Jonathan Gellar

12 papers receiving 273 citations

Peers

Jonathan Gellar
Comparison fields: 5 of 65
  • Critical Care and Intensive Care Medicine 76
  • Speech and Hearing 57
  • Radiological and Ultrasound Technology 25
  • Statistics and Probability 33
  • Behavioral Neuroscience 6
Replace Silke Filipovic with:
Silke Filipovic Germany
Ying-Tai Wu Taiwan
Miriam C. Faes Netherlands
Hiromu Naraba Japan
John Corcoran United States
Paolo Cimino Italy
Peter Allcroft Australia
Hajime Katsukawa Japan
Edmund Manning Ireland
J. Jancik United States
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Citations per field
00.5×
Silke Filipovic · 1×
Citations per year

Countries citing papers authored by Jonathan Gellar

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Gellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Gellar, 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 Jonathan Gellar Line = papers co-authored together Jonathan Gellar links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2013120
2 201470
3 201429
4 201527
5 20237
6 20117
7 20197
8 20194
9 20223
10 20222
11 20242
12 20232

About Jonathan Gellar

Jonathan Gellar is a scholar working on Statistics and Probability, General Health Professions, Public Health, Environmental and Occupational Health, Economics and Econometrics and Social Psychology, having authored 12 papers that have together received 280 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (2 papers), Palliative Care and End-of-Life Issues (2 papers), Behavioral Health and Interventions (1 paper), Attachment and Relationship Dynamics (1 paper), Disability Education and Employment (1 paper), Advanced Causal Inference Techniques (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (76 citations), Speech and Hearing (57 citations), Radiological and Ultrasound Technology (25 citations), Statistics and Probability (33 citations) and Behavioral Neuroscience (6 citations). Jonathan Gellar has collaborated with scholars based in United States and Cayman Islands. Frequent co-authors include Dale M. Needham, Pedro A. Mendez-Tellez, Carl Shanholtz, Ciprian M. Crainiceanu, Elizabeth Colantuoni, Peter J. Pronovost, O. Joseph Bienvenu, Benjamin M. Althouse, Thiti Sricharoenchai and Victor D. Dinglas. Their work appears in journals such as Journal of Critical Care, Family Relations, Health Affairs, Journal of the Royal Statistical Society Series A (Statistics in Society) and Journal of the American Statistical Association.

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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