Anne R. Diekema

27 papers and 273 indexed citations i.

About

Anne R. Diekema is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Anne R. Diekema has authored 27 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Science Applications. Recurrent topics in Anne R. Diekema’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Open Education and E-Learning (6 papers). Anne R. Diekema is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Open Education and E-Learning (6 papers). Anne R. Diekema collaborates with scholars based in United States. Anne R. Diekema's co-authors include Heather Leary, Wendy Holliday, Elizabeth D. Liddy, Özgür Yılmazel, Páraic Sheridan, Jiangping Chen, Miguel E. Ruiz, Elizabeth Hopkins, Nena Schvaneveldt and Jonathan Ostwald and has published in prestigious journals such as Nurse Education Today, The Journal of Academic Librarianship and Library & Information Science Research.

In The Last Decade

Co-authorship network of co-authors of Anne R. Diekema i

Fields of papers citing papers by Anne R. Diekema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne R. Diekema. 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 Anne R. Diekema. The network helps show where Anne R. Diekema may publish in the future.

Countries citing papers authored by Anne R. Diekema

Since Specialization
Citations

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

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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