Steve Nyemba

413 total citations
13 papers, 222 citations indexed

About

Steve Nyemba is a scholar working on Health Information Management, Artificial Intelligence and Information Systems. According to data from OpenAlex, Steve Nyemba has authored 13 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Information Management, 6 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Steve Nyemba's work include Electronic Health Records Systems (6 papers), Ethics in Clinical Research (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Steve Nyemba is often cited by papers focused on Electronic Health Records Systems (6 papers), Ethics in Clinical Research (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Steve Nyemba collaborates with scholars based in United States. Steve Nyemba's co-authors include Bradley Malin, You Chen, Wen Zhang, Nancy M. Lorenzi, Jonathan S. Schildcrout, Chao Yan, Yongtai Liu, Weiyi Xia, Zhuohang Li and Yevgeniy Vorobeychik and has published in prestigious journals such as Journal of the American Medical Informatics Association, International Journal of Medical Informatics and Journal of Biomedical Informatics.

In The Last Decade

Steve Nyemba

12 papers receiving 211 citations

Peers

Steve Nyemba

HIM

CNC

MSOR

Walter Sujansky United States

Duane Bender Canada

Güneş Koru United States

Jean Charlet France

Kathrin Dentler Netherlands

Yousef Asiri Saudi Arabia

Randolph C. Barrows United States

Fatemeh Navidi Iran

Marcos Da Silveira Luxembourg

Mustafa Yüksel Türkiye

Walter Sujansky United States

Steve Nyemba

138 ×1.8

157 ×2.2

HIM

58 ×0.9

CNC

52 ×0.8

55 ×1.5

MSOR

Citations per year, relative to Steve Nyemba Steve Nyemba (= 1×) peers Walter Sujansky

Countries citing papers authored by Steve Nyemba

Since Specialization

Citations

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

Fields of papers citing papers by Steve Nyemba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Nyemba

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

All Works

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13 of 13 papers shown

Yan, Chao, et al.. (2024). Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial. PubMed. 3. e52615–e52615. 6 indexed citations

Xia, Weiyi, Melissa Basford, Robert J. Carroll, et al.. (2023). Managing re-identification risks while providing access to the All of Us research program. Journal of the American Medical Informatics Association. 30(5). 907–914. 9 indexed citations

Zhang, Ziqi, Chao Yan, Xinmeng Zhang, Steve Nyemba, & Bradley Malin. (2022). Forecasting the future clinical events of a patient through contrastive learning. Journal of the American Medical Informatics Association. 29(9). 1584–1592. 6 indexed citations

Carrell, David, Bradley Malin, David Cronkite, et al.. (2020). Resilience of clinical text de-identified with “hiding in plain sight” to hostile reidentification attacks by human readers. Journal of the American Medical Informatics Association. 27(9). 1374–1382.

Xia, Weiyi, Yongtai Liu, Zhiyu Wan, et al.. (2020). OUP accepted manuscript. Journal of the American Medical Informatics Association. 28(4). 744–752. 11 indexed citations

Carrell, David, David Cronkite, Steve Nyemba, et al.. (2019). The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight. Journal of the American Medical Informatics Association. 26(12). 1536–1544. 8 indexed citations

Chen, You, Nancy M. Lorenzi, Steve Nyemba, Jonathan S. Schildcrout, & Bradley Malin. (2014). We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records. International Journal of Medical Informatics. 83(7). 495–506. 22 indexed citations

Nyemba, Steve, et al.. (2013). Requirements and design for an extensible toolkit for analyzing EMR audit logs. 6–6. 2 indexed citations

Chen, You, Steve Nyemba, Wen Zhang, & Bradley Malin. (2012). Specializing network analysis to detect anomalous insider actions. PubMed. 1(1). 29 indexed citations

10.

Chen, You, Steve Nyemba, & Bradley Malin. (2012). Detecting Anomalous Insiders in Collaborative Information Systems. IEEE Transactions on Dependable and Secure Computing. 9(3). 332–344. 64 indexed citations

11.

Chen, You, Steve Nyemba, & Bradley Malin. (2012). Auditing medical records accesses via healthcare interaction networks.. PubMed. 2012. 93–102. 11 indexed citations

12.

Malin, Bradley, et al.. (2011). Learning relational policies from electronic health record access logs. Journal of Biomedical Informatics. 44(2). 333–342. 39 indexed citations

13.

Chen, You, et al.. (2011). Leveraging social networks to detect anomalous insider actions in collaborative environments. PubMed. 2011. 119–124. 15 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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