Veronica M. Richard

20 total papers · 590 total citations
11 papers, 312 citations indexed

About

Veronica M. Richard is a scholar working on Sociology and Political Science, Conservation and Health Informatics. According to data from OpenAlex, Veronica M. Richard has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 3 papers in Conservation and 3 papers in Health Informatics. Recurrent topics in Veronica M. Richard's work include Participatory Visual Research Methods (4 papers), Art Therapy and Mental Health (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Veronica M. Richard is often cited by papers focused on Participatory Visual Research Methods (4 papers), Art Therapy and Mental Health (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Veronica M. Richard collaborates with scholars based in United States. Veronica M. Richard's co-authors include Maria K. E. Lahman, Monica Geist, Katrina L. Rodriguez, Kimberly D. Becker, Jessica Parker and Jessica Parker and has published in prestigious journals such as Qualitative Inquiry, International Journal of Artificial Intelligence in Education and International Journal of Research & Method in Education.

In The Last Decade

Veronica M. Richard

11 papers receiving 283 citations

Author Peers

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

Author Last Decade Papers Cites
Veronica M. Richard 167 72 41 38 35 11 312
Zsófia Hacsek 169 1.0× 67 0.9× 76 1.9× 33 0.9× 58 1.7× 6 349
Susan Finley 178 1.1× 76 1.1× 74 1.8× 74 1.9× 51 1.5× 24 352
Eliza Chandler 151 0.9× 25 0.3× 40 1.0× 32 0.8× 36 1.0× 23 356
Rachel Hurdley 197 1.2× 31 0.4× 22 0.5× 39 1.0× 12 0.3× 14 344
Sara Coemans 185 1.1× 47 0.7× 35 0.9× 85 2.2× 72 2.1× 11 309
Diane Conrad 134 0.8× 65 0.9× 60 1.5× 37 1.0× 20 0.6× 20 246
Tessa Muncey 127 0.8× 80 1.1× 18 0.4× 59 1.6× 7 0.2× 10 335
Alain De Botton 98 0.6× 36 0.5× 17 0.4× 30 0.8× 17 0.5× 19 323
Kakali Bhattacharya 208 1.2× 139 1.9× 13 0.3× 23 0.6× 9 0.3× 21 356
Jen Rinaldi 104 0.6× 24 0.3× 18 0.4× 24 0.6× 10 0.3× 22 254

Countries citing papers authored by Veronica M. Richard

Since Specialization
Citations

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

Fields of papers citing papers by Veronica M. Richard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica M. Richard. 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 Veronica M. Richard. The network helps show where Veronica M. Richard may publish in the future.

Co-authorship network of co-authors of Veronica M. Richard

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica M. Richard. A scholar is included among the top collaborators of Veronica M. Richard 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 Veronica M. Richard. Veronica M. Richard 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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