Gordon V. Kass

4.4k total citations · 2 hit papers
6 papers, 3.1k citations indexed

About

Gordon V. Kass is a scholar working on Statistics and Probability, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Gordon V. Kass has authored 6 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Gordon V. Kass's work include Advanced Statistical Methods and Models (3 papers), Statistical Methods and Inference (2 papers) and Bayesian Methods and Mixture Models (1 paper). Gordon V. Kass is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Statistical Methods and Inference (2 papers) and Bayesian Methods and Mixture Models (1 paper). Gordon V. Kass collaborates with scholars based in South Africa, Ghana and United States. Gordon V. Kass's co-authors include Franklin A. Graybill, Alexander M. Mood, Duane C. Boes, Dan Bradu and Douglas M. Hawkins and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Gordon V. Kass

5 papers receiving 2.7k citations

Hit Papers

An Exploratory Technique for Investigating Large Quantiti... 1974 2026 1991 2008 1980 1974 500 1000 1.5k 2.0k

Peers

Gordon V. Kass
Comparison fields: 5 of 218
  • Artificial Intelligence 513
  • Statistics and Probability 465
  • Information Systems 319
  • Statistics, Probability and Uncertainty 251
  • Economics and Econometrics 240
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Citations per field, relative to Gordon V. Kass
Gordon V. Kass · 1×
Citations per year, relative to Gordon V. Kass
Gordon V. Kass · 1×

Countries citing papers authored by Gordon V. Kass

Since Specialization
Citations

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

Fields of papers citing papers by Gordon V. Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon V. Kass. 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 Gordon V. Kass. The network helps show where Gordon V. Kass may publish in the future.

Co-authorship network of co-authors of Gordon V. Kass

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 187
2 65
3
An Exploratory Technique for Investigating Large Quantities of Categorical Data breakdown →
2002
4 1
5 46
6
Introduction to the Theory of Statistics, 3rd ed. breakdown →
755

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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2026