Kenneth N. Berk

2.7k total citations
54 papers, 1.8k citations indexed

About

Kenneth N. Berk is a scholar working on Statistics and Probability, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Kenneth N. Berk has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 5 papers in Control and Systems Engineering and 5 papers in Management Science and Operations Research. Recurrent topics in Kenneth N. Berk's work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). Kenneth N. Berk is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). Kenneth N. Berk collaborates with scholars based in United States. Kenneth N. Berk's co-authors include Richard R. Picard, Jay L. Devore, Ravindra Khattree, Dayanand N. Naik, David E. Spencer, Susan B. Gerber, Kristin E. Voelkl, David E. Booth, Matthew A. Carlton and Ramon C. Littell and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics.

In The Last Decade

Kenneth N. Berk

51 papers receiving 1.6k citations

Peers

Kenneth N. Berk
Comparison fields: 5 of 199
  • Statistics and Probability 517
  • Economics and Econometrics 294
  • Finance 223
  • General Economics, Econometrics and Finance 219
  • Management Science and Operations Research 180
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Citations per field, relative to Kenneth N. Berk
Kenneth N. Berk · 1×
Citations per year, relative to Kenneth N. Berk
Kenneth N. Berk · 1×

Countries citing papers authored by Kenneth N. Berk

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth N. Berk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth N. Berk. 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 Kenneth N. Berk. The network helps show where Kenneth N. Berk may publish in the future.

Co-authorship network of co-authors of Kenneth N. Berk

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth N. Berk. A scholar is included among the top collaborators of Kenneth N. Berk 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 Kenneth N. Berk. Kenneth N. Berk 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
# Work Indexed citations
1
Data Analysis with Microsoft Excel: Updated for Office 2007
10
2
Data Analysis with Microsoft Excel: Updated for Office XP (with CD-ROM)
1
3 71
4 221
5 76
6
Computing science and statistics : proceedings of the 31st Symposium on the Interface : models, predictions, and computing, Schaumburg, Illinois, June 9-12, 1999
3
7 5
8 2
9
Data analysis with Microsoft Excel
42
10 0
11 13
12 43
13 118
14 12
15 7
16 17
17 7
18 86
19 62
20 1

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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