J. A. Morrison

136 papers receiving 2.4k citations

Peers

J. A. Morrison
Comparison fields: 5 of 171
  • Management Information Systems 543
  • Pharmaceutical Science 173
  • Endocrinology, Diabetes and Metabolism 325
  • Management Science and Operations Research 231
  • Computer Networks and Communications 415
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Citations per year

Countries citing papers authored by J. A. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Morrison. 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 J. A. Morrison. The network helps show where J. A. Morrison may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974232
2
The Cincinnati Lipid Research Clinic family study: cultural and biological determinants of lipids and lipoprotein concentrations.
1982123
3 199691
4 199978
5
Acne vulgaris in early adolescent boys. Correlations with pubertal maturation and age.
199178
6 198072
7 198167
8 198365
9
Sociodemographic factors and obesity in preadolescent black and white girls: NHLBI's Growth and Health Study.
199763
10 198059
11 197858
12 198557
13 199655
14 199454
15
Alcohol intake, cigarette smoking and plasma lipids and lipoproteins in 12--19-year-old children. The Collaborative Lipid Research Clinics Prevalence Study.
198143
16 197942
17 197541
18 198240
19 199138
20 200338

About J. A. Morrison

J. A. Morrison is a scholar working on Management Information Systems, Computer Networks and Communications, Endocrinology, Diabetes and Metabolism, Management Science and Operations Research and Organic Chemistry, having authored 143 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (42 papers), Network Traffic and Congestion Control (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Probability and Risk Models (10 papers), Fluorine in Organic Chemistry (10 papers), Inorganic Fluorides and Related Compounds (9 papers), Obesity, Physical Activity, Diet (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Management Information Systems (543 citations), Pharmaceutical Science (173 citations), Endocrinology, Diabetes and Metabolism (325 citations), Management Science and Operations Research (231 citations) and Computer Networks and Communications (415 citations). J. A. Morrison has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Charles J. Glueck, Debasis Mitra, Philip R. Khoury, Tomohiro Ishikawa, Joseph MacGee, Peter M. Laskarzewski, R. J. LAGOW, K. G. Ramakrishnan, Karen Kelly and L. J. Krause. Their work appears in journals such as Inorganic Chemistry, SIAM Journal on Applied Mathematics, Queueing Systems, Journal of the American Chemical Society and Advances in Applied Probability.

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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