Ricardo Nemirovsky

1.8k citations
42 papers · 999 indexed · h-index 18

Ricardo Nemirovsky

39 papers receiving 859 citations

Peers

Ricardo Nemirovsky
Comparison fields: 5 of 79
  • Developmental and Educational Psychology 406
  • Statistics and Probability 185
  • Education 577
  • Theoretical Computer Science 18
  • Human Factors and Ergonomics 34
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Citations per year

Countries citing papers authored by Ricardo Nemirovsky

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Nemirovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Ricardo Nemirovsky, 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 Ricardo Nemirovsky Line = papers co-authored together Ricardo Nemirovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20232
3 20230
4 20221
5 20212
6 20189
7 20171
8 20158
9
Rescaling bodies in/as representational instruments in GPS drawing
201422
10 201370
11 2008117
12
A Case Study of How Kinesthetic Experiences Can Participate in and Transfer to Work with Equations.
20054
13 200425
14
Sharing and Reflecting on Teaching Practices by using VideoPaper Builder 2
20033
15
Interactive video case-based TPD programs: Five critical success factors
20033
16 200126
17
Writing in Video.
19992
18
The Way Things Change.
19992
19
Exploring Chaos: A Case Study.
19935
20
Students' Tendency To Assume Resemblances between a Function and Its Derivative.
199234

About Ricardo Nemirovsky

Ricardo Nemirovsky is a scholar working on Theoretical Computer Science, Archeology, Visual Arts and Performing Arts, Education and Developmental and Educational Psychology, having authored 42 papers that have together received 999 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (10 papers), Innovative Teaching and Learning Methods (7 papers), Education and Technology Integration (5 papers), Creativity in Education and Neuroscience (5 papers), Science Education and Pedagogy (5 papers), Action Observation and Synchronization (4 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and History and Theory of Mathematics (3 papers). The work is most often cited by research in Developmental and Educational Psychology (406 citations), Statistics and Probability (185 citations), Education (577 citations), Theoretical Computer Science (18 citations) and Human Factors and Ergonomics (34 citations). Ricardo Nemirovsky has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tracey Wright, Francesca Ferrara, Rogers Hall, Molly L. Kelton, Chris Rasmussen, Megan Wawro, George Sweeney, Andee Rubin, Y. Jasmine and Howard Gardner. Their work appears in journals such as Educational Studies in Mathematics, Journal of the Learning Sciences, Hand, Journal for Research in Mathematics Education 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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