Alex Kronzer

826 total citations
7 papers, 157 citations indexed

About

Alex Kronzer is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Alex Kronzer has authored 7 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Alex Kronzer's work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hemodynamic Monitoring and Therapy (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Alex Kronzer is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hemodynamic Monitoring and Therapy (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Alex Kronzer collaborates with scholars based in United States and Canada. Alex Kronzer's co-authors include Arbi Ben Abdallah, Michael S. Avidan, Bradley A. Fritz, Christopher R. King, Yixin Chen, Muhan Zhang, Zhicheng Cui, Yujie He, Troy S. Wildes and Sherry McKinnon and has published in prestigious journals such as Critical Care Medicine, Anesthesia & Analgesia and British Journal of Anaesthesia.

In The Last Decade

Alex Kronzer

6 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Kronzer United States	5	88	86	33	19	17	7	157
Haleh Hashemighouchani United States	7	69 0.8×	57 0.7×	48 1.5×	12 0.6×	23 1.4×	11	195
Yuwei Qiu China	9	176 2.0×	217 2.5×	16 0.5×	64 3.4×	3 0.2×	19	295
Ali Bozorgi Iran	10	169 1.9×	61 0.7×	10 0.3×	14 0.7×	3 0.2×	54	288
Lisette M. Vernooij Netherlands	9	161 1.8×	162 1.9×	5 0.2×	36 1.9×	3 0.2×	38	278
Young‐Tae Jeon South Korea	7	58 0.7×	76 0.9×	5 0.2×	48 2.5×	6 0.4×	13	264
Matthew Hollings Australia	6	115 1.3×	27 0.3×	13 0.4×	2 0.1×	7 0.4×	20	229
Ching‐Tang Chiu Taiwan	7	38 0.4×	60 0.7×	3 0.1×	18 0.9×	5 0.3×	18	125
Hongtao Cheng China	9	31 0.4×	30 0.3×	4 0.1×	14 0.7×	12 0.7×	27	212
Marine Flechet Belgium	10	36 0.4×	66 0.8×	15 0.5×	3 0.2×	40 2.4×	16	366
Aditya Mazmudar United States	7	35 0.4×	194 2.3×	21 0.6×	9 0.5×	7 0.4×	26	286

Countries citing papers authored by Alex Kronzer

Since Specialization

Citations

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

Fields of papers citing papers by Alex Kronzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Kronzer

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

All Works

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7 of 7 papers shown

Fritz, Bradley A., Christopher R. King, Alex Kronzer, et al.. (2024). Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial. British Journal of Anaesthesia. 133(5). 1042–1050. 4 indexed citations

Pennington, Bethany R Tellor, Katherine J. Holzer, Bradley A. Fritz, et al.. (2024). Brain-Hazardous Medications and Potential Subadequate Antidepressant Dosing in Older Surgical Patients Receiving Home Antidepressants: An Observational Study of a Large US Health System. Anesthesia & Analgesia. 139(1). 155–164. 1 indexed citations

Liu, Hao, Christopher R. King, Joanna Abraham, et al.. (2022). 294: PREDICTING ICU LENGTH OF STAY PRIOR TO ICU ADMISSION USING META-LEARNING. Critical Care Medicine. 51(1). 132–132.

Gregory, Stephen H., Christopher R. King, Arbi Ben Abdallah, Alex Kronzer, & Troy S. Wildes. (2020). Abnormal preoperative cognitive screening in aged surgical patients: a retrospective cohort analysis. British Journal of Anaesthesia. 126(1). 230–237. 12 indexed citations

Willingham, Mark D., Govind Rangrass, Arbi Ben Abdallah, et al.. (2019). Association between postoperative complications and lingering post-surgical pain: an observational cohort study. British Journal of Anaesthesia. 124(2). 214–221. 35 indexed citations

Fritz, Bradley A., Zhicheng Cui, Muhan Zhang, et al.. (2019). Deep-learning model for predicting 30-day postoperative mortality. British Journal of Anaesthesia. 123(5). 688–695. 77 indexed citations

Fritz, Bradley A., Yixin Chen, Stephen H. Gregory, et al.. (2018). Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. BMJ Open. 8(4). e020124–e020124. 28 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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