Christopher S. Josef

1.0k total citations
13 papers, 606 citations indexed

About

Christopher S. Josef is a scholar working on Epidemiology, Artificial Intelligence and Family Practice. According to data from OpenAlex, Christopher S. Josef has authored 13 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Artificial Intelligence and 3 papers in Family Practice. Recurrent topics in Christopher S. Josef's work include Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (4 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). Christopher S. Josef is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (4 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). Christopher S. Josef collaborates with scholars based in United States, Netherlands and China. Christopher S. Josef's co-authors include Shamim Nemati, Ashish Sharma, Supreeth P. Shashikumar, Bruce D. Spiess, Michael J. Feldman, Matthew A. Reyna, M. Brandon Westover, Russell Jeter, Gari D. Clifford and Rishikesan Kamaleswaran and has published in prestigious journals such as Critical Care Medicine, Toxicology and Surgery.

In The Last Decade

Christopher S. Josef

13 papers receiving 583 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 S. Josef United States 8 237 216 110 105 99 13 606
Shiying Hao United States 15 194 0.8× 167 0.8× 104 0.9× 58 0.6× 103 1.0× 43 774
Lucas M. Fleuren Netherlands 11 345 1.5× 217 1.0× 64 0.6× 25 0.2× 78 0.8× 22 708
Ke Lin China 11 170 0.7× 137 0.6× 33 0.3× 125 1.2× 64 0.6× 23 564
Jun Ji China 16 122 0.5× 52 0.2× 177 1.6× 53 0.5× 177 1.8× 41 736
Yibing Zhu China 14 259 1.1× 51 0.2× 54 0.5× 68 0.6× 76 0.8× 48 555
Christopher W. Barton United States 11 310 1.3× 257 1.2× 81 0.7× 21 0.2× 120 1.2× 17 733
Matthew D. Stanley United States 6 381 1.6× 352 1.6× 71 0.6× 20 0.2× 131 1.3× 8 681
Charlotte Zwager Netherlands 4 243 1.0× 169 0.8× 59 0.5× 15 0.1× 64 0.6× 7 551
Max Horn Switzerland 9 207 0.9× 211 1.0× 29 0.3× 72 0.7× 60 0.6× 17 507

Countries citing papers authored by Christopher S. Josef

Since Specialization
Citations

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

Fields of papers citing papers by Christopher S. Josef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher S. Josef

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

All Works

13 of 13 papers shown
1.
Ramesh, Karthik, Supreeth P. Shashikumar, Atul Malhotra, et al.. (2025). Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey. Critical Care Explorations. 7(6). e1276–e1276. 1 indexed citations
2.
Lam, Jonathan Y., et al.. (2024). The impact of laboratory data missingness on sepsis diagnosis timeliness. JAMIA Open. 7(3). ooae085–ooae085. 1 indexed citations
3.
Xie, Yao, et al.. (2023). Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE Journal on Selected Areas in Information Theory. 4. 747–761. 1 indexed citations
4.
Wardi, Gabriel, Robert L. Owens, Christopher S. Josef, et al.. (2023). Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us. Critical Care Medicine. 51(8). 985–991. 22 indexed citations
5.
6.
Smith, Jeffrey C., Christopher S. Josef, Yao Xie, & Rishikesan Kamaleswaran. (2022). Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence.. PubMed. 2022. 982–991. 1 indexed citations
7.
Shashikumar, Supreeth P., Christopher S. Josef, Ashish Sharma, & Shamim Nemati. (2021). DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis. Artificial Intelligence in Medicine. 113. 102036–102036. 56 indexed citations
8.
Wong, An-Kwok Ian, Rishikesan Kamaleswaran, Azade Tabaie, et al.. (2021). Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data. Critical Care Explorations. 3(5). e0402–e0402. 7 indexed citations
9.
Wong, An-Kwok Ian, Marie‐Laure Charpignon, Han Kim, et al.. (2021). Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality. JAMA Network Open. 4(11). e2131674–e2131674. 131 indexed citations
10.
Reyna, Matthew A., Christopher S. Josef, Russell Jeter, et al.. (2019). Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019. Critical Care Medicine. 48(2). 210–217. 204 indexed citations
11.
Josef, Christopher S., et al.. (2015). A modern literature review of carbon monoxide poisoning theories, therapies, and potential targets for therapy advancement.. Toxicology. 334. 45–58. 120 indexed citations
12.
Josef, Christopher S., et al.. (2015). Preclinical evaluation of injectable reduced hydroxocobalamin as an antidote to acute carbon monoxide poisoning. The Journal of Trauma: Injury, Infection, and Critical Care. 79(4). S116–S120. 22 indexed citations
13.
Politano, Antonio, Lin M. Riccio, Douglas E. Lake, et al.. (2013). Predicting the need for urgent intubation in a surgical/trauma intensive care unit. Surgery. 154(5). 1110–1116. 35 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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