Ganix Lasa

926 citations
32 papers · 500 indexed · 1 hit paper · h-index 9

Ganix Lasa

30 papers receiving 469 citations

Hit Papers

How-to conduct a systematic literature review: A quick gu...2022202620232024202250100150200

Peers

Ganix Lasa
Comparison fields: 5 of 117
  • Industrial and Manufacturing Engineering 107
  • Social Psychology 68
  • Marketing 50
  • Information Systems 49
  • Management Information Systems 48
Replace Andreas Riel with:
Andreas Riel France
Alison Olechowski Canada
Xuefeng Zhang China
Jhonattan Miranda Mexico
Rémy Houssin France
Dongping Cao China
M.A. Sinclair United Kingdom
Egīls Ginters Latvia
Sandra Matarneh Jordan
Sebastian Schlund Austria
Ganix Lasa relative to Andreas Riel France Andreas Riel's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 3
2 1
3 2
4 1
5 9
6 3
7 8
8 31
9
How-to conduct a systematic literature review: A quick guide for computer science researchbreakdown →
204
10 10
11 53
12 86
13 9
14 3
15 1
16 1
17 3
18 7
19 1
20
[Teaching of communication and interviewing techniques: the need for a unifying model].
2

About Ganix Lasa

Ganix Lasa is a scholar working on Human-Computer Interaction, Marketing and Management of Technology and Innovation, having authored 32 papers that have together received 500 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (8 papers), Service and Product Innovation (7 papers) and Digital Transformation in Industry (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (107 citations), Human-Computer Interaction (42 citations) and Management of Technology and Innovation (43 citations). Ganix Lasa has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Angela Carrera-Rivera, Félix Larrinaga, William Ochoa, Ion Iriarte, Hien Ngoc Nguyen, Daniel Justel, Francesca Montagna, Jon Kepa Gerrikagoitia, Javier Garcı́a-Campayo and Carlos Cernuda. Their work appears in journals such as Computers in Human Behavior, Sustainability and Scientific Data.

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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