Ganix Lasa

81 total papers · 892 total citations
32 papers, 474 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 474 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 Angela Carrera-Rivera, Félix Larrinaga, William Ochoa, Ion Iriarte, Hien Ngoc Nguyen, Daniel Justel, Jon Kepa Gerrikagoitia, Francesca Montagna, Urko Zurutuza and Javier Garcı́a-Campayo 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 445 citations

Hit Papers

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

Author Peers

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

Author Last Decade Papers Cites
Ganix Lasa 103 63 50 48 47 32 474
Philipp Brauner 113 1.1× 58 0.9× 15 0.3× 69 1.4× 42 0.9× 45 481
Marja Liinasuo 159 1.5× 100 1.6× 19 0.4× 38 0.8× 22 0.5× 47 474
Danni Chang 97 0.9× 85 1.3× 97 1.9× 13 0.3× 22 0.5× 38 474
Egīls Ginters 101 1.0× 26 0.4× 22 0.4× 53 1.1× 56 1.2× 68 436
Tuba Kocatürk 54 0.5× 42 0.7× 33 0.7× 18 0.4× 33 0.7× 43 467
Hannah Forbes 46 0.4× 31 0.5× 71 1.4× 119 2.5× 40 0.9× 20 443
David Güemes‐Castorena 60 0.6× 20 0.3× 20 0.4× 37 0.8× 43 0.9× 69 429
Davy Monticolo 169 1.6× 29 0.5× 19 0.4× 88 1.8× 63 1.3× 50 542
H. Albert Napier 72 0.7× 69 1.1× 12 0.2× 96 2.0× 42 0.9× 19 404
Andreas Riel 112 1.1× 15 0.2× 60 1.2× 50 1.0× 81 1.7× 76 476

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

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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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