146 0.7× 348 2.2× 121 1.4× 10 0.3× 27 964

Countries citing papers authored by Mauro Manassi

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Manassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Manassi

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Manassi. A scholar is included among the top collaborators of Mauro Manassi 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 Mauro Manassi. Mauro Manassi 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.
Manassi, Mauro, et al.. (2025). Does surface completion fail to support uncrowding?. Journal of Vision. 25(3). 1–1. 2 indexed citations
2.
Manassi, Mauro, et al.. (2024). Super recognizers: Increased sensitivity or reduced biases? Insights from serial dependence. Journal of Vision. 24(7). 13–13.
3.
Manassi, Mauro & David Whitney. (2024). Continuity fields enhance visual perception through positive serial dependence. Nature Reviews Psychology. 3(5). 352–366. 20 indexed citations
4.
Manassi, Mauro, Yuki Murai, & David Whitney. (2023). Serial dependence in visual perception: A meta-analysis and review. Journal of Vision. 23(8). 18–18. 45 indexed citations
5.
Li, Xinyu, et al.. (2023). Serial Dependence in Dermatological Judgments. Diagnostics. 13(10). 1775–1775. 5 indexed citations
6.
Manassi, Mauro, et al.. (2023). Serial dependence in perception across naturalistic generative adversarial network-generated mammogram. Journal of Medical Imaging. 10(4). 45501–45501. 2 indexed citations
7.
Sutherland, Clare, et al.. (2023). Three's a crowd: Fast ensemble perception of first impressions of trustworthiness. Cognition. 239. 105540–105540.
8.
Wang, Zixuan, et al.. (2022). Idiosyncratic biases in the perception of medical images. Frontiers in Psychology. 13. 2 indexed citations
9.
Manassi, Mauro, Árni Kristjánsson, & David Whitney. (2019). Serial dependence in a simulated clinical visual search task. Scientific Reports. 9(1). 19937–19937. 36 indexed citations
10.
Liberman, Alina, Mauro Manassi, & David Whitney. (2018). Serial dependence promotes the stability of perceived emotional expression depending on face similarity. Attention Perception & Psychophysics. 80(6). 1461–1473. 68 indexed citations
11.
Manassi, Mauro, Alina Liberman, Anna Kosovicheva, Kathy Zhang, & David Whitney. (2018). Serial dependence in position occurs at the time of perception. Psychonomic Bulletin & Review. 25(6). 2245–2253. 111 indexed citations
12.
Manassi, Mauro, et al.. (2017). The perceived stability of scenes: serial dependence in ensemble representations. Scientific Reports. 7(1). 1971–1971. 84 indexed citations
13.
Francis, Gregory, Mauro Manassi, & Michael H. Herzog. (2017). Neural dynamics of grouping and segmentation explain properties of visual crowding.. Psychological Review. 124(4). 483–504. 40 indexed citations
14.
Sayim, Bilge, Mauro Manassi, & Michael H. Herzog. (2014). How color, regularity, and good Gestalt determine backward masking. Journal of Vision. 14(7). 8–8. 25 indexed citations
15.
Manassi, Mauro, Bilge Sayim, & Michael H. Herzog. (2013). When crowding of crowding leads to uncrowding. Journal of Vision. 13(9). 624–624. 1 indexed citations
16.
Manassi, Mauro & Michael H. Herzog. (2013). Crowding and grouping: how much time is needed to process good Gestalt?. Perception. 42. 229–229. 2 indexed citations
17.
Manassi, Mauro, Bilge Sayim, & Michael H. Herzog. (2012). Grouping, pooling, and when bigger is better in visual crowding. Journal of Vision. 12(10). 13–13. 140 indexed citations
18.
Sayim, Bilge, Mauro Manassi, & Michael H. Herzog. (2010). How good Gestalt counteracts clutter in contextual modulation. Perception. 39. 28. 1 indexed citations
19.
Manassi, Mauro, Bilge Sayim, & Michael H. Herzog. (2010). In contextual modulation, bigger is not better for low luminance stimuli. Perception. 39. 28. 1 indexed citations
20.

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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