Takako Nomi

22 papers receiving 457 citations

Peers

Takako Nomi
Comparison fields: 5 of 51
  • Education 454
  • Statistics and Probability 104
  • Sociology and Political Science 70
  • Safety Research 45
  • Experimental and Cognitive Psychology 42
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María Verónica Santelices Chile
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Citations per year

Countries citing papers authored by Takako Nomi

Since Specialization
Citations

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

Fields of papers citing papers by Takako Nomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Nomi

This figure shows the co-authorship network connecting the top 25 collaborators of Takako Nomi. A scholar is included among the top collaborators of Takako Nomi 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 Takako Nomi. Takako Nomi 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
#WorkIndexed citations
1 0
2 6
3 27
4 2
5 64
6
Algebra for All: The Effect of Algebra Coursework and Classroom Peer Academic Composition on Low-Achieving Students.
0
7
Doubling Up: Intensive Math Instruction and Educational Attainment.
0
8
A Double Dose of Algebra.
8
9
Efficacy of Online Algebra I for Credit Recovery for At-Risk Ninth Grade Students: Evidence from Year 1.
1
10
Understanding Treatment Effects Heterogeneities Using Multi-Site Regression Discontinuity Designs: Example from a "Double-Dose" Algebra Study in Chicago.
3
11 29
12 18
13
The Unintended Consequences of an Algebra-for-All Policy on High-Skill Students: The Effects on Instructional Organization and Students' Academic Outcomes.
7
14
College-Preparatory Curriculum for All: The Consequences of Raising Mathematics Graduation Requirements on Students' Course Taking and Outcomes in Chicago.
6
15 72
16 106
17 41
18 13
19
EDUCATIONAL STRATIFICATION IN EARLY ELEMENTARY SCHOOL: THE CAUSAL EFFECT OF ABILITY GROUPING ON READING ACHIEVEMENT
1
20
Faces of the Future: A Portrait of First-Generation Community College Students.
20

About Takako Nomi

Takako Nomi is a scholar working on Modeling and Simulation, Statistics and Probability and Education, having authored 26 papers that have together received 526 indexed citations. Recurring topics across this work include School Choice and Performance (16 papers), Higher Education Research Studies (9 papers) and Education Systems and Policy (6 papers). The work is most often cited by research in Education (454 citations), Statistics and Probability (104 citations) and Modeling and Simulation (33 citations). Takako Nomi has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Elaine Allensworth, Kalena E. Cortes, Joshua Goodman, Stephen W. Raudenbush, Valerie E. Lee, Sean F. Reardon, Guanglei Hong, Gerald K. LeTendre, Anja Kurki and Kirk Walters. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Educational Research Journal and The Journal of Human Resources.

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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