W. L. Harkness

1.1k total citations
34 papers, 796 citations indexed

About

W. L. Harkness is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, W. L. Harkness has authored 34 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Education. Recurrent topics in W. L. Harkness's work include Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Advanced Statistical Methods and Models (4 papers). W. L. Harkness is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Advanced Statistical Methods and Models (4 papers). W. L. Harkness collaborates with scholars based in United States and Netherlands. W. L. Harkness's co-authors include Peter A. Rubba, Judith R. Vicary, Jessica Utts, Richard L. Naeye, E. M. Bolger, Harry H. Ku, Tiffany A. Koszalka, Barbara L. Grabowski, D. Collett and James Hannan and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

W. L. Harkness

33 papers receiving 663 citations

Peers

W. L. Harkness
Comparison fields: 5 of 145
  • Statistics and Probability 191
  • Education 159
  • Artificial Intelligence 78
  • Developmental and Educational Psychology 72
  • Pediatrics, Perinatology and Child Health 70
Replace Annabel Bolck with:
Annabel Bolck Netherlands
Donald Olivier United States
Robert S. Barcikowski United States
Colin Chalmers United Kingdom
James C. Lingoes United States
Andrew R. Baggaley United States
Katherine K. Wallman United States
S.A. Bishop Nigeria
Ab Mooijaart Netherlands
Annabel Bolck Netherlands View profile →
Citations per field, relative to W. L. Harkness
W. L. Harkness · 1×
Citations per year, relative to W. L. Harkness
W. L. Harkness · 1×

Countries citing papers authored by W. L. Harkness

Since Specialization
Citations

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

Fields of papers citing papers by W. L. Harkness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. L. Harkness. 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 W. L. Harkness. The network helps show where W. L. Harkness may publish in the future.

Co-authorship network of co-authors of W. L. Harkness

This figure shows the co-authorship network connecting the top 25 collaborators of W. L. Harkness. A scholar is included among the top collaborators of W. L. Harkness 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 W. L. Harkness. W. L. Harkness 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 36
2 9
3
Restructuring Introductory Courses at Penn State
1
4 3
5 7
6 6
7 93
8 24
9 22
10 91
11 86
12 3
13 9
14 25
15 44
16 54
17 12
18 21
19 18
20 25

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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