Stephen Greene

71 papers receiving 2.9k citations

Peers

Stephen Greene
Comparison fields: 5 of 169
  • Endocrinology, Diabetes and Metabolism 930
  • Family Practice 107
  • Applied Psychology 194
  • Speech and Hearing 197
  • Pediatrics, Perinatology and Child Health 536
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Lynn Ackerson United States
P Yudkin United Kingdom
Lisa M Wilson United States
Julian H. Barth United Kingdom
Lisa M. LaVange United States
Virginia P. Quinn United States
Andrew Clegg United Kingdom
Paramjit Gill United Kingdom
Hsin‐Chieh Yeh United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Greene

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998456
2 2006451
3 1997406
4 2016167
5 2008149
6 2003103
7 200995
8 195891
9 200690
10 201182
11 199976
12
RACOFI: A Rule-Applying Collaborative Filtering System
200359
13 200659
14 200357
15 201056
16 199550
17 199842
18 199942
19 202241
20 199138

About Stephen Greene

Stephen Greene is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Pediatrics, Perinatology and Child Health, Genetics and Surgery, having authored 72 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (21 papers), Diabetes and associated disorders (9 papers), Birth, Development, and Health (7 papers), Child and Adolescent Health (7 papers), Analytical Chemistry and Chromatography (6 papers), Pancreatic function and diabetes (6 papers), Obesity, Physical Activity, Diet (6 papers) and Mobile Health and mHealth Applications (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (930 citations), Family Practice (107 citations), Applied Psychology (194 citations), Speech and Hearing (197 citations) and Pediatrics, Perinatology and Child Health (536 citations). Stephen Greene has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Annalu Waller, Claudia Pagliari, J. S. Forsyth, Abbie Wilson, R. W. Newton, Victoria Franklin, Peter Howie, Linda Irvine, Chi M. Hau and Thomas M. MacDonald. Their work appears in journals such as Analytical Chemistry, Archives of Disease in Childhood, Diabetic Medicine, Pediatric Diabetes and The Journal of Physical Chemistry.

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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