Julia Sliwa

920 total citations
9 papers, 448 citations indexed

About

Julia Sliwa is a scholar working on Cognitive Neuroscience, Social Psychology and Pathology and Forensic Medicine. According to data from OpenAlex, Julia Sliwa has authored 9 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Julia Sliwa's work include Face Recognition and Perception (7 papers), Neural dynamics and brain function (5 papers) and Primate Behavior and Ecology (3 papers). Julia Sliwa is often cited by papers focused on Face Recognition and Perception (7 papers), Neural dynamics and brain function (5 papers) and Primate Behavior and Ecology (3 papers). Julia Sliwa collaborates with scholars based in France, United States and Germany. Julia Sliwa's co-authors include Winrich A. Freiwald, Sylvia Wirth, Jean‐René Duhamel, Olivier Pascalis, Nikos K. Logothetis, Ben Deen, David A. Leopold, Caspar M. Schwiedrzik, Georgios A. Keliris and Brian A. Wandell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Julia Sliwa

8 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Sliwa France	6	301	164	68	55	55	9	448
Ricardo Gil-da-Costa United States	8	325 1.1×	161 1.0×	145 2.1×	110 2.0×	10 0.2×	9	573
Akemi Kato Japan	10	179 0.6×	106 0.6×	45 0.7×	35 0.6×	8 0.1×	14	315
Masumi Wakita Japan	8	212 0.7×	102 0.6×	46 0.7×	38 0.7×	10 0.2×	17	361
Natacha Mendes Germany	9	163 0.5×	252 1.5×	51 0.8×	50 0.9×	27 0.5×	14	442
Erika N. Lorincz Switzerland	8	223 0.7×	171 1.0×	20 0.3×	44 0.8×	17 0.3×	17	378
Noemi Rook Germany	7	135 0.4×	102 0.6×	60 0.9×	27 0.5×	7 0.1×	12	280
Brian E. Russ United States	17	1.0k 3.4×	123 0.8×	104 1.5×	258 4.7×	158 2.9×	43	1.2k
Dany Paleressompoulle France	9	174 0.6×	111 0.7×	22 0.3×	31 0.6×	8 0.1×	13	503
Tomoko Imura Japan	12	240 0.8×	154 0.9×	22 0.3×	63 1.1×	7 0.1×	44	374
Merri J. Rosen United States	14	543 1.8×	101 0.6×	149 2.2×	130 2.4×	16 0.3×	27	790

Countries citing papers authored by Julia Sliwa

Since Specialization

Citations

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

Fields of papers citing papers by Julia Sliwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Sliwa

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

All Works

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9 of 9 papers shown

1.

Sliwa, Julia, et al.. (2024). Practicing cooperative skills shapes brain-wide networks. Trends in Cognitive Sciences. 28(7). 590–592.

2.

Deen, Ben, Caspar M. Schwiedrzik, Julia Sliwa, & Winrich A. Freiwald. (2023). Specialized Networks for Social Cognition in the Primate Brain. Annual Review of Neuroscience. 46(1). 381–401. 18 indexed citations

3.

Sliwa, Julia, et al.. (2022). Neural basis of multi-sensory communication in primates. Ethology Ecology & Evolution. 34(3). 322–343. 4 indexed citations

4.

Sliwa, Julia, Daniel Y. Takahashi, & Stephen V. Shepherd. (2018). Mécanismes neuronaux pour la communication chez les primates. SHILAP Revista de lepidopterología. 9. 1 indexed citations

5.

Sliwa, Julia & Winrich A. Freiwald. (2017). A dedicated network for social interaction processing in the primate brain. Science. 356(6339). 745–749. 204 indexed citations

6.

Takemura, Hiromasa, Franco Pestilli, Kevin S. Weiner, et al.. (2017). Occipital White Matter Tracts in Human and Macaque. Cerebral Cortex. 27(6). 3346–3359. 63 indexed citations

7.

Sliwa, Julia, et al.. (2014). Independent Neuronal Representation of Facial and Vocal Identity in the Monkey Hippocampus and Inferotemporal Cortex. Cerebral Cortex. 26(3). 950–966. 35 indexed citations

8.

Sliwa, Julia, Jean‐René Duhamel, Olivier Pascalis, & Sylvia Wirth. (2011). Spontaneous voice–face identity matching by rhesus monkeys for familiar conspecifics and humans. Proceedings of the National Academy of Sciences. 108(4). 1735–1740. 97 indexed citations

9.

Piwkowska, Zuzanna, Martin Pospischil, Romain Brette, et al.. (2007). Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation. Journal of Neuroscience Methods. 169(2). 302–322. 26 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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