Lance Good

577 citations
13 papers · 336 indexed · h-index 7

Lance Good

13 papers receiving 298 citations

Peers

Lance Good
Comparison fields: 5 of 52
  • Human-Computer Interaction 152
  • Computer Vision and Pattern Recognition 210
  • Information Systems and Management 31
  • Signal Processing 40
  • Computer Graphics and Computer-Aided Design 12
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David Carr United States
Samuel Huron France
C. Lewis United States
Beth Yost United States
Sriram Karthik Badam United States
Mikkel R. Jakobsen Denmark
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Curtis Wong United States
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William C. Janssen United States
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Citations per field
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Citations per year

Countries citing papers authored by Lance Good

Since Specialization
Citations

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

Fields of papers citing papers by Lance Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Lance Good, 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 Good Line = papers co-authored together Lance Good links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20201
2 20111
3 20058
4 20042
5 200417
6 200378
7 20021
8 20025
9 20021
10 200244
11 20028
12
CounterPoint: Creating Jazzy Interactive Presentations
20017
13 2000163

About Lance Good

Lance Good is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Information Systems and Management and Information Systems, having authored 13 papers that have together received 336 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Interactive and Immersive Displays (4 papers), Computer Graphics and Visualization Techniques (4 papers), Multimedia Communication and Technology (4 papers), Usability and User Interface Design (3 papers), Personal Information Management and User Behavior (2 papers), Augmented Reality Applications (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (152 citations), Computer Vision and Pattern Recognition (210 citations), Information Systems and Management (31 citations), Signal Processing (40 citations) and Computer Graphics and Computer-Aided Design (12 citations). Lance Good has collaborated with scholars based in United States. Frequent co-authors include Benjamin B. Bederson, Jon Meyer, Mark Stefik, Patrick Baudisch, Polle T. Zellweger, Jock D. Mackinlay, Eric A. Bier, Kris Popat, William C. Janssen and Ashok C. Popat. Their work appears in journals such as Information Visualization, The FASEB Journal, Proceedings of the AAAI Conference on Artificial Intelligence and Digital Repository at the University of Maryland (University of Maryland College Park).

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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