Niklas Elmqvist

8.1k total citations
195 papers, 5.3k citations indexed

About

Niklas Elmqvist is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Niklas Elmqvist has authored 195 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Computer Vision and Pattern Recognition, 54 papers in Human-Computer Interaction and 37 papers in Artificial Intelligence. Recurrent topics in Niklas Elmqvist's work include Data Visualization and Analytics (138 papers), Interactive and Immersive Displays (33 papers) and Video Analysis and Summarization (30 papers). Niklas Elmqvist is often cited by papers focused on Data Visualization and Analytics (138 papers), Interactive and Immersive Displays (33 papers) and Video Analysis and Summarization (30 papers). Niklas Elmqvist collaborates with scholars based in United States, Denmark and Sweden. Niklas Elmqvist's co-authors include Jean‐Daniel Fekete, Waqas Javed, Philippas Tsigas, Sriram Karthik Badam, Pierre Dragicevic, Ji Soo Yi, Andrea Batch, Deokgun Park, Sohaib Ghani and Daniel Cernea and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Communications of the ACM.

In The Last Decade

Niklas Elmqvist

182 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niklas Elmqvist United States	39	3.8k	1.2k	1.2k	654	611	195	5.3k
Chris North United States	39	3.8k 1.0×	1.6k 1.3×	1.2k 1.0×	576 0.9×	486 0.8×	203	5.4k
Bongshin Lee United States	42	3.3k 0.9×	1.6k 1.3×	1.5k 1.3×	434 0.7×	1.1k 1.8×	153	6.0k
Tamara Munzner Canada	39	4.8k 1.3×	557 0.5×	1.5k 1.3×	852 1.3×	839 1.4×	115	6.3k
Sheelagh Carpendale Canada	46	4.5k 1.2×	2.7k 2.2×	1.1k 0.9×	536 0.8×	1.1k 1.7×	249	7.0k
Nuria Oliver Spain	37	4.0k 1.0×	802 0.7×	1.9k 1.6×	749 1.1×	660 1.1×	138	8.2k
Steven M. Drucker United States	39	3.3k 0.9×	1.1k 0.9×	1.3k 1.2×	432 0.7×	624 1.0×	111	5.9k
Nathalie Henry Riche United States	32	2.4k 0.6×	797 0.7×	706 0.6×	302 0.5×	657 1.1×	69	3.4k
Petra Isenberg France	33	2.6k 0.7×	983 0.8×	601 0.5×	249 0.4×	581 1.0×	83	3.4k
Jean‐Daniel Fekete France	34	3.7k 1.0×	408 0.3×	1.2k 1.0×	707 1.1×	547 0.9×	119	4.6k
George G. Robertson United States	30	3.0k 0.8×	1.7k 1.4×	920 0.8×	529 0.8×	753 1.2×	50	5.3k

Countries citing papers authored by Niklas Elmqvist

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Elmqvist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Elmqvist

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

All Works

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20 of 20 papers shown

Butcher, Peter, et al.. (2025). DashSpace: A Live Collaborative Platform for Immersive and Ubiquitous Analytics. IEEE Transactions on Visualization and Computer Graphics. 31(10). 7034–7047.

Butcher, Peter, Andrea Batch, David Saffo, et al.. (2024). Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms. IEEE Computer Graphics and Applications. 44(3). 91–98. 2 indexed citations

Peng, Huaishu, et al.. (2024). VisTorch: Interacting with Situated Visualizations using Handheld Projectors. Scopus (Elsevier). 1–13.

Krishnan, Kartik, et al.. (2023). Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations. Information Visualization. 23(1). 21–39.

Batch, Andrea, et al.. (2023). The Reality of the Situation: A Survey of Situated Analytics. IEEE Transactions on Visualization and Computer Graphics. 30(8). 5147–5164. 21 indexed citations

Elmqvist, Niklas, et al.. (2023). Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time. 1–12. 12 indexed citations

Elmqvist, Niklas. (2023). Data Analytics Anywhere and Everywhere. Communications of the ACM. 66(12). 52–63. 12 indexed citations

Park, Deokgun, et al.. (2021). StoryFacets: A design study on storytelling with visualizations for collaborative data analysis. Information Visualization. 21(1). 3–16. 15 indexed citations

Zhou, Ninger, Lorraine Kisselburgh, Senthil Chandrasegaran, et al.. (2019). Using social interaction trace data and context to predict collaboration quality and creative fluency in collaborative design learning environments. International Journal of Human-Computer Studies. 136. 102378–102378. 16 indexed citations

10.

Park, Deokgun, et al.. (2019). Visualizing for the Non‐Visual: Enabling the Visually Impaired to Use Visualization. Computer Graphics Forum. 38(3). 249–260. 86 indexed citations

11.

Batch, Andrea, et al.. (2018). Gesture and Action Discovery for Evaluating Virtual Environments with Semi-Supervised Segmentation of Telemetry Records. 1–10. 3 indexed citations

12.

Elmqvist, Niklas, et al.. (2017). Raising the Bars: Evaluating Treemaps vs. Wrapped Bars for Dense Visualization of Sorted Numeric Data. Graphics Interface. 41–49. 4 indexed citations

13.

Malik, Abish, et al.. (2012). A correlative analysis process in a visual analytics environment. 33–42. 35 indexed citations

14.

Ghani, Sohaib & Niklas Elmqvist. (2011). Improving revisitation in graphs through static spatial features. Graphics Interface. 175–182. 19 indexed citations

15.

Elmqvist, Niklas, Pierre Dragicevic, & Jean‐Daniel Fekete. (2008). Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1141–1148. 277 indexed citations

16.

Elmqvist, Niklas, et al.. (2008). ZAME: Interactive Large-Scale Graph Visualization. SPIRE - Sciences Po Institutional REpository. 215–222. 110 indexed citations

17.

Fekete, Jean‐Daniel, et al.. (2007). Navigating Wikipedia with the Zoomable Adjacency Matrix Explorer. Journal of Chromatography A. 1216(4). 25–58. 2 indexed citations

18.

Elmqvist, Niklas, et al.. (2006). 3DVN: A Mixed Reality Platform for Mobile Navigation Assistance. Chalmers Publication Library (Chalmers University of Technology). 8 indexed citations

19.

Assarsson, Ulf, Niklas Elmqvist, & Philippas Tsigas. (2006). Image-Space Dynamic Transparency for Improved Object Discovery in 3D Environments. Chalmers Publication Library (Chalmers University of Technology). 3 indexed citations

20.

Elmqvist, Niklas & Philippas Tsigas. (2003). 3Dwm: A Platform for Research and Development of Three-Dimensional User Interfaces. Chalmers Publication Library (Chalmers University of Technology). 7 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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