William Finzer

26 papers receiving 360 citations

Peers

William Finzer
Comparison fields: 5 of 67
  • Computer Science Applications 122
  • Statistics and Probability 173
  • Information Systems and Management 35
  • Developmental and Educational Psychology 59
  • Education 96
Replace Theodosia Prodromou with:
Theodosia Prodromou Australia
Hans-Stefan Siller Germany
Philip Vahey United States
Zaleha Binti Ismail Malaysia
Elizabeth Patitsas Canada
Nicholas Jackiw Canada
Peter Boon Netherlands
Judith S. Zawojewski United States
Karen Flanagan Hollebrands United States
Julie Gainsburg United States
William Finzer relative to Theodosia Prodromou Australia Theodosia Prodromou's profile →
Citations per field
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Theodosia Prodromou · 1×
Citations per year

Countries citing papers authored by William Finzer

Since Specialization
Citations

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

Fields of papers citing papers by William Finzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside William Finzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Finzer Line = papers co-authored together William Finzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201939
3 201137
4 196536
5 202234
6
The geometer's sketchpad: programming by geometry
199322
7 202218
8 199517
9 201716
10 202116
11 200715
12 198214
13 20188
14 20157
15 20237
16 20237
17
Rehearsal world: programming by rehearsal
19936
18 20224
19
Data Moves: Restructuring Data for Inquiry in a Simulation and Data Analysis Environment.
20183
20 20153

About William Finzer

William Finzer is a scholar working on Statistics and Probability, Computer Science Applications, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 27 papers that have together received 398 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (15 papers), Teaching and Learning Programming (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Online Learning and Analytics (3 papers), Research Data Management Practices (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Data Quality and Management (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computer Science Applications (122 citations), Statistics and Probability (173 citations), Information Systems and Management (35 citations), Developmental and Educational Psychology (59 citations) and Education (96 citations). William Finzer has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Michelle Hoda Wilkerson, Jie Chao, Frieda Reichsman, Laura Gould, Carolyn Penstein Rosé, Shiyan Jiang, Nicholas J. Horton, Clifford Konold, Alexander Pollatsek and Sibel Kazak. Their work appears in journals such as Education and Information Technologies, British Journal of Educational Technology, The American Journal of the Medical Sciences, Statistics Education Research Journal and Mathematical Thinking and Learning.

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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