Asa MacWilliams

528 citations
16 papers · 282 · h-index 9

Impact in

Papers in

Asa MacWilliams

15 papers receiving 247 citations

Peers

Asa MacWilliams
Comparison fields: 5 of 48
  • Human-Computer Interaction 134
  • Computer Vision and Pattern Recognition 224
  • Computer Networks and Communications 58
  • Computer Graphics and Computer-Aided Design 6
  • Software 6
Replace Manuel Huber with:
Manuel Huber Germany
Jiung-Yao Huang Taiwan
Rob Aspin United Kingdom
Emanuele Marino Italy
Bonny Banerjee United States
Darnell Moore United States
Vincent Charvillat France
Farshid Hassani Bijarbooneh Sweden
Yanbing Xue China
Vítor Fortes Rey Germany
Asa MacWilliams relative to Manuel Huber Germany Manuel Huber's profile →
Citations per field
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Citations per year

Countries citing papers authored by Asa MacWilliams

Since Specialization
Citations

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

Fields of papers citing papers by Asa MacWilliams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Asa MacWilliams, 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 Asa MacWilliams Line = papers co-authored together Asa MacWilliams links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2002100
2 200542
3 200540
4
Design Patterns for Augmented Reality Systems.
200424
5 200421
6 200310
7
SHEEP: The Shared Environment Entertainment Pasture
20029
8 20129
9 20038
10 20066
11
Fundamentals of Ubiquitous Tracking
20044
12 20223
13
Using Ad-Hoc Services for Mobile Augmented Reality Systems
20012
14
Fundamentals of Ubiquitous Tracking for Augmented Reality
20032
15 20121
16 20111

About Asa MacWilliams

Asa MacWilliams is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Sociology and Political Science and Information Systems, having authored 16 papers that have together received 282 indexed citations. Recurring topics across this work include Augmented Reality Applications (9 papers), Context-Aware Activity Recognition Systems (6 papers), Interactive and Immersive Displays (4 papers), IoT and Edge/Fog Computing (4 papers), Virtual Reality Applications and Impacts (2 papers), Multimedia Communication and Technology (2 papers), Data Management and Algorithms (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Human-Computer Interaction (134 citations), Computer Vision and Pattern Recognition (224 citations), Computer Networks and Communications (58 citations), Computer Graphics and Computer-Aided Design (6 citations) and Software (6 citations). Asa MacWilliams has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Gudrun Klinker, Martin Bauer, Martin Wagner, Christian Sandor, Bernd Bruegge, Andreas Butz, Christoph Endres, Bernd Brügge, Dieter Schmalstieg and Thomas Pintaric. Their work appears in journals such as PLoS ONE, IEEE Distributed Systems Online, Mobile Information Systems and mediaTUM (Technical University of Munich).

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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