Lotte E. Terwindt

698 total citations · 1 hit paper
17 papers, 399 citations indexed

About

Lotte E. Terwindt is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Lotte E. Terwindt has authored 17 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Lotte E. Terwindt's work include Hemodynamic Monitoring and Therapy (12 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Sepsis Diagnosis and Treatment (5 papers). Lotte E. Terwindt is often cited by papers focused on Hemodynamic Monitoring and Therapy (12 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Sepsis Diagnosis and Treatment (5 papers). Lotte E. Terwindt collaborates with scholars based in Netherlands, United States and Slovakia. Lotte E. Terwindt's co-authors include Denise P. Veelo, Marije Wijnberge, Alexander P. J. Vlaar, Bart F. Geerts, Markus W. Hollmann, Marijn P. Mulder, Jimmy Schenk, Liselotte Hol, Ward H. van der Ven and Björn J. P. van der Ster and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Critical Care Medicine.

In The Last Decade

Lotte E. Terwindt

14 papers receiving 393 citations

Hit Papers

Effect of a Machine Learning–Derived Early Warning System... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lotte E. Terwindt Netherlands 6 273 231 109 57 42 17 399
Marijn P. Mulder Netherlands 6 269 1.0× 245 1.1× 109 1.0× 72 1.3× 38 0.9× 10 407
Liselotte Hol Netherlands 7 262 1.0× 226 1.0× 109 1.0× 50 0.9× 32 0.8× 12 429
Timur Sellmann Germany 8 83 0.3× 74 0.3× 44 0.4× 17 0.3× 27 0.6× 31 322
Alexander Bonde Denmark 7 161 0.6× 78 0.3× 36 0.3× 13 0.2× 14 0.3× 21 260
Daniel Fudulu United Kingdom 12 155 0.6× 234 1.0× 12 0.1× 69 1.2× 68 1.6× 56 365
Eric N. Meier United States 10 152 0.6× 25 0.1× 33 0.3× 64 1.1× 37 0.9× 20 548
Haleh Hashemighouchani United States 7 57 0.2× 69 0.3× 48 0.4× 9 0.2× 21 0.5× 11 195
Nathan C. Hurley United States 6 257 0.9× 181 0.8× 43 0.4× 252 4.4× 29 0.7× 13 477
Sarah Mullin United States 5 238 0.9× 425 1.8× 15 0.1× 59 1.0× 23 0.5× 15 648
Boris Pfahringer Germany 4 66 0.2× 78 0.3× 65 0.6× 24 0.4× 101 2.4× 4 337

Countries citing papers authored by Lotte E. Terwindt

Since Specialization
Citations

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

Fields of papers citing papers by Lotte E. Terwindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lotte E. Terwindt. 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 Lotte E. Terwindt. The network helps show where Lotte E. Terwindt may publish in the future.

Co-authorship network of co-authors of Lotte E. Terwindt

This figure shows the co-authorship network connecting the top 25 collaborators of Lotte E. Terwindt. A scholar is included among the top collaborators of Lotte E. Terwindt 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 Lotte E. Terwindt. Lotte E. Terwindt 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.
Lam, Y. W. Francis, Rogier V. Immink, Jimmy Schenk, et al.. (2025). The role of blood pressure versus oxygen administration on cerebral oxygenation during and after anaesthesia induction. European Journal of Anaesthesiology. 43(3). 226–234.
2.
Ven, Ward H. van der, Lotte E. Terwindt, Eline Kho, et al.. (2025). Differences in incidence of post-induction hypotension depending on the time of day: a post-hoc propensity score matched analysis. Journal of Clinical Anesthesia. 107. 111984–111984.
3.
Kho, Eline, Rogier V. Immink, Ward H. van der Ven, et al.. (2024). Defining Postinduction Hemodynamic Instability With an Automated Classification Model. Anesthesia & Analgesia. 140(2). 444–452. 1 indexed citations
4.
Klei, Wilton A. van, Markus W. Hollmann, Denise P. Veelo, et al.. (2024). The effect of proactive versus reactive treatment of hypotension on postoperative disability and outcome in surgical patients under anaesthesia (PRETREAT): clinical trial protocol and considerations. SHILAP Revista de lepidopterología. 9. 100262–100262. 3 indexed citations
5.
Terwindt, Lotte E., Ward H. van der Ven, Björn J. P. van der Ster, et al.. (2024). The influence of anesthetic drug strategy on the incidence of post-induction hypotension in elective, non-cardiac surgery – A prospective observational cohort study. Journal of Clinical Anesthesia. 99. 111671–111671. 1 indexed citations
6.
Tol, J., Lotte E. Terwindt, Marije Wijnberge, et al.. (2024). Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU Patients. Journal of Personalized Medicine. 14(2). 210–210. 1 indexed citations
7.
Schuurmans, Jaap, Jimmy Schenk, Björn J. P. van der Ster, et al.. (2024). Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial. Critical Care Medicine. 53(2). e328–e340. 6 indexed citations
10.
Stone, Alexander B., Markus W. Hollmann, Lotte E. Terwindt, & Philipp Lirk. (2023). Chronic post amputation pain: pathophysiology and prevention options for a heterogenous phenomenon. Current Opinion in Anaesthesiology. 36(5). 572–579. 3 indexed citations
11.
Terwindt, Lotte E., Jaap Schuurmans, Björn J. P. van der Ster, et al.. (2022). Incidence, Severity and Clinical Factors Associated with Hypotension in Patients Admitted to an Intensive Care Unit: A Prospective Observational Study. Journal of Clinical Medicine. 11(22). 6832–6832. 5 indexed citations
12.
Wijnberge, Marije, Jos R. C. Jansen, Michael R. Pinsky, et al.. (2022). Feasibility to estimate mean systemic filling pressure with inspiratory holds at the bedside. Frontiers in Physiology. 13. 1041730–1041730. 4 indexed citations
13.
14.
Ven, Ward H. van der, Lotte E. Terwindt, Marije Wijnberge, et al.. (2021). Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study. Journal of Clinical Monitoring and Computing. 36(5). 1397–1405. 18 indexed citations
15.
Wijnberge, Marije, Bart F. Geerts, Liselotte Hol, et al.. (2020). Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery. JAMA. 323(11). 1052–1052. 321 indexed citations breakdown →
16.
Terwindt, Lotte E., Susanne Eberl, Marije Wijnberge, et al.. (2019). Patient blood management in the cardiac surgical setting: An updated overview. Transfusion and Apheresis Science. 58(4). 397–407. 10 indexed citations
17.

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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