Márta Gácsi

7.2k total citations · 1 hit paper
136 papers, 4.8k citations indexed

About

Márta Gácsi is a scholar working on Genetics, Social Psychology and Pharmacy. According to data from OpenAlex, Márta Gácsi has authored 136 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Genetics, 58 papers in Social Psychology and 36 papers in Pharmacy. Recurrent topics in Márta Gácsi's work include Human-Animal Interaction Studies (93 papers), Infant Health and Development (36 papers) and Social Robot Interaction and HRI (28 papers). Márta Gácsi is often cited by papers focused on Human-Animal Interaction Studies (93 papers), Infant Health and Development (36 papers) and Social Robot Interaction and HRI (28 papers). Márta Gácsi collaborates with scholars based in Hungary, Austria and Japan. Márta Gácsi's co-authors include Ádám Miklósi, József Topál, Vilmos Csányi, Zsófia Virányi, Enikő Kubinyi, Anna Kis, Tamás Faragó, Attila Andics, Katalin Maros and Péter Köröndi and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Márta Gácsi

131 papers receiving 4.7k citations

Hit Papers

A Simple Reason for a Big Difference 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Márta Gácsi Hungary 34 3.7k 1.9k 1.2k 1.1k 786 136 4.8k
Zsófia Virányi Austria 37 3.4k 0.9× 1.9k 1.0× 1.1k 1.0× 736 0.7× 848 1.1× 107 4.3k
Enikő Kubinyi Hungary 34 3.3k 0.9× 1.5k 0.8× 1.1k 1.0× 717 0.6× 747 1.0× 135 4.1k
Friederike Range Austria 44 3.3k 0.9× 2.6k 1.4× 1.2k 1.0× 518 0.5× 1.1k 1.3× 195 5.3k
József Topál Hungary 43 6.1k 1.6× 2.9k 1.5× 1.9k 1.6× 1.8k 1.6× 1.2k 1.6× 128 7.1k
Juliane Kaminski Germany 30 2.3k 0.6× 1.5k 0.8× 737 0.6× 540 0.5× 542 0.7× 64 3.5k
Sarah Marshall‐Pescini Austria 34 2.3k 0.6× 2.0k 1.0× 833 0.7× 444 0.4× 701 0.9× 102 3.7k
Clive D. L. Wynne United States 38 2.6k 0.7× 1.2k 0.6× 1.3k 1.1× 457 0.4× 437 0.6× 138 4.2k
Daniel S. Mills United Kingdom 48 5.4k 1.4× 1.6k 0.9× 3.2k 2.7× 616 0.6× 658 0.8× 280 7.5k
Vilmos Csányi Hungary 30 3.1k 0.8× 1.3k 0.7× 1.0k 0.9× 793 0.7× 570 0.7× 65 3.8k
Paola Valsecchi Italy 34 2.0k 0.5× 1.1k 0.6× 1.0k 0.9× 292 0.3× 517 0.7× 95 3.0k

Countries citing papers authored by Márta Gácsi

Since Specialization
Citations

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

Fields of papers citing papers by Márta Gácsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márta Gácsi

This figure shows the co-authorship network connecting the top 25 collaborators of Márta Gácsi. A scholar is included among the top collaborators of Márta Gácsi 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 Márta Gácsi. Márta Gácsi 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
2.
Gácsi, Márta, et al.. (2025). Self-control is associated with the interaction of ADHD-like traits and training level in dogs. The Veterinary Journal. 314. 106483–106483.
3.
Gácsi, Márta, et al.. (2024). More inattentive dogs benefit from repetitive but not permissive training. Applied Animal Behaviour Science. 281. 106449–106449. 1 indexed citations
4.
Gácsi, Márta, et al.. (2024). Potential interactive effect of positive expectancy violation and sleep on memory consolidation in dogs. Scientific Reports. 14(1). 9487–9487. 5 indexed citations
5.
Gácsi, Márta, et al.. (2024). Towards an Objective Measurement Tool for ADHD-like Traits in Family Dogs: A Comprehensive Test Battery. Animals. 14(13). 1841–1841. 5 indexed citations
6.
Gergely, Anna, et al.. (2023). Dog brains are sensitive to infant- and dog-directed prosody. Communications Biology. 6(1). 859–859. 12 indexed citations
7.
Gácsi, Márta, Ádám Miklósi, & József Topál. (2023). Comment on “Human‐directed attachment behaviour in wolves suggests standing ancestral variation for human‐dog attachment bonds”. Ecology and Evolution. 13(9). e10514–e10514. 3 indexed citations
8.
Bunford, Nóra, Dóra Szabó, Ádám Szabó, et al.. (2020). Comparative Brain Imaging Reveals Analogous and Divergent Patterns of Species and Face Sensitivity in Humans and Dogs. Journal of Neuroscience. 40(43). 8396–8408. 30 indexed citations
9.
Kis, Anna, et al.. (2020). Repeated afternoon sleep recordings indicate first‐night‐effect‐like adaptation process in family dogs. Journal of Sleep Research. 29(6). e12998–e12998. 24 indexed citations
10.
Bunford, Nóra, et al.. (2019). Individual Differences in Response to Ambiguous Stimuli in a Modified Go/No-Go Paradigm are Associated with Personality in Family Dogs. Scientific Reports. 9(1). 11067–11067. 9 indexed citations
11.
Bunford, Nóra, Anna Kis, Ákos Pogány, et al.. (2018). Differences in pre-sleep activity and sleep location are associated with variability in daytime/nighttime sleep electrophysiology in the domestic dog. Scientific Reports. 8(1). 7109–7109. 35 indexed citations
12.
Ujfalussy, Dorottya Júlia, et al.. (2017). Differences in greeting behaviour towards humans with varying levels of familiarity in hand-reared wolves ( Canis lupus ). Royal Society Open Science. 4(6). 160956–160956. 18 indexed citations
13.
Kis, Anna, Sára Szakadát, Márta Gácsi, et al.. (2017). The interrelated effect of sleep and learning in dogs (Canis familiaris); an EEG and behavioural study. Scientific Reports. 7(1). 41873–41873. 54 indexed citations
14.
Pongrácz, Péter, et al.. (2013). Test sensitivity is important for detecting variability in pointing comprehension in canines. Animal Cognition. 16(5). 721–735. 30 indexed citations
15.
Kovács, Szilveszter, et al.. (2012). A novel application of the 3D VirCA environment: Modeling a standard ethological test of dog-human interactions. Acta Polytechnica Hungarica. 9(1). 107–120. 13 indexed citations
16.
Köröndi, Péter, et al.. (2011). Ethologically Inspired Robot Design. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations
17.
Kovács, Szilveszter, et al.. (2011). A novel, ethologically inspired HRI model implementation: Simulating dog-human attachment. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations
18.
Gácsi, Márta, et al.. (2009). The effect of development and individual differences in pointing comprehension of dogs. Animal Cognition. 12(3). 471–479. 97 indexed citations
19.
Miklósi, Ádám, Enikő Kubinyi, Márta Gácsi, et al.. (2007). AN ALTERNATIVE FUNCTIONAL MODEL FOR THE EVOLUTIONARY STUDY OF HUMAN SOCIAL BEHAVIOUR: THE DOG. 62(1). 139–158. 1 indexed citations
20.
Miklósi, Ádám, Enikő Kubinyi, József Topál, et al.. (2003). A Simple Reason for a Big Difference. Current Biology. 13(9). 763–766. 519 indexed citations breakdown →

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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