Dawn Finzi

488 total citations
10 papers, 202 citations indexed

About

Dawn Finzi is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dawn Finzi has authored 10 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 2 papers in Social Psychology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dawn Finzi's work include Face Recognition and Perception (8 papers), Visual perception and processing mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Dawn Finzi is often cited by papers focused on Face Recognition and Perception (8 papers), Visual perception and processing mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Dawn Finzi collaborates with scholars based in United States, Germany and Canada. Dawn Finzi's co-authors include Kalanit Grill‐Spector, Jesse Gomez, Marisa Nordt, Daniel Drew, Masud Husain, Sanjay Manohar, Sonia Poltoratski, Vaidehi Natu, Kendrick Kay and Daniel Yamins and has published in prestigious journals such as Nature Communications, Neuron and Psychological Science.

In The Last Decade

Dawn Finzi

10 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawn Finzi United States	8	192	40	37	17	16	10	202
Jason Webster United States	2	250 1.3×	35 0.9×	47 1.3×	28 1.6×	33 2.1×	5	263
Lina Teichmann Australia	8	229 1.2×	35 0.9×	61 1.6×	10 0.6×	45 2.8×	19	283
Nir Shalev United Kingdom	11	189 1.0×	19 0.5×	30 0.8×	34 2.0×	17 1.1×	25	236
Fumie Saito Japan	7	169 0.9×	20 0.5×	38 1.0×	18 1.1×	35 2.2×	17	215
Annelies Baeck Belgium	10	247 1.3×	24 0.6×	46 1.2×	20 1.2×	30 1.9×	13	270
Timothy M. Gersch United States	7	252 1.3×	65 1.6×	44 1.2×	15 0.9×	24 1.5×	9	298
Francesca Strappini Italy	9	233 1.2×	26 0.7×	21 0.6×	5 0.3×	11 0.7×	23	279
Christoph Daube United Kingdom	9	252 1.3×	17 0.4×	68 1.8×	11 0.6×	24 1.5×	11	288
Supriya Ray India	6	252 1.3×	17 0.4×	13 0.4×	8 0.5×	15 0.9×	12	263
Frederik S. Kamps United States	10	279 1.5×	72 1.8×	41 1.1×	33 1.9×	18 1.1×	17	321

Countries citing papers authored by Dawn Finzi

Since Specialization

Citations

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

Fields of papers citing papers by Dawn Finzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn Finzi

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Finzi. A scholar is included among the top collaborators of Dawn Finzi 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 Dawn Finzi. Dawn Finzi 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

Margalit, Eshed, et al.. (2024). A unifying framework for functional organization in early and higher ventral visual cortex. Neuron. 112(14). 2435–2451.e7. 14 indexed citations

Nordt, Marisa, et al.. (2023). Longitudinal development of category representations in ventral temporal cortex predicts word and face recognition. Nature Communications. 14(1). 8010–8010. 8 indexed citations

Grotheer, Mareike, et al.. (2022). White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood. Cerebral Cortex. 33(6). 2485–2506. 10 indexed citations

Finzi, Dawn, Daniel Yamins, Kendrick Kay, & Kalanit Grill‐Spector. (2022). Do deep convolutional neural networks accurately model representations beyond the ventral stream?. 1 indexed citations

Poltoratski, Sonia, Kendrick Kay, Dawn Finzi, & Kalanit Grill‐Spector. (2021). Holistic face recognition is an emergent phenomenon of spatial processing in face-selective regions. Nature Communications. 12(1). 4745–4745. 24 indexed citations

Nordt, Marisa, et al.. (2021). Cortical recycling in high-level visual cortex during childhood development. Nature Human Behaviour. 5(12). 1686–1697. 49 indexed citations

Finzi, Dawn, et al.. (2021). Differential spatial computations in ventral and lateral face-selective regions are scaffolded by structural connections. Nature Communications. 12(1). 2278–2278. 34 indexed citations

Nordt, Marisa, et al.. (2020). Selectivity to limbs in ventral temporal cortex decreases during childhood as selectivity to faces and words increases. Journal of Vision. 20(11). 152–152. 1 indexed citations

Manohar, Sanjay, Dawn Finzi, Daniel Drew, & Masud Husain. (2017). Distinct Motivational Effects of Contingent and Noncontingent Rewards. Psychological Science. 28(7). 1016–1026. 51 indexed citations

10.

Finzi, Dawn, Tirta Susilo, Jason J.S. Barton, & Bradley Duchaine. (2016). The role of holistic face processing in acquired prosopagnosia: evidence from the composite face effect. Visual Cognition. 24(4). 304–320. 10 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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