Gary V. Yee

1.8k citations
8 papers · 1.3k · 1 hit paper · h-index 5

Impact in

Papers in

Gary V. Yee

6 papers receiving 1.2k citations

Gary V. Yee's Hit Papers

X-MAC 2006 · 1.2k citations
1.2k0+6+13Years since publication4008001.2k

Peers

Gary V. Yee
Comparison fields: 5 of 33
  • Computer Networks and Communications 1.2k
  • Electrical and Electronic Engineering 813
  • Biomedical Engineering 155
  • Computer Vision and Pattern Recognition 66
  • Ocean Engineering 32
Replace A. El-Hoiydi with:
A. El-Hoiydi Switzerland
Kai‐Wei Fan United States
Mickael Maman France
Pouria Zand Netherlands
Brecht Reynders Belgium
Henri Dubois-Ferrière Switzerland
Pranesh Sthapit South Korea
Athanasios Kinalis Greece
Frederik Hermans Sweden
Gary V. Yee relative to A. El-Hoiydi Switzerland A. El-Hoiydi's profile →
Citations per field
00.5×2.8×
A. El-Hoiydi · 1×
Citations per year

Countries citing papers authored by Gary V. Yee

Since Specialization
Citations

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

Fields of papers citing papers by Gary V. Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary V. Yee. 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 Gary V. Yee. The network helps show where Gary V. Yee may publish in the future.

Co-authors

The 8 scholars most cited alongside Gary V. Yee, 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 Gary V. Yee Line = papers co-authored together Gary V. Yee links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
X-MAC
Hit paper breakdown →
20061210
2 200717
3
X-MAC: A Short Preamble MAC Protocol for Duty-Cycled Wireless Sensor Networks ; CU-CS-1008-06
200614
4 200913
5 20077
6
Ordering and combinatorial effects of wireless optimizations in beam forming 802.11 wlans
20101
7
Wireless Networking Optimizations for Studying Algorithm Interactions ; CU-CS-1070-10
20100
8 20100

About Gary V. Yee

Gary V. Yee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Biomedical Engineering and Infectious Diseases, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced MIMO Systems Optimization (3 papers), Energy Harvesting in Wireless Networks (2 papers), Advanced Wireless Network Optimization (2 papers), Mobile Ad Hoc Networks (2 papers), Antenna Design and Analysis (2 papers) and Cooperative Communication and Network Coding (1 paper). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Electrical and Electronic Engineering (813 citations), Biomedical Engineering (155 citations), Computer Vision and Pattern Recognition (66 citations) and Ocean Engineering (32 citations). Gary V. Yee has collaborated with scholars based in United States. Frequent co-authors include Eric Anderson, Michael Buettner, Richard Han, Douglas Sicker, Dirk Grunwald, Caleb Phillips, Dola Saha and Anmol Sheth. Their work appears in journals such as CU Scholar (University of Colorado Boulder) and CU Scholar (University of Colorado Boulder).

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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