Ben Shneiderman

6.3k citations
63 papers · 3.9k indexed · 3 hit papers · h-index 23
Topics
Advanced Database Systems and Queries (15 papers)Data Management and Algorithms (9 papers)Data Visualization and Analytics (6 papers)

In The Last Decade

Ben Shneiderman

61 papers receiving 3.4k citations

Hit Papers

Designing the User Interface1976202619922009198719921976250500750

Peers

Ben Shneiderman
Comparison fields: 5 of 160
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 1.2k
  • Information Systems 1.0k
  • Computer Networks and Communications 840
  • Signal Processing 643
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Citations per field
00.5×1.5×
Andreas Paepcke · 1×
Citations per year

Countries citing papers authored by Ben Shneiderman

Since Specialization
Citations

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

Fields of papers citing papers by Ben Shneiderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Shneiderman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 80
2 8
3 72
4 3
5
The limits of speech recognition: Understanding acoustic memory and appreciating prosody (2000)
1
6 56
7 32
8
Interactive graphical querying of time series and linear sequence data sets
14
9 9
10 22
11 20
12 35
13
Tree visualization with tree-mapsbreakdown →
874
14
Ecological Studies of Professional
1
15
Designing the user interface: supplemental materials
14
16 34
17
Path expressions for complex queries and automatic database program conversion
5
18 26
19
FORTRAN programming: A spiral approach, with WATFOR/WATFIV and standard FORTRAN
1
20 1

About Ben Shneiderman

Ben Shneiderman is a scholar working on Signal Processing, Human-Computer Interaction and Computer Networks and Communications, having authored 63 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (9 papers) and Data Visualization and Analytics (6 papers). The work is most often cited by research in Human-Computer Interaction (598 citations), Signal Processing (643 citations) and Computer Vision and Pattern Recognition (1.2k citations). Ben Shneiderman has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Richard E. Mayer, Krist Wongsuphasawat, P.N. Heller, W. Bruce Croft, Jae‐wook Ahn, Catherine Plaisant, Donald Byrd, Eser Kandogan, Eric H. Baehrecke and Harry Hochheiser. Their work appears in journals such as Communications of the ACM, Computers & Education and ACM Transactions on Graphics.

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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