Ray Lc

1.3k citations
83 papers · 659 · 1 hit paper · h-index 15

Impact in

Papers in

Ray Lc

68 papers receiving 649 citations

Ray Lc's Hit Papers

When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task 2024 · 54 citations
540+1Years since publication1020304050

Peers

Ray Lc
Comparison fields: 5 of 80
  • Human-Computer Interaction 179
  • Communication 66
  • Museology 27
  • Conservation 24
  • Computer Vision and Pattern Recognition 131
Replace Kasper Rodil with:
Kasper Rodil Denmark
Rigas Kotsakis Greece
Angeliki Antoniou Greece
Ernest Edmonds Australia
Isabel Pedersen Canada
Kirsten R. Butcher United States
Margaret H. Szymanski United States
Sarah Whatley United Kingdom
Eric Poitras Canada
Haakon Faste United States
Ray Lc relative to Kasper Rodil Denmark Kasper Rodil's profile →
Citations per field
00.5×6.6×
Kasper Rodil · 1×
Citations per year

Countries citing papers authored by Ray Lc

Since Specialization
Citations

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

Fields of papers citing papers by Ray Lc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ray Lc, 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 Ray Lc Line = papers co-authored together Ray Lc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task
Hit paper breakdown →
202454
2 202136
3 202236
4 202328
5 202323
6 202422
7 202219
8 202119
9 202319
10 202317
11 202416
12 202416
13 202416
14 202415
15 202115
16 202314
17 202314
18 202313
19 202213
20 202212

About Ray Lc

Ray Lc is a scholar working on Human-Computer Interaction, Sociology and Political Science, Social Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 659 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (17 papers), Virtual Reality Applications and Impacts (12 papers), Social Robot Interaction and HRI (10 papers), Climate Change Communication and Perception (9 papers), Media Influence and Health (6 papers), Aesthetic Perception and Analysis (5 papers), Educational Games and Gamification (5 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Communication (66 citations), Museology (27 citations), Conservation (24 citations) and Computer Vision and Pattern Recognition (131 citations). Ray Lc has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Xin Tong, Wendy Ju, Zhuoyang Li, Yuhan Luo, Xinru Tang, Zhicong Lu, Nikolas Martelaro, David Sirkin, J.D. Zamfirescu-Pereira and Yuling Sun. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Interaction, Frontiers in Psychology, Lecture notes in computer science and Frontiers in Physiology.

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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