Ross Ihaka

15.1k citations
18 papers · 12.2k indexed · 2 hit papers · h-index 8
Topics
Data Mining Algorithms and Applications (3 papers)Handwritten Text Recognition Techniques (2 papers)Visual perception and processing mechanisms (2 papers)

In The Last Decade

Ross Ihaka

15 papers receiving 11.6k citations

Hit Papers

R: A Language for Data Analysis and Graphics1996202620062016199619962.5k5.0k7.5k

Peers

Ross Ihaka
Comparison fields: 5 of 226
  • Molecular Biology 3.0k
  • Ecology 1.9k
  • Genetics 1.6k
  • Plant Science 1.2k
  • Ecology, Evolution, Behavior and Systematics 1.1k
Replace Sture Holm with:
Sture Holm Sweden
Cedric E. Ginestet United Kingdom
Julie Josse France
François Husson France
Martyn Plummer France
Russell V. Lenth United States
J. C. Gower United Kingdom
Robert Gentleman United States
Russell D. Wolfinger United States
Samuel S. Shapiro United States
Ross Ihaka relative to Sture Holm Sweden Sture Holm's profile →
Citations per field
00.5×1.5×
Sture Holm · 1×
Citations per year

Countries citing papers authored by Ross Ihaka

Since Specialization
Citations

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

Fields of papers citing papers by Ross Ihaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Ihaka

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 104
2
Color Space Manipulation
7
3
R: Lessons Learned, Directions for the Future
1
4
The Future of Statistical Computing. Comment.
0
5 0
6 33
7
Exploring better techniques for diagram recognition
3
8 2
9
Colour for Presentation Graphics
16
10
THE R ENVIRONMENT FOR STATISTICAL COMPUTING
2
11 1
12 42
13 5
14 0
15 9
16
R: A Language for Data Analysis and Graphicsbreakdown →
8513
17
R: A Language for Data Analysis and Graphicsbreakdown →
3444
18 1

About Ross Ihaka

Ross Ihaka is a scholar working on Software, Information Systems and Management and Information Systems, having authored 18 papers that have together received 12.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Handwritten Text Recognition Techniques (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Nature and Landscape Conservation (1.1k citations), Statistics and Probability (694 citations) and Ecology (1.9k citations). Ross Ihaka has collaborated with scholars based in New Zealand, United States and Austria. Frequent co-authors include Robert Gentleman, Paul Murrell, Kurt Hornik, Jason C. Fisher, Achim Zeileis, Reto Stauffer, Claire D. McWhite, Claus O. Wilke, John Grundy and Beryl Plimmer. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Statistical 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.

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