Lance Long

23 papers receiving 484 citations

Peers

Lance Long
Comparison fields: 5 of 71
  • Human-Computer Interaction 213
  • Computer Graphics and Computer-Aided Design 98
  • Computer Vision and Pattern Recognition 197
  • Computer Networks and Communications 64
  • Hardware and Architecture 22
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Robert Ball United States
Chao Yi Peng United States
Veysi İşler Türkiye
Jan Ohlenburg Germany
Kiron Lebeck United States
Omar Aziz Niamut Netherlands
Olivier Chapuis France
Simon N. B. Gunkel Netherlands
Jaewon Kim South Korea
Kenny Gruchalla United States
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Citations per field
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Citations per year

Countries citing papers authored by Lance Long

Since Specialization
Citations

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

Fields of papers citing papers by Lance Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 201479
3 201073
4 200853
5 201533
6 200624
7 202119
8 200617
9
Wide-Area experiments with LambdaStream over dedicated high-bandwidth networks
20069
10 20198
11 20218
12 20247
13 20226
14 20194
15 20193
16 20223
17 20192
18 20222
19 20222
20 20232

About Lance Long

Lance Long is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 24 papers that have together received 504 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Computer Graphics and Visualization Techniques (7 papers), Interactive and Immersive Displays (7 papers), Data Visualization and Analytics (5 papers), Cloud Computing and Resource Management (4 papers), Virtual Reality Applications and Impacts (3 papers), Scientific Computing and Data Management (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Human-Computer Interaction (213 citations), Computer Graphics and Computer-Aided Design (98 citations), Computer Vision and Pattern Recognition (197 citations), Computer Networks and Communications (64 citations) and Hardware and Architecture (22 citations). Lance Long has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include Luc Renambot B, Jason Leigh, Andrew E. Johnson, Arthur Nishimoto, Maxine D. Brown, Alan Verlo, Daniel J. Sandin, Tom Peterka, Alessandro Febretti and Marco Ragone. Their work appears in journals such as Future Generation Computer Systems, Computing in Science & Engineering, PRESENCE Virtual and Augmented Reality, Computational Materials Science and Proceedings of the ACM on Human-Computer Interaction.

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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