Michael Baram

85 papers receiving 1.7k citations

Michael Baram's Hit Papers

Does Central Venous Pressure Predict Fluid Responsiveness?*: A Systematic Review of the Literature and the Tale of Seven Mares 2008 · 955 citations
9550+6+12Years since publication250500750

Peers

Michael Baram
Comparison fields: 5 of 141
  • Critical Care and Intensive Care Medicine 372
  • Radiological and Ultrasound Technology 190
  • Nephrology 197
  • Statistics, Probability and Uncertainty 179
  • Medical Laboratory Technology 38
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Countries citing papers authored by Michael Baram

Since Specialization
Citations

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

Fields of papers citing papers by Michael Baram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Baram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Baram Line = papers co-authored together Michael Baram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Does Central Venous Pressure Predict Fluid Responsiveness?*: A Systematic Review of the Literature and the Tale of Seven Mares
Hit paper breakdown →
2008955
2 2000103
3 201345
4 200737
5 200737
6 201336
7 198033
8 201032
9 198432
10 201130
11 201629
12 200521
13 201020
14 201220
15 201319
16 201316
17 200616
18 201315
19 197115
20 201314

About Michael Baram

Michael Baram is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery, Critical Care and Intensive Care Medicine and Epidemiology, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (18 papers), Respiratory Support and Mechanisms (13 papers), Intensive Care Unit Cognitive Disorders (10 papers), Cardiac Arrest and Resuscitation (10 papers), COVID-19 Clinical Research Studies (7 papers), Sepsis Diagnosis and Treatment (7 papers), Hemodynamic Monitoring and Therapy (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (372 citations), Radiological and Ultrasound Technology (190 citations), Nephrology (197 citations), Statistics, Probability and Uncertainty (179 citations) and Medical Laboratory Technology (38 citations). Michael Baram has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Paul E. Marik, Bobbak Vahid, Steve Simister, Angela Hale, Christopher R. Gilbert, Nicholas C. Cavarocchi, Hitoshi Hirose, Eleanor M. Summerhill, John R. Cohn and Andrew D. Lerner. Their work appears in journals such as CHEST Journal, Respiratory Care, Critical Care Medicine, Critical Care Clinics and Safety Science.

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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