B. Shneiderman
- Human-Computer Interaction top 5%
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- Data Visualization and Analytics 4
- Signal Processing top 5%
- Software top 10%
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Biomedical Text Mining and Ontologies 1
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- Visual and Cognitive Learning Processes 1
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- Software Engineering Research 1
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- Evolutionary Algorithms and Applications 1
- Semantic Web and Ontologies 1
- Co-authors
- Lise GetoorHyunmo KangLouis LicameleMustafa BilgicHarry HochheiserEric H. BaehreckeStephen M. MountJae‐wook Ahn
- Journals
- IEEE Transactions on Software Engineering (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Software (2 papers)
- Partner nations
- United States
In The Last Decade
B. Shneiderman
11 papers receiving 664 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 107
- Computer Vision and Pattern Recognition 336
- Signal Processing 154
- Information Systems and Management 78
- Software 39
Countries citing papers authored by B. Shneiderman
This map shows the geographic impact of B. Shneiderman'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 B. Shneiderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Shneiderman more than expected).
Fields of papers citing papers by B. Shneiderman
This network shows the impact of papers produced by B. Shneiderman. 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 B. Shneiderman. The network helps show where B. Shneiderman may publish in the future.
Co-authorship network
The 20 scholars most cited alongside B. Shneiderman, 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 | 2011 | 13 | |
| 2 | 2010 | 8 | |
| 3 | 2008 | 35 | |
| 4 | 2003 | 23 | |
| 5 | 2003 | 14 | |
| 6 | 1994 | 388 | |
| 7 | 1993 | 22 | |
| 8 | 1989 | 5 | |
| 9 | Direct manipulation: A step beyond programming languages | 1987 | 97 |
| 10 | Invited address: overcoming limitations imposed by current programming languages | 1986 | 1 |
| 11 | 1981 | 1 | |
| 12 | 1977 | 88 | |
| 13 | Database management systems | 1976 | 48 |
About B. Shneiderman
B. Shneiderman is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biophysics, having authored 13 papers that have together received 743 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Visual and Cognitive Learning Processes (1 paper), Software Engineering Research (1 paper), Evolutionary Algorithms and Applications (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Human-Computer Interaction (107 citations), Computer Vision and Pattern Recognition (336 citations) and Signal Processing (154 citations). B. Shneiderman has collaborated with scholars based in United States. Frequent co-authors include Lise Getoor, Hyunmo Kang, Louis Licamele, Mustafa Bilgic, Harry Hochheiser, Eric H. Baehrecke, Stephen M. Mount, Jae‐wook Ahn, Po Zhao and P. M. Clarkson. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Visualization and Computer Graphics and IEEE Software.
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.