Maxim Topaz

4.8k total citations
184 papers, 3.0k citations indexed

About

Maxim Topaz is a scholar working on General Health Professions, Health Information Management and Issues, ethics and legal aspects. According to data from OpenAlex, Maxim Topaz has authored 184 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in General Health Professions, 43 papers in Health Information Management and 35 papers in Issues, ethics and legal aspects. Recurrent topics in Maxim Topaz's work include Nursing Diagnosis and Documentation (35 papers), Electronic Health Records Systems (31 papers) and Chronic Disease Management Strategies (26 papers). Maxim Topaz is often cited by papers focused on Nursing Diagnosis and Documentation (35 papers), Electronic Health Records Systems (31 papers) and Chronic Disease Management Strategies (26 papers). Maxim Topaz collaborates with scholars based in United States, Israel and Finland. Maxim Topaz's co-authors include Kathryn H. Bowles, Li Zhou, Foster Goss, Kimberly G. Blumenthal, Lisiane Pruinelli, Kenneth Lai, Neil Dhopeshwarkar, Sarah P. Slight, Kenrick Cato and Laura‐Maria Peltonen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Maxim Topaz

165 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maxim Topaz United States	31	675	565	527	516	378	184	3.0k
Li Zhou United States	34	389 0.6×	842 1.5×	558 1.1×	191 0.4×	364 1.0×	172	3.4k
Adam Landman United States	30	936 1.4×	230 0.4×	476 0.9×	322 0.6×	492 1.3×	122	3.0k
Patricia C. Dykes United States	35	1.3k 2.0×	201 0.4×	1.1k 2.1×	113 0.2×	701 1.9×	209	4.1k
Prabath W.B. Nanayakkara Netherlands	32	407 0.6×	272 0.5×	121 0.2×	390 0.8×	353 0.9×	179	3.9k
Nadeem Qureshi United Kingdom	33	859 1.3×	383 0.7×	493 0.9×	154 0.3×	809 2.1×	161	4.8k
Brendan Delaney United Kingdom	43	912 1.4×	395 0.7×	624 1.2×	77 0.1×	774 2.0×	188	5.4k
David F. Lobach United States	29	1.2k 1.7×	468 0.8×	2.1k 4.0×	167 0.3×	1.1k 2.8×	97	5.5k
Peter L. Elkin United States	26	394 0.6×	792 1.4×	814 1.5×	145 0.3×	394 1.0×	159	3.0k
Kenrick Cato United States	22	668 1.0×	319 0.6×	462 0.9×	324 0.6×	352 0.9×	125	2.0k
Hadi Kharrazi United States	31	941 1.4×	324 0.6×	325 0.6×	106 0.2×	435 1.2×	151	3.1k

Countries citing papers authored by Maxim Topaz

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Topaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Topaz

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Topaz. A scholar is included among the top collaborators of Maxim Topaz 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 Maxim Topaz. Maxim Topaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Peltonen, Laura‐Maria, Maxim Topaz, & Zhihong Zhang. (2025). From Research to Practice in Days, not Decades: Why Leaders Must Act now. Journal of Medical Systems. 49(1). 175–175.

Zhang, Zhihong, Pallavi Gupta, Jiyoun Song, Maryam Zolnoori, & Maxim Topaz. (2025). From Conversation to Standardized Terminology: An LLM ‐ RAG Approach for Automated Health Problem Identification in Home Healthcare. Journal of Nursing Scholarship. 57(6). 1003–1011.

Gupta, Pallavi, Zhihong Zhang, Meijia Song, et al.. (2025). Rapid review: Growing usage of Multimodal Large Language Models in healthcare. Journal of Biomedical Informatics. 169. 104875–104875.

Woo, Kyungmi, et al.. (2025). Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study. Journal of Medical Internet Research. 27. e64160–e64160.

Davoudi, Anahita, Sena Chae, Lauren Evans, et al.. (2024). Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. International Journal of Medical Informatics. 191. 105534–105534. 8 indexed citations

Gosak, Lucija, Lisiane Pruinelli, Maxim Topaz, & Gregor Štiglic. (2024). The ChatGPT effect and transforming nursing education with generative AI: Discussion paper. Nurse Education in Practice. 75. 103888–103888. 42 indexed citations

Hobensack, Mollie, Hanna von Gerich, Laura‐Maria Peltonen, et al.. (2024). A rapid review on current and potential uses of large language models in nursing. International Journal of Nursing Studies. 154. 104753–104753. 33 indexed citations

Barrón, Yolanda, Miriam Ryvicker, Jiyoun Song, Maryam Zolnoori, & Maxim Topaz. (2023). IDENTIFYING NEW ADRD DIAGNOSES IN HOME HEALTH CARE PATIENTS USING NATURAL LANGUAGE PROCESSING OF NURSES’ NOTES. Innovation in Aging. 7(Supplement_1). 1060–1060. 1 indexed citations

Zolnoori, Maryam, et al.. (2023). ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia. Artificial Intelligence in Medicine. 143. 102624–102624. 20 indexed citations

10.

Hobensack, Mollie, et al.. (2023). Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review. Journal of the American Medical Directors Association. 25(1). 69–83. 9 indexed citations

11.

Barcelona, Veronica, Betina Idnay, Hans Moen, et al.. (2023). A qualitative analysis of stigmatizing language in birth admission clinical notes. Nursing Inquiry. 30(3). e12557–e12557. 16 indexed citations

12.

Zolnoori, Maryam, Yolanda Barrón, Jiyoun Song, et al.. (2023). HomeADScreen: Developing Alzheimer's disease and related dementia risk identification model in home healthcare. International Journal of Medical Informatics. 177. 105146–105146. 7 indexed citations

13.

Topaz, Maxim, Jiyoun Song, Anahita Davoudi, et al.. (2023). Home Health Care Clinicians’ Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study. SHILAP Revista de lepidopterología. 6. e42552–e42552. 3 indexed citations

14.

Chae, Sena, Anahita Davoudi, Jiyoun Song, et al.. (2023). Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. Journal of the American Medical Informatics Association. 30(10). 1622–1633. 8 indexed citations

15.

Song, Jiyoun, Sena Chae, Kathryn H. Bowles, et al.. (2022). The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care. Journal of Advanced Nursing. 79(2). 593–604. 6 indexed citations

16.

Song, Jiyoun, Kathryn H. Bowles, Margaret V. McDonald, et al.. (2022). Detecting Language Associated With Home Healthcare Patient’s Risk for Hospitalization and Emergency Department Visit. Nursing Research. 71(4). 285–294. 29 indexed citations

17.

Zolnoori, Maryam, Margaret V. McDonald, Yolanda Barrón, et al.. (2020). Improving Patient Prioritization During Hospital-Homecare Transition: Protocol for a Mixed Methods Study of a Clinical Decision Support Tool Implementation. JMIR Research Protocols. 10(1). e20184–e20184. 10 indexed citations

18.

Long, Aidan A., et al.. (2019). Mining Social Media Data to Assess the Risk of Skin and Soft Tissue Infections from Allergen Immunotherapy. Journal of Allergy and Clinical Immunology. 143(2). AB58–AB58. 1 indexed citations

19.

Topaz, Maxim, et al.. (2015). Higher 30-day and 60-day readmissions among patients who refuse post acute care services.. PubMed. 21(6). 424–33. 16 indexed citations

20.

Bowles, Kathryn H., Diane E. Holland, Sheryl Potashnik, Maxim Topaz, & Alexandra L. Hanlon. (2012). Impact of Discharge Planning Decision Support on 30 and 60 Day Readmissions.. AMIA. 2 indexed citations

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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