Gig Searle

790 total citations
6 papers, 152 citations indexed

About

Gig Searle is a scholar working on Computer Vision and Pattern Recognition, Demography and Human-Computer Interaction. According to data from OpenAlex, Gig Searle has authored 6 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Demography and 2 papers in Human-Computer Interaction. Recurrent topics in Gig Searle's work include Technology Use by Older Adults (2 papers), Human-Automation Interaction and Safety (1 paper) and Speech and dialogue systems (1 paper). Gig Searle is often cited by papers focused on Technology Use by Older Adults (2 papers), Human-Automation Interaction and Safety (1 paper) and Speech and dialogue systems (1 paper). Gig Searle collaborates with scholars based in Austria, China and Spain. Gig Searle's co-authors include Andreas Holzinger, Wolfgang Slany, Thomas Kleinberger, S. Prückner, Bernhard Peischl, Matjaž Debevc and Erich Sorantin and has published in prestigious journals such as Universal Access in the Information Society, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and University of Maribor digital library (University of Maribor).

In The Last Decade

Gig Searle

6 papers receiving 150 citations

Peers

Gig Searle
Comparison fields: 5 of 58
  • Information Systems 33
  • Human-Computer Interaction 30
  • Computer Vision and Pattern Recognition 29
  • Information Systems and Management 29
  • Sociology and Political Science 25
Replace Jaana Leikas with:
Jaana Leikas Finland
Patricia Boechler Canada
Heiko Hornung Brazil
Mouldi Sagar France
Whitney Quesenbery United States
Pier Luigi Emiliani Italy
Ilona Buchem Germany
Hartmut Wandke Germany
Olga Kulyk Netherlands
Amber Lancaster United States
Jaana Leikas Finland View profile →
Citations per field, relative to Gig Searle
Gig Searle · 1×
Citations per year, relative to Gig Searle
Gig Searle · 1×

Countries citing papers authored by Gig Searle

Since Specialization
Citations

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

Fields of papers citing papers by Gig Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gig Searle

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

All Works

6 of 6 papers shown
# Work Indexed citations
1
An answer to "Who needs a stylus?" on handwriting recognition on mobile device
3
2 21
3 86
4 38
5
B.17 CARDIAC at VIEW: The User Centered Development of a new Medical Image Viewer
3
6
Speech Recognition in daily Hospital practice: Human-Computer Interaction Lessons learned
1

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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