Lance Long

669 citations
26 papers · 311 indexed · h-index 8

Impact in

Papers in

Lance Long

24 papers receiving 296 citations

Peers

Lance Long
Comparison fields: 5 of 76
  • Human-Computer Interaction 122
  • Computer Graphics and Computer-Aided Design 52
  • Computer Vision and Pattern Recognition 153
  • Information Systems and Management 39
  • Structural Biology 4
Replace Bernd Hentschel with:
Bernd Hentschel Germany
Ronell Sicat Saudi Arabia
Byungil Jeong United States
John T. Kelso United States
Ken Fishkin United States
Kiron Lebeck United States
Kelvin Sung United States
Jiangqin Wu China
Jorge Wagner Brazil
Xiaoming Chen China
Lance Long relative to Bernd Hentschel Germany Bernd Hentschel's profile →
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 201461
3 201531
4 200617
5 202117
6 20197
7
Wide-Area experiments with LambdaStream over dedicated high-bandwidth networks
20067
8 20217
9 20225
10 20234
11 20244
12 20194
13 20223
14 20093
15 20223
16 20193
17 20232
18 20192
19 20102
20 19622

About Lance Long

Lance Long is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction and Sociology and Political Science, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Data Visualization and Analytics (4 papers), Advanced Optical Network Technologies (3 papers), Interactive and Immersive Displays (3 papers), Scientific Computing and Data Management (3 papers), Augmented Reality Applications (3 papers), Virtual Reality Applications and Impacts (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Computer Graphics and Computer-Aided Design (52 citations), Computer Vision and Pattern Recognition (153 citations), Information Systems and Management (39 citations) and Structural Biology (4 citations). Lance Long has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Luc Renambot, Andrew Johnson, Jason Leigh, Arthur Nishimoto, Maxine Brown, Tom Peterka, Alessandro Febretti, Ahmed E. Kamal, Vitaliy Yurkiv and Mahmoud Tamadoni Saray. Their work appears in journals such as Future Generation Computer Systems, npj Computational Materials, Obstetrical & Gynecological Survey, Proceedings of the ACM on Human-Computer Interaction and The Aeronautical Journal.

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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