Jari Laarni

135 total papers · 2.7k total citations
57 papers, 1.7k citations indexed

About

Jari Laarni is a scholar working on Human-Computer Interaction, Social Psychology and Literature and Literary Theory. According to data from OpenAlex, Jari Laarni has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Human-Computer Interaction, 16 papers in Social Psychology and 10 papers in Literature and Literary Theory. Recurrent topics in Jari Laarni's work include Virtual Reality Applications and Impacts (12 papers), Media Influence and Health (10 papers) and Human-Automation Interaction and Safety (8 papers). Jari Laarni is often cited by papers focused on Virtual Reality Applications and Impacts (12 papers), Media Influence and Health (10 papers) and Human-Automation Interaction and Safety (8 papers). Jari Laarni collaborates with scholars based in Finland, Norway and Germany. Jari Laarni's co-authors include Niklas Ravaja, Timo Saari, Mikko Salminen, Tilo Hartmann, Ana Sacau, Kari Kallinen, Feliz Ribeiro Gouveia, Holger Schramm, Saskia Böcking and Peter Vorderer and has published in prestigious journals such as Computers in Human Behavior, Psychophysiology and Frontiers in Psychology.

In The Last Decade

Jari Laarni

51 papers receiving 1.6k citations

Hit Papers

A Process Model of the Fo... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jari Laarni 846 449 436 379 278 57 1.7k
Timo Saari 860 1.0× 468 1.0× 563 1.3× 426 1.1× 325 1.2× 53 2.0k
Carrie Heeter 866 1.0× 464 1.0× 765 1.8× 350 0.9× 365 1.3× 57 2.3k
James J. Cummings 874 1.0× 350 0.8× 449 1.0× 309 0.8× 168 0.6× 36 1.8k
Rabindra Ratan 675 0.8× 605 1.3× 974 2.2× 284 0.7× 338 1.2× 79 2.4k
Holger Schramm 651 0.8× 420 0.9× 880 2.0× 992 2.6× 132 0.5× 68 2.2k
Charlene Jennett 748 0.9× 295 0.7× 616 1.4× 202 0.5× 606 2.2× 31 2.0k
Alice Chirico 545 0.6× 638 1.4× 358 0.8× 469 1.2× 142 0.5× 81 2.0k
David Weibel 482 0.6× 313 0.7× 497 1.1× 239 0.6× 275 1.0× 47 1.6k
Sun Joo Ahn 857 1.0× 597 1.3× 868 2.0× 541 1.4× 200 0.7× 66 2.4k
Mikko Salminen 478 0.6× 383 0.9× 380 0.9× 243 0.6× 275 1.0× 45 1.5k

Countries citing papers authored by Jari Laarni

Since Specialization
Citations

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

Fields of papers citing papers by Jari Laarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Laarni

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

All Works

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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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