Robert Palmér

32 total papers · 709 total citations
27 papers, 486 citations indexed

About

Robert Palmér is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert Palmér has authored 27 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Critical Care and Intensive Care Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert Palmér's work include Intensive Care Unit Cognitive Disorders (5 papers), Pneumonia and Respiratory Infections (5 papers) and Anesthesia and Sedative Agents (3 papers). Robert Palmér is often cited by papers focused on Intensive Care Unit Cognitive Disorders (5 papers), Pneumonia and Respiratory Infections (5 papers) and Anesthesia and Sedative Agents (3 papers). Robert Palmér collaborates with scholars based in United States, Australia and United Kingdom. Robert Palmér's co-authors include Gerard Notario, Stuart Atkinson, María Claudia Pérez, Todd Busman, Salam Zakko, Ronnie Fass, William D. Chey, Mark H. Gotfried, Andrew Whelton and Ernie Riffer and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Robert Palmér

25 papers receiving 456 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Palmér 171 168 114 86 79 27 486
Ming Hou 98 0.6× 165 1.0× 115 1.0× 87 1.0× 28 0.4× 28 460
Sukumar Suguna Narasimhulu 149 0.9× 89 0.5× 52 0.5× 108 1.3× 40 0.5× 17 493
Jiwon Park 41 0.2× 126 0.8× 104 0.9× 47 0.5× 59 0.7× 37 521
Nikolaos Liratzopoulos 132 0.8× 282 1.7× 64 0.6× 102 1.2× 11 0.1× 27 547
Robert Quercia 54 0.3× 90 0.5× 61 0.5× 100 1.2× 35 0.4× 31 547
Qun Yan 62 0.4× 212 1.3× 45 0.4× 71 0.8× 17 0.2× 34 539
T. Rannem 72 0.4× 182 1.1× 75 0.7× 66 0.8× 13 0.2× 24 472
Refael Segal 56 0.3× 110 0.7× 19 0.2× 58 0.7× 36 0.5× 31 473
P Wittebol 113 0.7× 165 1.0× 90 0.8× 76 0.9× 29 0.4× 18 468
Matteo Guarino 171 1.0× 96 0.6× 89 0.8× 23 0.3× 51 0.6× 46 431

Countries citing papers authored by Robert Palmér

Since Specialization
Citations

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

Fields of papers citing papers by Robert Palmér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Palmér

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

All Works

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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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