Nik Swoboda

741 citations
17 papers · 352 indexed · h-index 7
Topics
Language and cultural evolution (6 papers)Child and Animal Learning Development (5 papers)Language, Metaphor, and Cognition (5 papers)

In The Last Decade

Nik Swoboda

15 papers receiving 335 citations

Peers

Nik Swoboda
Comparison fields: 5 of 52
  • Cultural Studies 163
  • Artificial Intelligence 113
  • Experimental and Cognitive Psychology 107
  • Language and Linguistics 73
  • Developmental and Educational Psychology 63
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Citations per year

Countries citing papers authored by Nik Swoboda

Since Specialization
Citations

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

Fields of papers citing papers by Nik Swoboda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nik Swoboda

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 6
2 18
3 3
4 106
5 0
6 53
7
An Experimental Investigation of the Role of Collaboration in the Evolution of Communication Systems
1
8 63
9
Proceedings of Diagrammatic Representation and Inference (Diagrams 2006): 4th International Conference
1
10
Diagrammatic Representation and Inference: 4th International Conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006, Proceedings (Lecture Notes in Computer Science)
4
11 2
12
Proceedings of the 4th international conference on Diagrammatic Representation and Inference
1
13 25
14 37
15 6
16 22
17
Representational Form and Communicative Use
4

About Nik Swoboda

Nik Swoboda is a scholar working on Cultural Studies, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 352 indexed citations. Recurring topics across this work include Language and cultural evolution (6 papers), Child and Animal Learning Development (5 papers) and Language, Metaphor, and Cognition (5 papers). The work is most often cited by research in Cultural Studies (163 citations), Experimental and Cognitive Psychology (107 citations) and Developmental Biology (16 citations). Nik Swoboda has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Nicolas Fay, Simon Garrod, Gerard Allwein, Leo Roberts, Patrick G. T. Healey, James King, Bradley Walker, Shane L. Rogers, Yasuhiro Katagiri and Richard Cox. Their work appears in journals such as Cognitive Science, International Journal of Human-Computer Studies and Software & Systems Modeling.

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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