Christopher A. Hane

1.5k total citations
17 papers, 1.0k citations indexed

About

Christopher A. Hane is a scholar working on Epidemiology, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Christopher A. Hane has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Christopher A. Hane's work include Chronic Disease Management Strategies (5 papers), Machine Learning in Healthcare (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Christopher A. Hane is often cited by papers focused on Chronic Disease Management Strategies (5 papers), Machine Learning in Healthcare (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Christopher A. Hane collaborates with scholars based in United States, Canada and United Kingdom. Christopher A. Hane's co-authors include Cynthia Barnhart, George L. Nemhauser, Pamela H. Vance, Ellis L. Johnson, Gabriele Sigismondi, Roy E. Marsten, Lloyd W. Clarke, E. L. Johnson, Lisa J. McGarry and Joseph Biskupiak and has published in prestigious journals such as PLoS ONE, Operations Research and Mathematical Programming.

In The Last Decade

Christopher A. Hane

17 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Hane United States 11 506 167 159 137 135 17 1.0k
Stefan Ravizza United Kingdom 10 75 0.1× 16 0.1× 202 1.3× 127 0.9× 11 552
Christophe Duhamel France 16 595 1.2× 26 0.2× 1 0.0× 9 0.1× 57 0.4× 61 923
Monica Gentili Italy 20 232 0.5× 3 0.0× 4 0.0× 3 0.0× 461 3.4× 57 1.2k
Zheng Zhu China 20 42 0.1× 40 0.2× 9 0.1× 792 5.9× 81 1.3k
E. L. Johnson United States 11 348 0.7× 2 0.0× 67 0.4× 1 0.0× 23 0.2× 17 672
Christina M. Mastrangelo United States 17 178 0.4× 16 0.1× 4 0.0× 4 0.0× 5 0.0× 56 1.3k
Yongjia Song United States 16 192 0.4× 8 0.0× 4 0.0× 66 0.5× 45 745
Karthik K. Srinivasan India 20 26 0.1× 16 0.1× 14 0.1× 832 6.2× 69 1.3k
João Soares Portugal 11 82 0.2× 15 0.1× 4 0.0× 56 0.4× 18 1.0k
Amirhossein Amiri Iran 25 222 0.4× 16 0.1× 5 0.0× 14 0.1× 171 2.7k

Countries citing papers authored by Christopher A. Hane

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Hane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Hane. 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 Christopher A. Hane. The network helps show where Christopher A. Hane may publish in the future.

Co-authorship network of co-authors of Christopher A. Hane

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

All Works

17 of 17 papers shown
1.
Alemi, Farrokh, et al.. (2022). Procedure for Organizing a Post-FDA-approval Evaluation of Antidepressants. Cureus. 14(10). e29884–e29884. 3 indexed citations
2.
Min, Hua, et al.. (2022). Improving the Accuracy of Predictive Models for Outcomes of Antidepressants by Using an Ontological Adjustment Approach. Applied Sciences. 12(3). 1479–1479. 1 indexed citations
3.
Hane, Christopher A. & Melanie Wasserman. (2022). Designing Equitable Health Care Outreach Programs From Machine Learning Patient Risk Scores. Medical Care Research and Review. 80(2). 216–227. 2 indexed citations
4.
Alemi, Farrokh, et al.. (2021). Effectiveness of common antidepressants: a post market release study. EClinicalMedicine. 41. 101171–101171. 22 indexed citations
5.
Hane, Christopher A., et al.. (2020). Predicting Onset of Dementia Using Clinical Notes and Machine Learning: Case-Control Study. JMIR Medical Informatics. 8(6). e17819–e17819. 19 indexed citations
6.
Hane, Christopher A., et al.. (2020). Deep neural network models for identifying incident dementia using claims and EHR datasets. PLoS ONE. 15(9). e0236400–e0236400. 23 indexed citations
7.
Jeffery, Molly M., Christine E. Chaisson, Christopher A. Hane, et al.. (2020). Assessment of Potentially Inappropriate Prescribing of Opioid Analgesics Requiring Prior Opioid Tolerance. JAMA Network Open. 3(4). e202875–e202875. 9 indexed citations
8.
Hane, Christopher A., et al.. (2019). Identifying incident dementia by applying machine learning to a very large administrative claims dataset. PLoS ONE. 14(7). e0203246–e0203246. 40 indexed citations
9.
Hane, Christopher A., William H. Crown, Rhoda Au, et al.. (2019). Machine learning models to predict onset of dementia: A label learning approach. Alzheimer s & Dementia Translational Research & Clinical Interventions. 5(1). 918–925. 52 indexed citations
10.
McCoy, Rozalina G., et al.. (2016). Development and Validation of HealthImpact: An Incident Diabetes Prediction Model Based on Administrative Data. Health Services Research. 51(5). 1896–1918. 8 indexed citations
11.
McAdam‐Marx, Carrie, Lisa J. McGarry, Christopher A. Hane, et al.. (2011). All-Cause and Incremental Per Patient Per Year Cost Associated with Chronic Hepatitis C Virus and Associated Liver Complications in the United States: A Managed Care Perspective. Journal of Managed Care Pharmacy. 17(7). 531–546. 147 indexed citations
12.
Barnhart, Cynthia, Christopher A. Hane, & Pamela H. Vance. (2000). Using Branch-and-Price-and-Cut to Solve Origin-Destination Integer Multicommodity Flow Problems. Operations Research. 48(2). 318–326. 216 indexed citations
13.
Barnhart, Cynthia, Christopher A. Hane, & Pamela H. Vance. (1996). Integer Muticommodity Flow Problems. 58–71. 2 indexed citations
14.
Clarke, Lloyd W., Christopher A. Hane, E. L. Johnson, & George L. Nemhauser. (1996). Maintenance and Crew Considerations in Fleet Assignment. Transportation Science. 30(3). 249–260. 117 indexed citations
15.
Hane, Christopher A. & H. Donald Ratliff. (1995). Sequencing inputs to multi-commodity pipelines. Annals of Operations Research. 57(1). 73–101. 46 indexed citations
16.
Hane, Christopher A., Cynthia Barnhart, Ellis L. Johnson, et al.. (1995). The fleet assignment problem: Solving a large-scale integer program. Mathematical Programming. 70(1-3). 211–232. 285 indexed citations
17.
Barnhart, Cynthia, Christopher A. Hane, Ellis L. Johnson, & Gabriele Sigismondi. (1994). A column generation and partitioning approach for multi-commodity flow problems. Telecommunication Systems. 3(3). 239–258. 40 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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