Nehemiah T. Liu

623 total citations
27 papers, 476 citations indexed

About

Nehemiah T. Liu is a scholar working on Emergency Medicine, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nehemiah T. Liu has authored 27 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Emergency Medicine, 12 papers in Epidemiology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nehemiah T. Liu's work include Cardiac Arrest and Resuscitation (11 papers), Burn Injury Management and Outcomes (11 papers) and Trauma and Emergency Care Studies (9 papers). Nehemiah T. Liu is often cited by papers focused on Cardiac Arrest and Resuscitation (11 papers), Burn Injury Management and Outcomes (11 papers) and Trauma and Emergency Care Studies (9 papers). Nehemiah T. Liu collaborates with scholars based in United States, South Sudan and Norway. Nehemiah T. Liu's co-authors include José Salinas, Charles E. Wade, John B. Holcomb, Leopoldo C. Cancio, Andriy I. Batchinsky, Maria Serio-Melvin, Kevin K. Chung, Slava Belenkiy, James K. Aden and Jonathan B. Lundy and has published in prestigious journals such as Computers in Biology and Medicine, Shock and Burns.

In The Last Decade

Nehemiah T. Liu

26 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nehemiah T. Liu United States 12 254 176 77 72 71 27 476
Robert Dickson United States 10 249 1.0× 135 0.8× 72 0.9× 26 0.4× 104 1.5× 27 419
Vivek K. Reddy United States 7 93 0.4× 169 1.0× 39 0.5× 70 1.0× 112 1.6× 10 329
Majid Shojaee Iran 10 122 0.5× 72 0.4× 169 2.2× 41 0.6× 25 0.4× 56 356
Manuel F. Struck Germany 12 150 0.6× 90 0.5× 149 1.9× 22 0.3× 124 1.7× 75 483
Patrick F. Walker United States 13 124 0.5× 146 0.8× 281 3.6× 195 2.7× 115 1.6× 37 518
Göksel Güven Türkiye 10 73 0.3× 95 0.5× 136 1.8× 67 0.9× 41 0.6× 27 382
Julien Bordes France 15 262 1.0× 122 0.7× 138 1.8× 31 0.4× 241 3.4× 40 640
Kanwal Kumar Canada 11 114 0.4× 105 0.6× 139 1.8× 366 5.1× 66 0.9× 20 510
Pierre Esnault France 14 230 0.9× 117 0.7× 150 1.9× 64 0.9× 212 3.0× 50 634
Ellen C. Keeley United States 9 46 0.2× 110 0.6× 72 0.9× 285 4.0× 49 0.7× 24 354

Countries citing papers authored by Nehemiah T. Liu

Since Specialization
Citations

This map shows the geographic impact of Nehemiah T. Liu'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 Nehemiah T. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nehemiah T. Liu more than expected).

Fields of papers citing papers by Nehemiah T. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nehemiah T. Liu. 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 Nehemiah T. Liu. The network helps show where Nehemiah T. Liu may publish in the future.

Co-authorship network of co-authors of Nehemiah T. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nehemiah T. Liu. A scholar is included among the top collaborators of Nehemiah T. Liu 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 Nehemiah T. Liu. Nehemiah T. Liu 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.
Rizzo, Julie A, Nehemiah T. Liu, Maria Serio-Melvin, et al.. (2022). The Battle of the Titans—Comparing Resuscitation Between Five Major Burn Centers Using the Burn Navigator. Journal of Burn Care & Research. 44(2). 446–451. 7 indexed citations
2.
3.
Liu, Nehemiah T., et al.. (2019). Relationship Between Burn Wound Location and Outcomes in Severely Burned Patients: More Than Meets the Size. Journal of Burn Care & Research. 40(5). 558–565. 5 indexed citations
4.
Liu, Nehemiah T. & José Salinas. (2017). Machine Learning for Predicting Outcomes in Trauma. Shock. 48(5). 504–510. 79 indexed citations
5.
Liu, Nehemiah T., John B. Holcomb, Charles E. Wade, & José Salinas. (2017). Inefficacy of standard vital signs for predicting mortality and the need for prehospital life-saving interventions in blunt trauma patients transported via helicopter. The Journal of Trauma: Injury, Infection, and Critical Care. 83(1). S98–S103. 14 indexed citations
6.
Liu, Nehemiah T., et al.. (2017). The impact of patient weight on burn resuscitation. The Journal of Trauma: Injury, Infection, and Critical Care. 83(1). S112–S119. 22 indexed citations
7.
Liu, Nehemiah T., Michael G. Salter, Richard D. Branson, et al.. (2016). Closed-Loop Control of FiO2 Rapidly Identifies Need For Rescue Ventilation and Reduces ARDS Severity in a Conscious Sheep Model of Burn and Smoke Inhalation Injury. Shock. 47(2). 200–207. 9 indexed citations
8.
Liu, Nehemiah T., José Salinas, Maria Serio-Melvin, et al.. (2016). Predicting the proportion of full-thickness involvement for any given burn size based on burn resuscitation volumes. The Journal of Trauma: Injury, Infection, and Critical Care. 81(5). S144–S149. 7 indexed citations
9.
Belenkiy, Slava, Jonathan B. Lundy, Ian J. Stewart, et al.. (2016). Acute Respiratory Distress Syndrome in Burn Patients. Journal of Burn Care & Research. 37(5). e461–e469. 27 indexed citations
10.
Liu, Nehemiah T. & José Salinas. (2015). Machine learning in burn care and research: A systematic review of the literature. Burns. 41(8). 1636–1641. 32 indexed citations
11.
Liu, Nehemiah T., John B. Holcomb, Charles E. Wade, & José Salinas. (2015). Improving the Prediction of Mortality and the Need for Life-Saving Interventions in Trauma Patients Using Standard Vital Signs With Heart-Rate Variability and Complexity. Shock. 43(6). 549–555. 23 indexed citations
12.
13.
Liu, Nehemiah T. & José Salinas. (2015). Machine learning and new vital signs monitoring in civilian en route care. The Journal of Trauma: Injury, Infection, and Critical Care. 81(5). S111–S115. 3 indexed citations
14.
Belenkiy, Slava, Jeremy W. Cannon, James K. Aden, et al.. (2014). Acute respiratory distress syndrome in wartime military burns. The Journal of Trauma: Injury, Infection, and Critical Care. 76(3). 821–827. 67 indexed citations
15.
Liu, Nehemiah T., et al.. (2014). Evaluation of standard versus nonstandard vital signs monitors in the prehospital and emergency departments. The Journal of Trauma: Injury, Infection, and Critical Care. 77(3). S121–S126. 12 indexed citations
16.
17.
Liu, Nehemiah T., John B. Holcomb, Charles E. Wade, et al.. (2013). Development and validation of a machine learning algorithm and hybrid system to predict the need for life-saving interventions in trauma patients. Medical & Biological Engineering & Computing. 52(2). 193–203. 49 indexed citations
18.
Liu, Nehemiah T., Leopoldo C. Cancio, José Salinas, & Andriy I. Batchinsky. (2013). Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sources. Journal of Clinical Monitoring and Computing. 28(2). 123–131. 5 indexed citations
19.
Liu, Nehemiah T., Andriy I. Batchinsky, Leopoldo C. Cancio, William L. Baker, & José Salinas. (2013). Development and validation of a novel fusion algorithm for continuous, accurate, and automated R-wave detection and calculation of signal-derived metrics. Journal of Critical Care. 28(5). 885.e9–885.e18. 10 indexed citations
20.
Liu, Nehemiah T., Andriy I. Batchinsky, Leopoldo C. Cancio, & José Salinas. (2013). The impact of noise on the reliability of heart-rate variability and complexity analysis in trauma patients. Computers in Biology and Medicine. 43(11). 1955–1964. 11 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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