Daniel Frischemeier

445 citations
53 papers · 294 · h-index 10

Impact in

Papers in

Daniel Frischemeier

50 papers receiving 286 citations

Peers

Daniel Frischemeier
Comparison fields: 5 of 39
  • Statistics and Probability 216
  • Computer Science Applications 34
  • Education 86
  • Information Systems and Management 15
  • Management Information Systems 18
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Countries citing papers authored by Daniel Frischemeier

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Frischemeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Frischemeier, 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 Daniel Frischemeier Line = papers co-authored together Daniel Frischemeier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201840
2 201739
3 201818
4 201315
5 201914
6 201713
7 202111
8 202010
9 201610
10 202110
11 20199
12 20208
13
Preservice teachers' statistical reasoning when comparing groups facilitated by software
20157
14 20126
15 20186
16 20165
17 20155
18 20215
19 20245
20 20204

About Daniel Frischemeier

Daniel Frischemeier is a scholar working on Statistics and Probability, Artificial Intelligence, Education, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 294 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (42 papers), Data Analysis with R (14 papers), Mathematics Education and Teaching Techniques (8 papers), Educational Assessment and Pedagogy (3 papers), Data Visualization and Analytics (3 papers), Sports Analytics and Performance (2 papers), Education Methods and Technologies (2 papers) and Probability and Statistical Research (2 papers). The work is most often cited by research in Statistics and Probability (216 citations), Computer Science Applications (34 citations), Education (86 citations), Information Systems and Management (15 citations) and Management Information Systems (18 citations). Daniel Frischemeier has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Rolf Biehler, Chris Reading, J. Michael Shaughnessy, Carsten Schulte, A. Leavy, Joachim Engel, Reinhard Hochmuth, Angela Schwering, Laura F. Martignon and Maxine Pfannkuch. Their work appears in journals such as Statistics Education Research Journal, Mathematics Education Research Journal, ZDM, Journal of Mathematics Teacher Education and Teaching Statistics.

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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