Daniel Chazan

3.0k citations
100 papers · 2.3k · h-index 25

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 57
    • Education and Technology Integration 17
    • Teacher Education and Leadership Studies 16
    • Speech and Audio Processing 16
    • Music and Audio Processing 7

Daniel Chazan

95 papers receiving 1.9k citations

Peers

Daniel Chazan
Comparison fields: 5 of 85
  • Theoretical Computer Science 88
  • Statistics and Probability 518
  • Education 1.5k
  • Developmental and Educational Psychology 460
  • Signal Processing 317
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Chazan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chazan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993268
2
Beyond Being Told Not to Tell
1999168
3 1975164
4 1991151
5 2010108
6
Exploring the Practical Rationality of Mathematics Teaching through Conversations about Videotaped Episodes: The Case of Engaging Students in Proving.
200398
7 201186
8 201276
9 201168
10 199054
11 201650
12 201247
13 200242
14 199342
15 201340
16 200437
17 201632
18 199632
19 197031
20 199928

About Daniel Chazan

Daniel Chazan is a scholar working on Education, Signal Processing, Developmental and Educational Psychology, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (57 papers), Education and Technology Integration (17 papers), Teacher Education and Leadership Studies (16 papers), Speech and Audio Processing (16 papers), Innovative Teaching and Learning Methods (12 papers), Cognitive and developmental aspects of mathematical skills (10 papers), Music and Audio Processing (7 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Theoretical Computer Science (88 citations), Statistics and Probability (518 citations), Education (1.5k citations), Developmental and Educational Psychology (460 citations) and Signal Processing (317 citations). Daniel Chazan has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Patricio Herbst, Deborah Loewenberg Ball, Y. Medan, Moshe Zakai, J. Ziv, E. Yair, Michal Yerushalmy, Talli Nachlieli, Lawrence M. Clark and Michael Weiß. Their work appears in journals such as Journal for Research in Mathematics Education, ZDM, Teachers College Record The Voice of Scholarship in Education, Educational Studies in Mathematics and Cognition and Instruction.

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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