Andre L. Holder

2.3k total citations · 1 hit paper
39 papers, 1.4k citations indexed

About

Andre L. Holder is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andre L. Holder has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 13 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andre L. Holder's work include Sepsis Diagnosis and Treatment (27 papers), Hemodynamic Monitoring and Therapy (12 papers) and Machine Learning in Healthcare (9 papers). Andre L. Holder is often cited by papers focused on Sepsis Diagnosis and Treatment (27 papers), Hemodynamic Monitoring and Therapy (12 papers) and Machine Learning in Healthcare (9 papers). Andre L. Holder collaborates with scholars based in United States, United Kingdom and Netherlands. Andre L. Holder's co-authors include Shamim Nemati, Gari D. Clifford, Matthew D. Stanley, Timothy G. Buchman, Fereshteh Razmi, Supreeth P. Shashikumar, Qiao Li, Greg S. Martin, Rishikesan Kamaleswaran and Gabriel Wardi and has published in prestigious journals such as PLoS ONE, Scientific Reports and CHEST Journal.

In The Last Decade

Andre L. Holder

36 papers receiving 1.3k citations

Hit Papers

An Interpretable Machine Learning Model for Accurate Pred... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andre L. Holder United States 15 678 480 363 209 164 39 1.4k
Lucas Bulgarelli United States 10 485 0.7× 336 0.7× 203 0.6× 171 0.8× 201 1.2× 22 1.3k
Jana Hoffman United States 22 931 1.4× 840 1.8× 229 0.6× 203 1.0× 122 0.7× 41 1.7k
Uli K. Chettipally United States 21 888 1.3× 709 1.5× 325 0.9× 208 1.0× 230 1.4× 42 1.9k
L. Nelson Sanchez‐Pinto United States 20 789 1.2× 190 0.4× 299 0.8× 316 1.5× 153 0.9× 95 1.7k
Rishikesan Kamaleswaran United States 16 393 0.6× 286 0.6× 205 0.6× 219 1.0× 238 1.5× 117 1.1k
Jesse D. Raffa United States 16 1.6k 2.3× 546 1.1× 230 0.6× 167 0.8× 180 1.1× 43 2.4k
Michel E. van Genderen Netherlands 20 349 0.5× 135 0.3× 539 1.5× 155 0.7× 259 1.6× 65 1.3k
David Shimabukuro United States 11 593 0.9× 491 1.0× 150 0.4× 172 0.8× 57 0.3× 12 1.1k
Sicheng Hao United States 6 462 0.7× 297 0.6× 194 0.5× 129 0.6× 197 1.2× 14 1.2k
Trevor C. Yuen United States 19 799 1.2× 279 0.6× 494 1.4× 210 1.0× 298 1.8× 28 1.7k

Countries citing papers authored by Andre L. Holder

Since Specialization
Citations

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

Fields of papers citing papers by Andre L. Holder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andre L. Holder. 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 Andre L. Holder. The network helps show where Andre L. Holder may publish in the future.

Co-authorship network of co-authors of Andre L. Holder

This figure shows the co-authorship network connecting the top 25 collaborators of Andre L. Holder. A scholar is included among the top collaborators of Andre L. Holder 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 Andre L. Holder. Andre L. Holder 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.
Arora, Mehak, et al.. (2025). Improving clinical decision support through interpretable machine learning and error handling in electronic health records. Journal of the American Medical Informatics Association. 33(1). 123–132.
2.
Banja, John D., et al.. (2025). Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis. The American Journal of Bioethics. 26(2). 96–109. 2 indexed citations
3.
Nemati, Shamim, Ewan C. Goligher, Catherine L. Hough, et al.. (2025). Can we predict the future of respiratory failure prediction?. Critical Care. 29(1). 253–253. 1 indexed citations
4.
Krishnan, Preethi, Philip Yang, Sivasubramanium V. Bhavani, et al.. (2023). HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF). Physiological Measurement. 44(10). 105006–105006.
5.
Clark, Matthew, et al.. (2023). Overt and Occult Hypoxemia in Patients Hospitalized With COVID-19. Critical Care Explorations. 5(1). e0825–e0825. 5 indexed citations
6.
Amrollahi, Fatemeh, Supreeth P. Shashikumar, Andre L. Holder, & Shamim Nemati. (2022). Leveraging clinical data across healthcare institutions for continual learning of predictive risk models. Scientific Reports. 12(1). 8380–8380. 26 indexed citations
7.
Wardi, Gabriel, et al.. (2021). Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm. Annals of Emergency Medicine. 77(4). 395–406. 62 indexed citations
8.
Yang, Philip, Azade Tabaie, An-Kwok Ian Wong, et al.. (2021). eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PLoS ONE. 16(9). e0257056–e0257056. 30 indexed citations
9.
Holder, Andre L., Karan Uppal, Dean P. Jones, & Annette Esper. (2020). Metabolomics-Based Differentiation Between Severe Sepsis and Septic Shock. A2602–A2602. 1 indexed citations
10.
Douglas, Ivor S., Philip Alapat, Keith Corl, et al.. (2020). Fluid Response Evaluation in Sepsis Hypotension and Shock. CHEST Journal. 158(4). 1431–1445. 148 indexed citations
11.
Wong, An-Kwok Ian, Patricia Cheung, Rishikesan Kamaleswaran, Greg S. Martin, & Andre L. Holder. (2020). Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome. Frontiers in Big Data. 3. 579774–579774. 13 indexed citations
12.
Smith, Melanie, Evert A. Eriksson, Heather L. Evans, et al.. (2020). Major publications in the critical care pharmacotherapy literature: 2019. Journal of Critical Care. 62. 197–205. 6 indexed citations
13.
Shashikumar, Supreeth P., Matthew D. Stanley, Qiao Li, et al.. (2017). Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics. Journal of Electrocardiology. 50(6). 739–743. 110 indexed citations
14.
Holder, Andre L., et al.. (2016). Predictors of early progression to severe sepsis or shock among emergency department patients with nonsevere sepsis. International Journal of Emergency Medicine. 9(1). 10–10. 50 indexed citations
15.
Gómez, Hernando, Benjamin Kautza, Daniel Escobar, et al.. (2015). Inhaled Carbon Monoxide Protects against the Development of Shock and Mitochondrial Injury following Hemorrhage and Resuscitation. PLoS ONE. 10(9). e0135032–e0135032. 14 indexed citations
16.
Haugaa, Håkon, Hernando Gómez, Andre L. Holder, et al.. (2015). Effects of inhalation of low-dose nitrite or carbon monoxide on post-reperfusion mitochondrial function and tissue injury in hemorrhagic shock swine. Critical Care. 19(1). 184–184. 14 indexed citations
17.
Kautza, Benjamin, Hernando Gómez, Daniel Escobar, et al.. (2015). Inhaled, nebulized sodium nitrite protects in murine and porcine experimental models of hemorrhagic shock and resuscitation by limiting mitochondrial injury. Nitric Oxide. 51. 7–18. 4 indexed citations
18.
Holder, Andre L. & Gilles Clermont. (2014). Using What You Get. Critical Care Clinics. 31(1). 133–164. 18 indexed citations
19.
Holder, Andre L. & Michael R. Pinsky. (2014). Applied Physiology at the Bedside to Drive Resuscitation Algorithms. Journal of Cardiothoracic and Vascular Anesthesia. 28(6). 1642–1659. 5 indexed citations
20.
Poets, Christian F., Martin Samuels, John Hewertson, et al.. (1993). Home event recordings of oxygenation, breathing movements, and heart rate and rhythm in infants with recurrent life-threatening events. The Journal of Pediatrics. 123(5). 693–701. 41 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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