James T. McClave

5.5k total citations · 1 hit paper
33 papers, 4.2k citations indexed

About

James T. McClave is a scholar working on Control and Systems Engineering, Signal Processing and Statistics and Probability. According to data from OpenAlex, James T. McClave has authored 33 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Control and Systems Engineering, 2 papers in Signal Processing and 2 papers in Statistics and Probability. Recurrent topics in James T. McClave's work include Avian ecology and behavior (1 paper), Statistics Education and Methodologies (1 paper) and Image and Signal Denoising Methods (1 paper). James T. McClave is often cited by papers focused on Avian ecology and behavior (1 paper), Statistics Education and Methodologies (1 paper) and Image and Signal Denoising Methods (1 paper). James T. McClave collaborates with scholars based in United States, Slovakia and China. James T. McClave's co-authors include Wayne A. Fuller, Richard L. Scheaffer, Terry Sincich, G. Ramachandran, Philip G. Benson, Eric R. Ziegel, P. V. Rao, Dennis D. Wackerly, Gary D. Herrin and Lyman Ott and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

James T. McClave

32 papers receiving 3.4k citations

Hit Papers

Introduction to Statistical Time Series 1978 2026 1994 2010 1978 1000 2.0k 3.0k

Peers

James T. McClave
Comparison fields: 5 of 193
  • Economics and Econometrics 1.9k
  • General Economics, Econometrics and Finance 1.8k
  • Finance 1.2k
  • Statistics and Probability 509
  • Management Science and Operations Research 330
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Citations per field, relative to James T. McClave
James T. McClave · 1×
Citations per year, relative to James T. McClave
James T. McClave · 1×

Countries citing papers authored by James T. McClave

Since Specialization
Citations

This map shows the geographic impact of James T. McClave'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 James T. McClave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. McClave more than expected).

Fields of papers citing papers by James T. McClave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. McClave. 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 James T. McClave. The network helps show where James T. McClave may publish in the future.

Co-authorship network of co-authors of James T. McClave

This figure shows the co-authorship network connecting the top 25 collaborators of James T. McClave. A scholar is included among the top collaborators of James T. McClave 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 James T. McClave. James T. McClave 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
A First Course In Business Statistics
7
2 23
3 8
4 45
5 139
6 0
7 169
8 1
9 1
10 9
11
Study guide to accompany James T. McClave and P. George Benson Statistics for business and economics, third edition
1
12
Statistics for engineers
58
13 23
14
Introduction to Statistical Time Series breakdown →
3265
15 53
16 8
17 10
18 5
19 11
20 18

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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