Suzanne Aussems

426 total citations · 1 hit paper
17 papers, 171 citations indexed

About

Suzanne Aussems is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Human-Computer Interaction. According to data from OpenAlex, Suzanne Aussems has authored 17 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 6 papers in Experimental and Cognitive Psychology and 5 papers in Human-Computer Interaction. Recurrent topics in Suzanne Aussems's work include Hearing Impairment and Communication (10 papers), Child and Animal Learning Development (6 papers) and Hand Gesture Recognition Systems (5 papers). Suzanne Aussems is often cited by papers focused on Hearing Impairment and Communication (10 papers), Child and Animal Learning Development (6 papers) and Hand Gesture Recognition Systems (5 papers). Suzanne Aussems collaborates with scholars based in United Kingdom, Netherlands and United States. Suzanne Aussems's co-authors include Sotaro Kita, Paul Vogt, Roger Mundry, Naomi Havron, Julien Mayor, Mihaela Barokova, Junko Kanero, Catherine Davies, Tzipi Horowitz‐Kraus and Christina Keller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Child Development and Scientific Reports.

In The Last Decade

Suzanne Aussems

16 papers receiving 166 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Young children’s screen time during the first COVID-19 lockdown in 12 countries

2022 81 citations Christina Bergmann, Nevena Dimitrova et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne Aussems United Kingdom	6	78	66	49	39	22	17	171
Renée Desjardins Canada	7	130 1.7×	19 0.3×	18 0.4×	24 0.6×	62 2.8×	15	224
Anne Salazar Orvig France	8	69 0.9×	35 0.5×	37 0.8×	21 0.5×	92 4.2×	44	220
Dianne Toe Australia	11	168 2.2×	56 0.8×	22 0.4×	16 0.4×	53 2.4×	26	238
Debbie Golos United States	11	177 2.3×	48 0.7×	35 0.7×	19 0.5×	97 4.4×	22	234
Virginia González United States	9	88 1.1×	117 1.8×	25 0.5×	18 0.5×	50 2.3×	35	217
Celia Renata Rosemberg Argentina	10	179 2.3×	213 3.2×	36 0.7×	37 0.9×	52 2.4×	85	334
Lara‐Jeane C. Costa United States	9	240 3.1×	200 3.0×	12 0.2×	41 1.1×	19 0.9×	11	293
Beatriz Gallardo Paúls Spain	9	55 0.7×	23 0.3×	15 0.3×	21 0.5×	107 4.9×	72	211
Brigitte Scheele Germany	8	24 0.3×	58 0.9×	41 0.8×	17 0.4×	36 1.6×	15	192
Kjellrun T. Englund Norway	8	174 2.2×	45 0.7×	36 0.7×	156 4.0×	33 1.5×	8	289

Countries citing papers authored by Suzanne Aussems

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne Aussems

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Aussems

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

All Works

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17 of 17 papers shown

Aussems, Suzanne. (2025). How to implement a unified multimodal framework of first language acquisition: A commentary on Karadöller, Sümer, and Özyürek. First Language. 45(6). 711–715. 1 indexed citations

Aussems, Suzanne, et al.. (2024). Do 14–17-month-old infants use iconic speech and gesture cues to interpret word meanings?. The Journal of the Acoustical Society of America. 156(1). 638–654. 1 indexed citations

Bergmann, Christina, Nevena Dimitrova, Suzanne Aussems, et al.. (2022). Young children’s screen time during the first COVID-19 lockdown in 12 countries. Scientific Reports. 12(1). 2015–2015. 81 indexed citations breakdown →

Aussems, Suzanne, et al.. (2022). Encouraging pointing with the right hand, but not the left hand, gives right‐handed 3‐year‐olds a linguistic advantage. Developmental Science. 26(3). e13315–e13315.

Aussems, Suzanne, et al.. (2021). Prior experience with unlabeled actions promotes 3-year-old children’s verb learning.. Journal of Experimental Psychology General. 151(1). 246–262. 5 indexed citations

Kita, Sotaro, et al.. (2021). Beyond the Shape of Things: Infants Can Be Taught to Generalize Nouns by Objects’ Functions. Psychological Science. 32(7). 1073–1085. 5 indexed citations

Aussems, Suzanne & Sotaro Kita. (2020). Seeing Iconic Gesture Promotes First- and Second-Order Verb Generalization in Preschoolers. Child Development. 92(1). 124–141. 11 indexed citations

Aussems, Suzanne. (2019). How seeing iconic gestures facilitates action event memory and verb learning in 3-year-old children. Language Acquisition. 27(1). 68–70. 1 indexed citations

Aussems, Suzanne & Paul Vogt. (2018). Adults Use Cross-Situational Statistics for Word Learning in a Conservative Way. IEEE Transactions on Cognitive and Developmental Systems. 12(2). 232–242. 2 indexed citations

10.

Aussems, Suzanne & Sotaro Kita. (2017). Seeing Iconic Gestures While Encoding Events Facilitates Children's Memory of These Events. Child Development. 90(4). 1123–1137. 33 indexed citations

11.

Aussems, Suzanne, et al.. (2017). Digital resource to support : "GestuRe and ACtion Exemplar (GRACE) Video Database: Stimuli for Research on Manners of Human Locomotion and Iconic Gestures". Warwick Research Archive Portal (University of Warwick). 1 indexed citations

12.

Aussems, Suzanne, et al.. (2017). GestuRe and ACtion Exemplar (GRACE) video database: stimuli for research on manners of human locomotion and iconic gestures. Behavior Research Methods. 50(3). 1270–1284. 6 indexed citations

13.

Aussems, Suzanne & Paul Vogt. (2015). Adults Track Multiple Hypotheses Simultaneously during Word Learning. Cognitive Science. 1 indexed citations

14.

Vogt, Paul, et al.. (2015). Early Vocabulary Development in Rural and Urban Mozambique. SHILAP Revista de lepidopterología. 2015. 1–15. 13 indexed citations

15.

Zaanen, Menno van, et al.. (2014). The Development of Dutch and Afrikaans Language Resources for Compound Boundary Analysis.. Language Resources and Evaluation. 1056–1062. 4 indexed citations

16.

Aussems, Suzanne, et al.. (2013). Automatically identifying compounds. Data Archiving and Networked Services (DANS). 2 indexed citations

17.

Aussems, Suzanne, et al.. (2013). Unsupervised identification of compounds. Data Archiving and Networked Services (DANS). 18–25. 4 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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