Jeffrey S. Buzas

3.5k citations
52 papers · 2.5k indexed · 2 hit papers · h-index 20
Topics
Neonatal Respiratory Health Research (10 papers)Statistical Methods and Inference (9 papers)Infant Development and Preterm Care (8 papers)

In The Last Decade

Jeffrey S. Buzas

46 papers receiving 2.4k citations

Hit Papers

Mortality and Neonatal Morbidity Among Infants 501 to 150...201220262016202120122017100200300400

Peers

Jeffrey S. Buzas
Comparison fields: 5 of 156
  • Pulmonary and Respiratory Medicine 1.1k
  • Pediatrics, Perinatology and Child Health 838
  • Ecology 470
  • Nutrition and Dietetics 445
  • Surgery 353
Replace Michael F. Schneider with:
Michael F. Schneider United States
Robert S. Greenberg United States
A. G. Thomson United Kingdom
Torben Bjerregaard Larsen Denmark
Mats Eriksson Sweden
Roberto de Marco Italy
Mary Lesperance Canada
Ken B. Newman United States
Daniel M. Cohen United States
John B. O’Sullivan United States
Jeffrey S. Buzas relative to Michael F. Schneider United States Michael F. Schneider's profile →
Citations per field
00.5×1.5×2.2×
Michael F. Schneider · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Buzas

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Buzas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Buzas. 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 Jeffrey S. Buzas. The network helps show where Jeffrey S. Buzas may publish in the future.

Co-authorship network of co-authors of Jeffrey S. Buzas

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Buzas. A scholar is included among the top collaborators of Jeffrey S. Buzas 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 Jeffrey S. Buzas. Jeffrey S. Buzas 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 1
6 38
7 4
8 7
9 88
10 24
11 6
12 86
13 8
14 0
15 133
16 52
17 65
18 74
19 8
20 177

About Jeffrey S. Buzas

Jeffrey S. Buzas is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (10 papers), Statistical Methods and Inference (9 papers) and Infant Development and Preterm Care (8 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (838 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Ecological Modeling (128 citations). Jeffrey S. Buzas has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jeffrey D. Horbar, Roger F. Soll, Kate A. Morrow, Gary J. Badger, Erika M. Edwards, Joseph H. Carpenter, Therese M. Donovan, Paula MacKay, Robert A. Long and William J. Zielinski. Their work appears in journals such as Science, Journal of the American Statistical Association and PLoS ONE.

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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