Nico Pallamin

813 total citations · 1 hit paper
9 papers, 439 citations indexed

About

Nico Pallamin is a scholar working on Human-Computer Interaction, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nico Pallamin has authored 9 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Human-Computer Interaction, 2 papers in Social Psychology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nico Pallamin's work include Virtual Reality Applications and Impacts (7 papers), Human Motion and Animation (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Nico Pallamin is often cited by papers focused on Virtual Reality Applications and Impacts (7 papers), Human Motion and Animation (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Nico Pallamin collaborates with scholars based in France. Nico Pallamin's co-authors include Sheila Matson-Barkat, Sarah Hudson, Martin Ragot, Nicolas Martin, Julie Dugdale, Bernard Pavard, Cyril Bossard, Béatrice Cochener, Vincent Nourrit and Stéphane Paquelet and has published in prestigious journals such as Journal of Business Research, Simulation & Gaming and IFAC-PapersOnLine.

In The Last Decade

Nico Pallamin

8 papers receiving 427 citations

Hit Papers

With or without you? Interaction and immersion in a virtu... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nico Pallamin France 7 247 144 93 85 67 9 439
Sheila Matson-Barkat France 5 194 0.8× 174 1.2× 123 1.3× 57 0.7× 47 0.7× 5 405
Jane Prophet United Kingdom 6 342 1.4× 84 0.6× 73 0.8× 57 0.7× 181 2.7× 16 564
Erik Nilsen United States 12 194 0.8× 91 0.6× 65 0.7× 91 1.1× 57 0.9× 23 489
Axel Platz Germany 5 156 0.6× 72 0.5× 39 0.4× 75 0.9× 65 1.0× 12 319
Matthias Laschke Germany 12 243 1.0× 90 0.6× 31 0.3× 106 1.2× 21 0.3× 39 428
Kai‐Christoph Hamborg Germany 9 104 0.4× 67 0.5× 47 0.5× 64 0.8× 39 0.6× 23 319
Anders Bruun Denmark 13 184 0.7× 78 0.5× 66 0.7× 42 0.5× 20 0.3× 37 408
Sascha Mahlke Germany 9 353 1.4× 146 1.0× 118 1.3× 267 3.1× 61 0.9× 14 709
Joy Goodman United Kingdom 10 197 0.8× 83 0.6× 62 0.7× 47 0.6× 65 1.0× 20 626
Jared Donovan Australia 10 211 0.9× 90 0.6× 45 0.5× 50 0.6× 31 0.5× 51 417

Countries citing papers authored by Nico Pallamin

Since Specialization
Citations

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

Fields of papers citing papers by Nico Pallamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Pallamin

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

All Works

9 of 9 papers shown
1.
Paquelet, Stéphane, et al.. (2023). An Efficient Deep-Learning-Based Solution for the Recognition of Relative Changes in Mental Workload Using Wearable Sensors. SPIRE - Sciences Po Institutional REpository. 1–4. 2 indexed citations
2.
Pallamin, Nico, et al.. (2021). Impact of virtual reality headset use on eye blinking and lipid layer thickness. Journal Français d Ophtalmologie. 44(7). 1029–1037. 10 indexed citations
3.
Martin, Nicolas, et al.. (2020). Virtual reality sickness detection: an approach based on physiological signals and machine learning. SPIRE - Sciences Po Institutional REpository. 387–399. 32 indexed citations
4.
Hudson, Sarah, et al.. (2018). With or without you? Interaction and immersion in a virtual reality experience. Journal of Business Research. 100. 459–468. 346 indexed citations breakdown →
5.
Martin, Nicolas, et al.. (2018). Automatic recognition of Virtual Reality sickness based on physiological signals. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations
6.
Pallamin, Nico, et al.. (2017). L’évaluation des usages et des comportements en univers immersifs : quelques enjeux actuels. Annales des Mines - Réalités industrielles. Mai 2017(2). 50–53.
7.
Pallamin, Nico & Cyril Bossard. (2016). Presence, Behavioural Realism and Performances in Driving Simulation. IFAC-PapersOnLine. 49(19). 408–413. 11 indexed citations
8.
Dugdale, Julie, Nico Pallamin, & Bernard Pavard. (2006). An assessment of a mixed reality environment: Toward an ethnomethodological approach. Simulation & Gaming. 37(2). 226–244. 7 indexed citations
9.
Dugdale, Julie, et al.. (2004). EMERGENCY FIRE INCIDENT TRAINING IN A VIRTUAL WORLD. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026