Hika Kuroshima

1.6k total citations
53 papers, 1.0k citations indexed

About

Hika Kuroshima is a scholar working on Social Psychology, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Hika Kuroshima has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Social Psychology, 25 papers in Cognitive Neuroscience and 18 papers in Developmental and Educational Psychology. Recurrent topics in Hika Kuroshima's work include Primate Behavior and Ecology (25 papers), Child and Animal Learning Development (16 papers) and Human-Animal Interaction Studies (13 papers). Hika Kuroshima is often cited by papers focused on Primate Behavior and Ecology (25 papers), Child and Animal Learning Development (16 papers) and Human-Animal Interaction Studies (13 papers). Hika Kuroshima collaborates with scholars based in Japan, United Kingdom and United States. Hika Kuroshima's co-authors include Kazuo Fujita, James R. Anderson, Yuko Hattori, Ayaka Takimoto, Hitomi Chijiiwa, Yusuke Hori, Saho Takagi, Hiroko Kuwahata, Atsuko Saito and Yoshikazu Ueno and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hika Kuroshima

53 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hika Kuroshima Japan 20 675 358 294 261 213 53 1.0k
Christopher Krupenye United States 17 721 1.1× 466 1.3× 330 1.1× 178 0.7× 196 0.9× 30 1.1k
Victoria Wobber United States 16 729 1.1× 306 0.9× 151 0.5× 422 1.6× 272 1.3× 19 1.2k
Valérie Dufour France 21 677 1.0× 319 0.9× 328 1.1× 133 0.5× 226 1.1× 60 1.2k
Charles R. Menzel United States 17 678 1.0× 451 1.3× 435 1.5× 88 0.3× 175 0.8× 33 1.1k
Mathias Osvath Sweden 17 688 1.0× 350 1.0× 344 1.2× 136 0.5× 135 0.6× 45 1.3k
Bryan Agnetta Germany 8 819 1.2× 721 2.0× 279 0.9× 459 1.8× 126 0.6× 8 1.2k
Thomas D. Sambrook United Kingdom 15 382 0.6× 266 0.7× 512 1.7× 205 0.8× 182 0.9× 22 1.1k
Hani D. Freeman United States 20 808 1.2× 266 0.7× 368 1.3× 210 0.8× 255 1.2× 32 1.1k
Bonnie M. Perdue United States 21 549 0.8× 326 0.9× 345 1.2× 274 1.0× 108 0.5× 56 1.2k
Timothy J. Eddy United States 13 697 1.0× 544 1.5× 336 1.1× 370 1.4× 107 0.5× 20 1.1k

Countries citing papers authored by Hika Kuroshima

Since Specialization
Citations

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

Fields of papers citing papers by Hika Kuroshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hika Kuroshima

This figure shows the co-authorship network connecting the top 25 collaborators of Hika Kuroshima. A scholar is included among the top collaborators of Hika Kuroshima 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 Hika Kuroshima. Hika Kuroshima 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.
Takagi, Saho, et al.. (2023). Cats Did Not Change Their Problem-Solving Behaviours after Human Demonstrations. Animals. 13(6). 984–984. 1 indexed citations
2.
Takagi, Saho, Atsuko Saito, Hitomi Chijiiwa, et al.. (2022). Cats learn the names of their friend cats in their daily lives. Scientific Reports. 12(1). 6155–6155. 7 indexed citations
3.
Kuroshima, Hika, et al.. (2021). Motion parallax via head movements modulates visuo-motor control in pigeons. Journal of Experimental Biology. 224(3). 1 indexed citations
4.
Nakamura, Noriyuki, et al.. (2021). Preference or flexibility? Spatial navigation by Syrian hamsters (Mesocricetus auratus) in a multiple-cue environment.. Journal of comparative psychology. 135(3). 327–337. 1 indexed citations
5.
Fujita, Kazuo, et al.. (2020). Pigeons (Columba livia) integrate visual motion using the vector average rule: effect of viewing distance. Animal Cognition. 23(4). 819–825. 1 indexed citations
6.
Hotta, Takashi, et al.. (2020). Transitive inference in cleaner wrasses (Labroides dimidiatus). PLoS ONE. 15(8). e0237817–e0237817. 16 indexed citations
7.
Kuroshima, Hika, et al.. (2020). Dynamic Corridor Illusion in Pigeons: Humanlike Pictorial Cue Precedence Over Motion Parallax Cue in Size Perception. i-Perception. 11(2). 982182960–982182960. 3 indexed citations
8.
Chijiiwa, Hitomi, Saho Takagi, Yusuke Hori, et al.. (2020). Dogs and cats prioritize human action: choosing a now-empty instead of a still-baited container. Animal Cognition. 24(1). 65–73. 10 indexed citations
9.
Kuroshima, Hika, et al.. (2019). Pigeons integrate visual motion signals differently than humans. Scientific Reports. 9(1). 13411–13411. 1 indexed citations
10.
Kuroshima, Hika, et al.. (2019). Pigeons show metamemory by requesting reduced working memory loads.. SHILAP Revista de lepidopterología. 6(4). 247–253. 4 indexed citations
11.
Kuroshima, Hika, et al.. (2014). Does own experience affect perception of others’ actions in capuchin monkeys (Cebus apella)?. Animal Cognition. 17(6). 1269–1279. 2 indexed citations
12.
Anderson, James R., Hika Kuroshima, Ayaka Takimoto, & Kazuo Fujita. (2013). Third-party social evaluation of humans by monkeys. Nature Communications. 4(1). 1561–1561. 46 indexed citations
13.
Hattori, Yuko, Hika Kuroshima, & Kazuo Fujita. (2009). Tufted capuchin monkeys (Cebus apella) show understanding of human attentional states when requesting food held by a human. Animal Cognition. 13(1). 87–92. 49 indexed citations
14.
Kuroshima, Hika, Hiroko Kuwahata, & Kazuo Fujita. (2008). Learning from others’ mistakes in capuchin monkeys (Cebus apella). Animal Cognition. 11(4). 599–609. 15 indexed citations
15.
Anderson, James R., Hika Kuroshima, Annika Paukner, & Kazuo Fujita. (2008). Capuchin monkeys (Cebus apella) respond to video images of themselves. Animal Cognition. 12(1). 55–62. 18 indexed citations
16.
Hattori, Yuko, Hika Kuroshima, & Kazuo Fujita. (2006). I know you are not looking at me: capuchin monkeys’ (Cebus apella) sensitivity to human attentional states. Animal Cognition. 10(2). 141–148. 51 indexed citations
17.
Saito, Atsuko, Shoji Kawamura, Akichika Mikami, et al.. (2005). Demonstration of a genotype–phenotype correlation in the polymorphic color vision of a non‐callitrichine New World monkey, capuchin (Cebus apella). American Journal of Primatology. 67(4). 471–485. 26 indexed citations
18.
Anderson, James R., Hiroko Kuwahata, Hika Kuroshima, Katherine A. Leighty, & Kazuo Fujita. (2005). Are monkeys aesthetists? Rensch (1957) revisited.. Journal of Experimental Psychology Animal Behavior Processes. 31(1). 71–78. 23 indexed citations
19.
Saito, Atsuko, Akichika Mikami, Shoji Kawamura, et al.. (2005). Advantage of dichromats over trichromats in discrimination of color‐camouflaged stimuli in nonhuman primates. American Journal of Primatology. 67(4). 425–436. 62 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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