S. Havre

1.3k total citations · 1 hit paper
13 papers, 885 citations indexed

About

S. Havre is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, S. Havre has authored 13 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in S. Havre's work include Data Visualization and Analytics (10 papers), Bioinformatics and Genomic Networks (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). S. Havre is often cited by papers focused on Data Visualization and Analytics (10 papers), Bioinformatics and Genomic Networks (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). S. Havre collaborates with scholars based in United States and France. S. Havre's co-authors include Lucy Nowell, Elizabeth Hetzler, Paul Whitney, Beth Hetzler, Nancy E. Miller, Kenneth A. Perrine, Anuj Shah, Christian Posse, Alan Turner and J. Joshua Thomas and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Visualization and Computer Graphics and IEEE Computer Graphics and Applications.

In The Last Decade

S. Havre

13 papers receiving 829 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ThemeRiver: visualizing thematic changes in large document collections

2002 463 citations S. Havre, Elizabeth Hetzler et al. IEEE Transactions on Visualization and Computer Graphics profile →

Peers

Countries citing papers authored by S. Havre

Since Specialization

Citations

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

Fields of papers citing papers by S. Havre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Havre

This figure shows the co-authorship network connecting the top 25 collaborators of S. Havre. A scholar is included among the top collaborators of S. Havre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Havre. S. Havre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	PQuad—a visual analysis platform for proteomic data exploration of microbial organisms 2007 ·Bioinformatics ·Bobbie‐Jo Webb‐Robertson, Elena Peterson, Mudita Singhal, (unknown), Christopher Oehmen, Joshua Adkins, S. Havre	1
2	Isn't it about time? [data visualization] 2006 ·IEEE Computer Graphics and Applications ·Olga Kuchar, (unknown), S. Havre, Kenneth A. Perrine	1
3	Diverse information integration and visualization 2006 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·S. Havre, Anuj Shah, Christian Posse, Bobbie‐Jo Webb‐Robertson	7
4	Enabling proteomics discovery through visual analysis 2005 ·IEEE Engineering in Medicine and Biology Magazine ·S. Havre, Manish Singhal, Deborah Payne, Mary Lipton, Bobbie‐Jo Webb‐Robertson	5
5	Bioinformatic insights from metagenomics through visualization 2005 ·PubMed ·S. Havre, Bobbie‐Jo Webb‐Robertson, Anuj Shah, Christian Posse, Banu Gopalan, (unknown)	6
6	PQuad: visualization of predicted peptides and proteins 2005 ·S. Havre, Manish Singhal, Deborah Payne, Bobbie‐Jo Webb‐Robertson	3
7	Interactive visualization of multiple query results 2005 ·S. Havre, Elizabeth Hetzler, Kenneth A. Perrine, (unknown), Nancy E. Miller	54
8	IN-SPIRE InfoVis 2004 Contest Entry 2005 ·Pak Chung Wong, Beth Hetzler, Christian Posse, (unknown), S. Havre, Nick Cramer, Anuj Shah, Manmohan Singhal, Alan Turner, J. Joshua Thomas	23
9	IN-SPIRE InfoVis 2004 Contest Entry 2004 ·Pak Chung Wong, Beth Hetzler, Christian Posse, Mark Whiting, S. Havre, Nick Cramer, Anuj Shah, Manmohan Singhal, Alan Turner, J. Joshua Thomas	34
10	Integrating Evolving Tools for Proteomics Research 2004 ·S. Havre, Mudita Singhal, Banu Gopalan, Deborah Payne, (unknown), (unknown), Kenneth J. Auberry, Eric Stephan, Bobbie‐Jo Webb‐Robertson, (unknown)	1
11	ThemeRiver: visualizing theme changes over time 2002 ·S. Havre, Beth Hetzler, Lucy Nowell	280
12	ThemeRiver: visualizing thematic changes in large document collections breakdown → 2002 ·IEEE Transactions on Visualization and Computer Graphics ·S. Havre, Elizabeth Hetzler, Paul Whitney, Lucy Nowell	463
13	ThemeRiver*: In Search of Trends, Patterns, and Relationships 1999 ·S. Havre, Beth Hetzler, Lucy Nowell	7

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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