Heidi Lam
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Human-Computer Interaction top 5%
- Usability and User Interface Design
Papers in
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- Data Visualization and Analytics 14
- Image and Video Quality Assessment 2
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- Multimedia Communication and Technology 4
- Co-authors
- Tamara Munzner (7 shared papers)Patrick Baudisch (1 shared paper)Robert Kincaid (2 shared papers)Sukwon Lee (1 shared paper)Sung-Hee Kim (1 shared paper)Younah Kang (1 shared paper)Ji Soo Yi (1 shared paper)Melanie Tory (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Information Visualization (1 paper)International Journal of Human-Computer Interaction (1 paper)Computer Graphics Forum (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Heidi Lam
17 papers receiving 536 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 407
- Human-Computer Interaction 77
- Signal Processing 94
- Information Systems and Management 52
- Ecological Modeling 23
Countries citing papers authored by Heidi Lam
This map shows the geographic impact of Heidi Lam'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 Heidi Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Lam more than expected).
Fields of papers citing papers by Heidi Lam
This network shows the impact of papers produced by Heidi Lam. 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 Heidi Lam. The network helps show where Heidi Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2005 | 120 | |
| 3 | 2006 | 67 | |
| 4 | 2017 | 55 | |
| 5 | 2007 | 47 | |
| 6 | 2007 | 44 | |
| 7 | 2017 | 21 | |
| 8 | 2010 | 14 | |
| 9 | 2006 | 13 | |
| 10 | 2008 | 13 | |
| 11 | Big Data Storytelling Through Interactive Maps | 2012 | 10 |
| 12 | 2006 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2010 | 2 | |
| 17 | 2008 | 2 |
About Heidi Lam
Heidi Lam is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Signal Processing and Human-Computer Interaction, having authored 17 papers that have together received 559 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Multimedia Communication and Technology (4 papers), Data Management and Algorithms (3 papers), Interactive and Immersive Displays (2 papers), Geographic Information Systems Studies (2 papers), Image and Video Quality Assessment (2 papers), Data Analysis with R (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (407 citations), Human-Computer Interaction (77 citations), Signal Processing (94 citations), Information Systems and Management (52 citations) and Ecological Modeling (23 citations). Heidi Lam has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Tamara Munzner, Patrick Baudisch, Robert Kincaid, Sukwon Lee, Sung-Hee Kim, Younah Kang, Ji Soo Yi, Melanie Tory, Diane Tang and Daniel M. Russell. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, International Journal of Human-Computer Interaction, Computer Graphics Forum and IEEE Data(base) Engineering Bulletin.
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.