Jackson Steinkamp

548 total citations
23 papers, 339 citations indexed

About

Jackson Steinkamp is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jackson Steinkamp has authored 23 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jackson Steinkamp's work include Topic Modeling (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Jackson Steinkamp is often cited by papers focused on Topic Modeling (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Jackson Steinkamp collaborates with scholars based in United States, Canada and United Kingdom. Jackson Steinkamp's co-authors include Tessa S. Cook, Jacob Kantrowitz, Jacob T. Borodovsky, Lisa A. Marsch, Zev Schuman‐Olivier, Ian M. Kronish, Hanna M. Zafar, Pierre Chambon, Pamela A. Geller and Curtis P. Langlotz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and International Journal of Environmental Research and Public Health.

In The Last Decade

Jackson Steinkamp

23 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jackson Steinkamp United States 12 90 73 68 60 55 23 339
Adam Hanina United States 4 43 0.5× 44 0.6× 38 0.6× 94 1.6× 60 1.1× 5 377
Laura Shafner United States 5 43 0.5× 36 0.5× 39 0.6× 95 1.6× 63 1.1× 7 344
Mohy Uddin Saudi Arabia 10 70 0.8× 76 1.0× 53 0.8× 76 1.3× 78 1.4× 24 437
Shantanu Nundy United States 8 49 0.5× 62 0.8× 39 0.6× 44 0.7× 196 3.6× 11 436
Elizabeth Lindemann United States 10 65 0.7× 116 1.6× 42 0.6× 19 0.3× 107 1.9× 26 394
John D. McGreevey United States 7 53 0.6× 76 1.0× 26 0.4× 75 1.3× 84 1.5× 9 396
Minjie Xia China 7 123 1.4× 30 0.4× 46 0.7× 57 0.9× 26 0.5× 9 392
Rosy Tsopra France 13 71 0.8× 61 0.8× 25 0.4× 36 0.6× 83 1.5× 42 401
Jessica Schwartz United States 13 118 1.3× 146 2.0× 44 0.6× 95 1.6× 114 2.1× 27 558
Liesbet Van Bulck Belgium 10 101 1.1× 36 0.5× 67 1.0× 164 2.7× 98 1.8× 35 451

Countries citing papers authored by Jackson Steinkamp

Since Specialization
Citations

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

Fields of papers citing papers by Jackson Steinkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jackson Steinkamp

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

All Works

20 of 20 papers shown
1.
Albanese, Ariana M., Pamela A. Geller, Jackson Steinkamp, et al.. (2024). The education of experience: Mixed methods evidence demonstrates the benefit of multiparity. Midwifery. 134. 104015–104015. 1 indexed citations
2.
Horng, Hannah, Jackson Steinkamp, Charles E. Kahn, & Tessa S. Cook. (2022). Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. Journal of Digital Imaging. 35(6). 1694–1698. 3 indexed citations
3.
4.
Steinkamp, Jackson, et al.. (2022). Prevalence and Sources of Duplicate Information in the Electronic Medical Record. JAMA Network Open. 5(9). e2233348–e2233348. 38 indexed citations
5.
Chambon, Pierre, et al.. (2022). Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods. Journal of the American Medical Informatics Association. 30(2). 318–328. 27 indexed citations
6.
Steinkamp, Jackson, et al.. (2021). A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study. JMIR Formative Research. 5(11). e23789–e23789. 5 indexed citations
7.
Steinkamp, Jackson & Tessa S. Cook. (2021). Basic Artificial Intelligence Techniques. Radiologic Clinics of North America. 59(6). 919–931. 14 indexed citations
8.
Steinkamp, Jackson, et al.. (2021). Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. Journal of Digital Imaging. 34(2). 374–384. 11 indexed citations
9.
Steinkamp, Jackson, et al.. (2021). Beyond Notes: Why It Is Time to Abandon an Outdated Documentation Paradigm. Journal of Medical Internet Research. 23(4). e24179–e24179. 3 indexed citations
10.
Leri, Damien, Jackson Steinkamp, Joshua L. Denson, et al.. (2021). A Mobile, Electronic Health Record-Connected Application for Managing Team Workflows in Inpatient Care. Applied Clinical Informatics. 12(5). 1120–1134. 6 indexed citations
11.
Steinkamp, Jackson, et al.. (2020). Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports. Radiology Artificial Intelligence. 2(6). e190137–e190137. 11 indexed citations
12.
Steinkamp, Jackson, et al.. (2020). A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning. Applied Clinical Informatics. 11(4). 606–616. 15 indexed citations
13.
Albanese, Ariana M., Pamela A. Geller, Jackson Steinkamp, & Jennifer L. Barkin. (2020). In Their Own Words: A Qualitative Investigation of the Factors Influencing Maternal Postpartum Functioning in the United States. International Journal of Environmental Research and Public Health. 17(17). 6021–6021. 18 indexed citations
14.
Steinkamp, Jackson, et al.. (2019). Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. Journal of Digital Imaging. 32(4). 554–564. 34 indexed citations
15.
Steinkamp, Jackson, et al.. (2019). Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes. Journal of Biomedical Informatics. 102. 103354–103354. 23 indexed citations
16.
Steinkamp, Jackson, et al.. (2018). Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review. JMIR Mental Health. 6(3). e12493–e12493. 70 indexed citations
17.
Schuman‐Olivier, Zev, Jacob T. Borodovsky, Jackson Steinkamp, et al.. (2018). MySafeRx: a mobile technology platform integrating motivational coaching, adherence monitoring, and electronic pill dispensing for enhancing buprenorphine/naloxone adherence during opioid use disorder treatment: a pilot study. Addiction Science & Clinical Practice. 13(1). 21–21. 27 indexed citations
18.
Aggarwal, Rahul, et al.. (2018). Intensive Blood Pressure Targets for Diabetic and Other High-Risk Populations. Hypertension. 71(5). 833–839. 13 indexed citations
19.
Aggarwal, Rahul, et al.. (2017). Abstract P128: Intensive Blood Pressure Management in Chronic Kidney Disease Patients: An Analysis of the SPRINT Dataset. Hypertension. 70(suppl_1). 1 indexed citations
20.
Elman, Igor, Jacob T. Borodovsky, Margaret Howard, et al.. (2016). Co-occurring Disordered Gambling Among Treatment-Seekers at a Community Outpatient Addiction Clinic. Journal of Addiction Medicine. 10(5). 339–343. 4 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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