Robert LiKamWa
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Experimental and Cognitive Psychology top 5%
- Human-Computer Interaction top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Lin ZhongNicholas D. LaneYunxin LiuZhen WangFelix Xiaozhu LinBodhi PriyanthaMatthai PhiliposeParamvir Bahl
- Topics
- CCD and CMOS Imaging Sensors (15 papers)Virtual Reality Applications and Impacts (10 papers)Advanced Memory and Neural Computing (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEESensors
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Robert LiKamWa
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 414
- Electrical and Electronic Engineering 388
- Experimental and Cognitive Psychology 171
- Human-Computer Interaction 168
- Computer Networks and Communications 165
Countries citing papers authored by Robert LiKamWa
This map shows the geographic impact of Robert LiKamWa'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 Robert LiKamWa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert LiKamWa more than expected).
Fields of papers citing papers by Robert LiKamWa
This network shows the impact of papers produced by Robert LiKamWa. 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 Robert LiKamWa. The network helps show where Robert LiKamWa may publish in the future.
Co-authorship network of co-authors of Robert LiKamWa
This figure shows the co-authorship network connecting the top 25 collaborators of Robert LiKamWa. A scholar is included among the top collaborators of Robert LiKamWa 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 Robert LiKamWa. Robert LiKamWa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion | 5 |
| 17 | 47 | |
| 18 | 128 | |
| 19 | 1 | |
| 20 | 75 |
About Robert LiKamWa
Robert LiKamWa is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (15 papers), Virtual Reality Applications and Impacts (10 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Human-Computer Interaction (168 citations), Applied Psychology (126 citations) and Computer Vision and Pattern Recognition (414 citations). Robert LiKamWa has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Lin Zhong, Nicholas D. Lane, Yunxin Liu, Zhen Wang, Felix Xiaozhu Lin, Bodhi Priyantha, Matthai Philipose, Paramvir Bahl, Aaron Carroll and Yunxin Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Sensors.
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.