Rachel Huang

1.5k citations
10 papers · 473 indexed · h-index 3
Topics
Image and Video Quality Assessment (2 papers)Virtual Reality Applications and Impacts (2 papers)Economic and Environmental Valuation (1 paper)

In The Last Decade

Rachel Huang

7 papers receiving 403 citations

Peers

Rachel Huang
Comparison fields: 5 of 82
  • Global and Planetary Change 142
  • Plant Science 126
  • Ecology, Evolution, Behavior and Systematics 80
  • Management, Monitoring, Policy and Law 80
  • Economics and Econometrics 79
Replace Felipe Librán‐Embid with:
Felipe Librán‐Embid Germany
Rodrigo Martínez‐Sastre Spain
Adrian W. Leach United Kingdom
Felix Klaus Germany
Fabrizio Ferretti Italy
Bambang Irawan Indonesia
Flávia Moreira Mota e Mota United Kingdom
Ciro Abbud Righi Brazil
Bert Van Gils Belgium
Bester Tawona Mudereri Kenya
Rachel Huang relative to Felipe Librán‐Embid Germany Felipe Librán‐Embid's profile →
Citations per field
00.5×10×15×21×
Felipe Librán‐Embid · 1×
Citations per year

Countries citing papers authored by Rachel Huang

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Huang. A scholar is included among the top collaborators of Rachel Huang 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 Rachel Huang. Rachel Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 12
3 2
4 13
5
Considerations for Selecting RTCP Extended Report (XR) Metrics for the RTCWEB Statistics API
1
6
Survey of WebRTC based P2P Streaming
2
7 1
8
Problem Statement for HTTP Streaming
2
9 1
10 439

About Rachel Huang

Rachel Huang is a scholar working on Human-Computer Interaction, Music and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 473 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (2 papers), Virtual Reality Applications and Impacts (2 papers) and Economic and Environmental Valuation (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (80 citations), Global and Planetary Change (142 citations) and Insect Science (72 citations). Rachel Huang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David Pimentel, Tamara Saltman, Barbara Cliff, Jessica C. Flack, Quynh K. Tran, Christine McCullum, Stephan Fremerey, David Rempel, Carisa Harris‐Adamson and Steve Göring. Their work appears in journals such as Scientific Reports, BioScience and Virtual Reality & Intelligent Hardware.

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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