Maia Jacobs

16 papers and 193 indexed citations i.

About

Maia Jacobs is a scholar working on General Health Professions, Artificial Intelligence and Applied Psychology. According to data from OpenAlex, Maia Jacobs has authored 16 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 4 papers in Artificial Intelligence and 4 papers in Applied Psychology. Recurrent topics in Maia Jacobs’s work include Mobile Health Interventions and Applications (6 papers), Digital Mental Health Interventions (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Maia Jacobs is often cited by papers focused on Mobile Health Interventions and Applications (6 papers), Digital Mental Health Interventions (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Maia Jacobs collaborates with scholars based in United States, United Kingdom and Italy. Maia Jacobs's co-authors include Krzysztof Z. Gajos, Finale Doshi‐Velez, Roy H. Perlis, Thomas H. McCoy, Elizabeth D. Mynatt, Jeremy Johnson, Anoopum S. Gupta, Galina Gheihman, Gabriela Marcu and Jessica Pater and has published in prestigious journals such as Translational Psychiatry, JMIR mhealth and uhealth and JNCI Monographs.

In The Last Decade

Co-authorship network of co-authors of Maia Jacobs i

Fields of papers citing papers by Maia Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maia Jacobs

Since Specialization
Citations

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