Diana Cukierman

50 total papers · 654 total citations
32 papers, 400 citations indexed

About

Diana Cukierman is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, Diana Cukierman has authored 32 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Science Applications, 9 papers in Artificial Intelligence and 8 papers in Education. Recurrent topics in Diana Cukierman's work include Teaching and Learning Programming (14 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (6 papers). Diana Cukierman is often cited by papers focused on Teaching and Learning Programming (14 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (6 papers). Diana Cukierman collaborates with scholars based in Canada, New Zealand and Spain. Diana Cukierman's co-authors include D. Thompson, James P. Delgrande, Ursula Fuller, Essi Lahtinen, Charles Riedesel, Tracy L. Lewis, Jana Jacková, Colin G. Johnson, Tuukka Ahoniemi and Isidoro Hernán Losada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Higher Education and Computer Science Education.

In The Last Decade

Diana Cukierman

26 papers receiving 365 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diana Cukierman 265 91 86 85 81 32 400
Luisa M. Regueras 218 0.8× 126 1.4× 134 1.6× 124 1.5× 108 1.3× 26 417
Luis de‐la‐Fuente‐Valentín 259 1.0× 125 1.4× 92 1.1× 107 1.3× 97 1.2× 43 426
Jane Waite 350 1.3× 139 1.5× 82 1.0× 95 1.1× 42 0.5× 32 446
Juan Pablo de Castro Fernández 205 0.8× 118 1.3× 124 1.4× 122 1.4× 103 1.3× 30 418
Vreda Pieterse 171 0.6× 68 0.7× 102 1.2× 177 2.1× 40 0.5× 35 417
Michael J. Oudshoorn 133 0.5× 45 0.5× 66 0.8× 219 2.6× 100 1.2× 51 407
Janice L. Pearce 203 0.8× 69 0.8× 35 0.4× 90 1.1× 59 0.7× 38 386
Daniel Amo-Filvà 225 0.8× 39 0.4× 108 1.3× 159 1.9× 55 0.7× 46 416
Monika Akbar 174 0.7× 94 1.0× 38 0.4× 96 1.1× 52 0.6× 33 340
Grant Braught 276 1.0× 105 1.2× 54 0.6× 167 2.0× 43 0.5× 35 384

Countries citing papers authored by Diana Cukierman

Since Specialization
Citations

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

Fields of papers citing papers by Diana Cukierman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Cukierman

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Cukierman. A scholar is included among the top collaborators of Diana Cukierman 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 Diana Cukierman. Diana Cukierman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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