B. Shneiderman

1.1k total citations
13 papers, 743 citations indexed

About

B. Shneiderman is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, B. Shneiderman has authored 13 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in B. Shneiderman's work include Data Visualization and Analytics (4 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). B. Shneiderman is often cited by papers focused on Data Visualization and Analytics (4 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). B. Shneiderman collaborates with scholars based in United States. B. Shneiderman's 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 and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Visualization and Computer Graphics and IEEE Software.

In The Last Decade

B. Shneiderman

11 papers receiving 664 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Shneiderman United States 9 336 198 188 154 130 13 743
Michelle Baldonado United States 8 490 1.5× 237 1.2× 219 1.2× 120 0.8× 134 1.0× 14 840
Keith Andrews Austria 16 476 1.4× 241 1.2× 188 1.0× 91 0.6× 79 0.6× 60 742
Jonathan I. Helfman United States 12 311 0.9× 136 0.7× 199 1.1× 78 0.5× 66 0.5× 27 737
Lucy Nowell United States 10 826 2.5× 398 2.0× 205 1.1× 214 1.4× 80 0.6× 19 1.1k
Lawrence D. Bergman United States 14 418 1.2× 203 1.0× 191 1.0× 288 1.9× 222 1.7× 42 867
T. J. Jankun-Kelly United States 15 680 2.0× 197 1.0× 88 0.5× 137 0.9× 95 0.7× 35 899
Jon Meyer United States 7 249 0.7× 101 0.5× 75 0.4× 60 0.4× 84 0.6× 9 506
Chris Stolte United States 9 534 1.6× 192 1.0× 69 0.4× 232 1.5× 116 0.9× 12 748
Brian Amento United States 15 202 0.6× 319 1.6× 541 2.9× 130 0.8× 153 1.2× 24 1.0k
Heidi Lam Canada 10 370 1.1× 121 0.6× 104 0.6× 92 0.6× 47 0.4× 17 508

Countries citing papers authored by B. Shneiderman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of B. Shneiderman

This figure shows the co-authorship network connecting the top 25 collaborators of B. Shneiderman. A scholar is included among the top collaborators of B. Shneiderman 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 B. Shneiderman. B. Shneiderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Khurana, Udayan, et al.. (2011). Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. 549–554. 13 indexed citations
2.
Lieberman, Michael D., et al.. (2010). Visual Exploration across Biomedical Databases. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 536–550. 8 indexed citations
3.
Kang, Hyunmo, Lise Getoor, B. Shneiderman, Mustafa Bilgic, & Louis Licamele. (2008). Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Transactions on Visualization and Computer Graphics. 14(5). 999–1014. 35 indexed citations
4.
Hochheiser, Harry, Eric H. Baehrecke, Stephen M. Mount, & B. Shneiderman. (2003). Dynamic querying for pattern identification in microarray and genomic data. III–453. 23 indexed citations
5.
Seo, Jinwook, Marina Bakay, Po Zhao, et al.. (2003). Interactive color mosaic and dendrogram displays for signal/noise optimization in microarray data analysis. III–461. 14 indexed citations
6.
Shneiderman, B.. (1994). Dynamic queries for visual information seeking. IEEE Software. 11(6). 70–77. 388 indexed citations
7.
Shneiderman, B.. (1993). Beyond intelligent machines: just do it. IEEE Software. 10(1). 100–103. 22 indexed citations
8.
Shneiderman, B.. (1989). Human-computer interaction lab, University of Maryland. ACM SIGCHI Bulletin. 20(SI). 309–310. 5 indexed citations
9.
Shneiderman, B.. (1987). Direct manipulation: A step beyond programming languages. 461–467. 97 indexed citations
10.
Shneiderman, B.. (1986). Invited address: overcoming limitations imposed by current programming languages. 253–275. 1 indexed citations
11.
Shneiderman, B.. (1981). Comments from a Letter Written on July 19, 1978. IEEE Transactions on Software Engineering. SE-7(4). 370–371. 1 indexed citations
12.
Shneiderman, B.. (1977). Measuring computer program quality and comprehension. International Journal of Man-Machine Studies. 9(4). 465–478. 88 indexed citations
13.
Shneiderman, B.. (1976). Database management systems. CERN Document Server (European Organization for Nuclear Research). 48 indexed citations

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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