Robert LiKamWa

1.5k total citations
48 papers, 1.0k citations indexed

About

Robert LiKamWa is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Human-Computer Interaction. According to data from OpenAlex, Robert LiKamWa has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 16 papers in Human-Computer Interaction. Recurrent topics in Robert LiKamWa's work include CCD and CMOS Imaging Sensors (15 papers), Virtual Reality Applications and Impacts (10 papers) and Advanced Memory and Neural Computing (8 papers). Robert LiKamWa is often cited by papers focused on CCD and CMOS Imaging Sensors (15 papers), Virtual Reality Applications and Impacts (10 papers) and Advanced Memory and Neural Computing (8 papers). Robert LiKamWa collaborates with scholars based in United States, China and Singapore. Robert LiKamWa's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Sensors.

In The Last Decade

Robert LiKamWa

46 papers receiving 1.0k citations

Peers

Robert LiKamWa
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
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Kiran K. Rachuri United Kingdom View profile →
Citations per field, relative to Robert LiKamWa
Robert LiKamWa · 1×
Citations per year, relative to Robert LiKamWa
Robert LiKamWa · 1×

Countries citing papers authored by Robert LiKamWa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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