Eric Weber

553 citations
31 papers · 402 · h-index 13

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 14
    • Science Education and Pedagogy 7
    • Educational Assessment and Pedagogy 2
    • Statistics Education and Methodologies 4
    • Cognitive and developmental aspects of mathematical skills 3

Eric Weber

29 papers receiving 383 citations

Peers

Eric Weber
Comparison fields: 5 of 85
  • Statistics and Probability 93
  • Theoretical Computer Science 14
  • Education 155
  • Endocrinology, Diabetes and Metabolism 68
  • Developmental and Educational Psychology 46
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Citations per field
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Citations per year

Countries citing papers authored by Eric Weber

Since Specialization
Citations

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

Fields of papers citing papers by Eric Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Weber, 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 Eric Weber Line = papers co-authored together Eric Weber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201447
3 200434
4 202031
5 201425
6 202124
7 202020
8 201420
9 201618
10 201415
11 201214
12 201514
13 201513
14 201512
15
An Extended Theoretical Framework for the Concept of the Derivative
201510
16 20137
17
The Case for Learning Trajectories Research.
20146
18
Students' Ways of Thinking about Two-Variable Functions and Rate of Change in Space
20126
19 20155
20 20234

About Eric Weber

Eric Weber is a scholar working on Education, Statistics and Probability, Developmental and Educational Psychology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 31 papers that have together received 402 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (14 papers), Science Education and Pedagogy (7 papers), Statistics Education and Methodologies (4 papers), Innovative Teaching and Learning Methods (4 papers), Diabetes and associated disorders (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Diabetes Management and Research (2 papers) and Educational Assessment and Pedagogy (2 papers). The work is most often cited by research in Statistics and Probability (93 citations), Theoretical Computer Science (14 citations), Education (155 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Developmental and Educational Psychology (46 citations). Eric Weber has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Patrick W Thompson, Parisa Rashidi, Roger B. Fillingim, Todd M. Manini, Amy B. Ellis, Mary Ellen Young, Christophe De Block, Anis Davoudi, Elise Lockwood and Candace Walkington. Their work appears in journals such as JMIR mhealth and uhealth, Mathematical Thinking and Learning, The Journal of Mathematical Behavior, Research in Mathematics Education and Diabetologia.

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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