Nina Hood

57 total papers · 1.6k total citations
31 papers, 830 citations indexed

About

Nina Hood is a scholar working on Education, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, Nina Hood has authored 31 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 13 papers in Computer Science Applications and 6 papers in Sociology and Political Science. Recurrent topics in Nina Hood's work include Online Learning and Analytics (9 papers), Online and Blended Learning (6 papers) and Open Education and E-Learning (4 papers). Nina Hood is often cited by papers focused on Online Learning and Analytics (9 papers), Online and Blended Learning (6 papers) and Open Education and E-Learning (4 papers). Nina Hood collaborates with scholars based in New Zealand, United Kingdom and China. Nina Hood's co-authors include Allison Littlejohn, Colin Milligan, Marek Tesař, Michael A. Peters, Bart Rienties, Rachel Buchanan, Andrew Gibbons, Jennifer Charteris, Ruyu Hung and E. Jayne White and has published in prestigious journals such as Computers & Education, Higher Education and The Internet and Higher Education.

In The Last Decade

Nina Hood

30 papers receiving 797 citations

Hit Papers

Learning in MOOCs: Motiva... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nina Hood 547 456 215 136 74 31 830
Jenny Mackness 619 1.1× 445 1.0× 155 0.7× 185 1.4× 101 1.4× 16 928
Martin Graff 232 0.4× 516 1.1× 287 1.3× 126 0.9× 98 1.3× 26 784
Laurie P. Dringus 294 0.5× 457 1.0× 238 1.1× 127 0.9× 75 1.0× 46 845
Steven Lonn 450 0.8× 566 1.2× 150 0.7× 167 1.2× 75 1.0× 27 999
Robert Bodily 660 1.2× 476 1.0× 249 1.2× 182 1.3× 71 1.0× 20 987
Ormond Simpson 307 0.6× 787 1.7× 168 0.8× 114 0.8× 70 0.9× 34 996
Terrie Lynn Thompson 202 0.4× 364 0.8× 155 0.7× 111 0.8× 132 1.8× 37 729
Graham Attwell 265 0.5× 392 0.9× 213 1.0× 236 1.7× 106 1.4× 42 703
Nichole Pinkard 279 0.5× 415 0.9× 168 0.8× 132 1.0× 121 1.6× 50 733
Hee Jun Choi 259 0.5× 654 1.4× 177 0.8× 139 1.0× 101 1.4× 26 977

Countries citing papers authored by Nina Hood

Since Specialization
Citations

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

Fields of papers citing papers by Nina Hood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Hood

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Hood. A scholar is included among the top collaborators of Nina Hood 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 Nina Hood. Nina Hood 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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