Purvi Saraiya
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- Data Visualization and Analytics 7
- Human-Computer Interaction top 5%
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- Teaching and Learning Programming 3
- Online Learning and Analytics 2
- Biophysics top 5%
- Cell Image Analysis Techniques 3
- Ecological Modeling top 10%
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 3
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- Software Engineering Research 2
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- Complex Network Analysis Techniques 2
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Science Applications
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Information Visualization (2 papers)ACM SIGCSE Bulletin (1 paper)
- Partner nations
- United States
In The Last Decade
Purvi Saraiya
13 papers receiving 611 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 464
- Human-Computer Interaction 82
- Computer Science Applications 74
- Biophysics 56
- Ecological Modeling 33
Countries citing papers authored by Purvi Saraiya
This map shows the geographic impact of Purvi Saraiya'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 Purvi Saraiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purvi Saraiya more than expected).
Fields of papers citing papers by Purvi Saraiya
This network shows the impact of papers produced by Purvi Saraiya. 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 Purvi Saraiya. The network helps show where Purvi Saraiya may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Purvi Saraiya, 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 | 2020 | 5 | |
| 2 | 2011 | 28 | |
| 3 | 2010 | 7 | |
| 4 | 2006 | 92 | |
| 5 | 2006 | 39 | |
| 6 | 2005 | 220 | |
| 7 | 2005 | 43 | |
| 8 | 2005 | 76 | |
| 9 | 2004 | 68 | |
| 10 | 2004 | 29 | |
| 11 | 2004 | 36 | |
| 12 | Learning and Retention in Data Structures: A Comparison of Visualization, Text, and Combined Methods | 2002 | 12 |
| 13 | Visualizing Communication Timelines Containing Sparsely Distributed Clusters | 2001 | 2 |
About Purvi Saraiya
Purvi Saraiya is a scholar working on Computer Science Applications, Biophysics, Human-Computer Interaction, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 13 papers that have together received 657 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Bioinformatics and Genomic Networks (5 papers), Teaching and Learning Programming (3 papers), Cell Image Analysis Techniques (3 papers), Gene expression and cancer classification (3 papers), Online Learning and Analytics (2 papers), Software Engineering Research (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (464 citations), Human-Computer Interaction (82 citations), Computer Science Applications (74 citations), Biophysics (56 citations) and Ecological Modeling (33 citations). Purvi Saraiya has collaborated with scholars based in United States. Frequent co-authors include Chris North, Karen Duca, Vy Lam, Clifford A. Shaffer, D. Scott McCrickard and Mustafa Al-Chalabi. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, ACM SIGCSE Bulletin, Cureus and EdMedia: World Conference on Educational Media and Technology.
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.