Ganix Lasa

926 total citations · 1 hit paper
32 papers, 500 citations indexed

About

Ganix Lasa is a scholar working on Human-Computer Interaction, Social Psychology and Marketing. According to data from OpenAlex, Ganix Lasa has authored 32 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Human-Computer Interaction, 12 papers in Social Psychology and 9 papers in Marketing. Recurrent topics in Ganix Lasa's work include Innovative Human-Technology Interaction (8 papers), Service and Product Innovation (7 papers) and Digital Transformation in Industry (6 papers). Ganix Lasa is often cited by papers focused on Innovative Human-Technology Interaction (8 papers), Service and Product Innovation (7 papers) and Digital Transformation in Industry (6 papers). Ganix Lasa collaborates with scholars based in Spain, Italy and United Kingdom. Ganix Lasa's co-authors include Félix Larrinaga, Angela Carrera-Rivera, William Ochoa, Ion Iriarte, Hien Ngoc Nguyen, Daniel Justel, Jon Kepa Gerrikagoitia, Francesca Montagna, Carlos Cernuda and Urko Zurutuza and has published in prestigious journals such as Computers in Human Behavior, Sustainability and Scientific Data.

In The Last Decade

Ganix Lasa

30 papers receiving 469 citations

Hit Papers

How-to conduct a systemat... 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. How-to conduct a systematic literature review: A quick guide for computer science research
    2022 204 citations Angela Carrera-Rivera, William Ochoa et al. MethodsX profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganix Lasa Spain 9 107 68 50 49 48 32 500
Danni Chang China 12 97 0.9× 88 1.3× 97 1.9× 24 0.5× 13 0.3× 38 491
Egīls Ginters Latvia 11 103 1.0× 27 0.4× 22 0.4× 56 1.1× 53 1.1× 69 440
Hamish McAlpine United Kingdom 13 147 1.4× 59 0.9× 50 1.0× 52 1.1× 45 0.9× 37 629
Kosa Goucher-Lambert United States 12 68 0.6× 148 2.2× 36 0.7× 32 0.7× 21 0.4× 64 710
Marja Liinasuo Finland 10 160 1.5× 102 1.5× 19 0.4× 22 0.4× 38 0.8× 47 477
Xing Su China 18 62 0.6× 77 1.1× 34 0.7× 20 0.4× 20 0.4× 49 836
Dongping Cao China 23 99 0.9× 215 3.2× 44 0.9× 38 0.8× 78 1.6× 51 1.8k
Alison Olechowski Canada 13 102 1.0× 39 0.6× 20 0.4× 58 1.2× 58 1.2× 62 658
Sebastian Schlund Austria 14 337 3.1× 74 1.1× 22 0.4× 34 0.7× 85 1.8× 63 614
Tuba Kocatürk Australia 9 52 0.5× 41 0.6× 34 0.7× 33 0.7× 18 0.4× 42 465

Countries citing papers authored by Ganix Lasa

Since Specialization
Citations

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

Fields of papers citing papers by Ganix Lasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganix Lasa

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

All Works

20 of 20 papers shown
1.
Lasa, Ganix, et al.. (2025). Evaluating the Effect of Speed and Acceleration on Human Factors during an Assembly Task in Human–Robot Interaction (HRI). International Journal of Social Robotics. 17(2). 211–256. 1 indexed citations
2.
3.
Lasa, Ganix, et al.. (2025). The user experience in industrial human-robot interaction: A comparative analysis of Unimodal and Multimodal interfaces for disassembly tasks. Robotics and Computer-Integrated Manufacturing. 95. 103045–103045. 2 indexed citations
4.
Carrera-Rivera, Angela, et al.. (2024). AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems. User Modeling and User-Adapted Interaction. 34(5). 1929–1980. 1 indexed citations
5.
6.
Carrera-Rivera, Angela, et al.. (2023). Structured dataset of human-machine interactions enabling adaptive user interfaces. Scientific Data. 10(1). 831–831. 3 indexed citations
7.
Lasa, Ganix, et al.. (2023). Evaluation of User Experience in Human–Robot Interaction: A Systematic Literature Review. International Journal of Social Robotics. 15(2). 187–210. 31 indexed citations
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9.
Nguyen, Hien Ngoc, et al.. (2022). An overview of Industry 4.0 Applications for Advanced Maintenance Services. Procedia Computer Science. 200. 803–810. 10 indexed citations
10.
Carrera-Rivera, Angela, Félix Larrinaga, & Ganix Lasa. (2022). Context-awareness for the design of Smart-product service systems: Literature review. Computers in Industry. 142. 103730–103730. 53 indexed citations
11.
Carrera-Rivera, Angela, William Ochoa, Félix Larrinaga, & Ganix Lasa. (2022). How-to conduct a systematic literature review: A quick guide for computer science research. MethodsX. 9. 101895–101895. 204 indexed citations breakdown →
12.
Nguyen, Hien Ngoc, et al.. (2022). Human-centered design for advanced services: A multidimensional design methodology. Advanced Engineering Informatics. 53. 101720–101720. 13 indexed citations
13.
Nguyen, Hien Ngoc, Ganix Lasa, & Ion Iriarte. (2021). Human-centred design in industry 4.0: case study review and opportunities for future research. Journal of Intelligent Manufacturing. 33(1). 35–76. 86 indexed citations
14.
Lasa, Ganix, et al.. (2021). EVALUATING USER EXPERIENCE WITH PHYSIOLOGICAL MONITORING: A SYSTEMATIC LITERATURE REVIEW. 8(1). [20 p.]–[20 p.]. 9 indexed citations
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Justel, Daniel, et al.. (2019). A New Method to Evaluate Good Design for Brand Recognition in the Digital World. The Design Journal. 22(sup1). 1957–1971. 1 indexed citations
17.
Lasa, Ganix, et al.. (2019). HEMEI. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–2. 1 indexed citations
18.
Lasa, Ganix, et al.. (2017). Next generation of tools for industry to evaluate the user emotional perception: the biometric-based multimethod tools. The Design Journal. 20(sup1). S2771–S2777. 3 indexed citations
19.
Lasa, Ganix. (2015). Etxean jakiak hobeto aprobetxatzeko produktu berri baten diseinua: Esperientzien diseinua ardatz hartuta. eRepository Mondragon University (Mondragon University). 1 indexed citations
20.
Lasa, Ganix, et al.. (2015). Eyeface: A new multimethod tool to evaluate the perception of conceptual user experiences. Computers in Human Behavior. 52. 359–363. 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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