Michael R. Marner

405 citations
21 papers · 258 · h-index 9

Impact in

Papers in

Michael R. Marner

20 papers receiving 241 citations

Peers

Michael R. Marner
Comparison fields: 5 of 38
  • Human-Computer Interaction 186
  • Computer Vision and Pattern Recognition 227
  • Computer Graphics and Computer-Aided Design 22
  • Automotive Engineering 49
  • Geology 19
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Citations per year

Countries citing papers authored by Michael R. Marner

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Marner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Marner. 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 Michael R. Marner. The network helps show where Michael R. Marner may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael R. Marner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael R. Marner Line = papers co-authored together Michael R. Marner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201350
2 201036
3 201433
4 200927
5 201021
6 201418
7 201015
8 200912
9 201110
10 20128
11 20155
12 20115
13 20133
14 20133
15 20153
16 20123
17 20142
18 20092
19 20121
20
Spatial augmented reality user interface techniques for room size modelling tasks
20141

About Michael R. Marner

Michael R. Marner is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Automotive Engineering, Computer Graphics and Computer-Aided Design and Geology, having authored 21 papers that have together received 258 indexed citations. Recurring topics across this work include Augmented Reality Applications (19 papers), Interactive and Immersive Displays (15 papers), Virtual Reality Applications and Impacts (7 papers), Spatial Cognition and Navigation (5 papers), Computer Graphics and Visualization Techniques (4 papers), 3D Surveying and Cultural Heritage (3 papers), Tactile and Sensory Interactions (2 papers) and Coral and Marine Ecosystems Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (186 citations), Computer Vision and Pattern Recognition (227 citations), Computer Graphics and Computer-Aided Design (22 citations), Automotive Engineering (49 citations) and Geology (19 citations). Michael R. Marner has collaborated with scholars based in Australia, South Korea and Germany. Frequent co-authors include Bruce H. Thomas, Ross Smith, Andrew Irlitti, Christian Sandor, James A. Walsh, Arindam Dey, Ulrich Eck, Andrew Cunningham, Karsten Klein and Stewart Von Itzstein. Their work appears in journals such as ITE Transactions on Media Technology and Applications, Zoosystematics and Evolution, IEEE Computer Graphics and Applications, UniSA Research Outputs Repository (University of South Australia) and eCite Digital Repository (University of Tasmania).

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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