Anita Walden

18 papers and 192 indexed citations i.

About

Anita Walden is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Anita Walden has authored 18 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health Information Management, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Anita Walden’s work include Electronic Health Records Systems (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Data Quality and Management (4 papers). Anita Walden is often cited by papers focused on Electronic Health Records Systems (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Data Quality and Management (4 papers). Anita Walden collaborates with scholars based in United States. Anita Walden's co-authors include Meredith Zozus, Maryam Y. Garza, Guilherme Del Fiol, Jessica D. Tenenbaum, Michelle Smerek, W. Ed Hammond, Constance Johnson, Eric L. Eisenstein, Sahiti Myneni and Meredith Nahm and has published in prestigious journals such as Journal of Biomedical Informatics, JMIR mhealth and uhealth and Contemporary Clinical Trials.

In The Last Decade

Co-authorship network of co-authors of Anita Walden i

Fields of papers citing papers by Anita Walden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anita Walden

Since Specialization
Citations

This map shows the geographic impact of Anita Walden'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 Anita Walden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Walden 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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2025