D. G. Nel

1.2k citations
50 papers · 830 · h-index 15

Impact in

Papers in

D. G. Nel

46 papers receiving 793 citations

Peers

D. G. Nel
Comparison fields: 5 of 143
  • Statistics and Probability 144
  • Complementary and Manual Therapy 21
  • Nutrition and Dietetics 139
  • Clinical Psychology 173
  • Computational Mathematics 4
Replace Hyokyoung G. Hong with:
Hyokyoung G. Hong United States
Tania Prvan Australia
Vance W. Berger United States
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Girdhar G. Agarwal India
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Citations per field
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Hyokyoung G. Hong · 1×
Citations per year

Countries citing papers authored by D. G. Nel

Since Specialization
Citations

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

Fields of papers citing papers by D. G. Nel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. Nel. 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 D. G. Nel. The network helps show where D. G. Nel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986114
2 200597
3 200490
4
On matrix differentiation in statistics
198068
5 201458
6 200444
7
Acute renal failure in the medical ICU still predictive of high mortality.
200936
8 201536
9 200633
10 201824
11 201322
12 201318
13 198518
14 200914
15 201214
16 201512
17 202311
18 199411
19 201510
20
Depression and anxiety in multisomatoform disorder : prevalence and clinical predictors in primary care
20118

About D. G. Nel

D. G. Nel is a scholar working on Statistics and Probability, Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, General Health Professions and Clinical Psychology, having authored 50 papers that have together received 830 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Spectroscopy and Chemometric Analyses (3 papers), Bayesian Methods and Mixture Models (3 papers), Prenatal Substance Exposure Effects (3 papers), Child Nutrition and Water Access (2 papers), Statistical Methods and Applications (2 papers), Infant Nutrition and Health (2 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). The work is most often cited by research in Statistics and Probability (144 citations), Complementary and Manual Therapy (21 citations), Nutrition and Dietetics (139 citations), Clinical Psychology (173 citations) and Computational Mathematics (4 citations). D. G. Nel has collaborated with scholars based in South Africa, United States and Australia. Frequent co-authors include C.A. van der Merwe, Renée Blaauw, Dan J. Stein, Soraya Seedat, Christine Löchner, Evette van Niekerk, Dana Niehaus, Greta Geerts, Pieter L. du Toit and Lars Bode. Their work appears in journals such as Clinical Nutrition, The Journal of Maternal-Fetal & Neonatal Medicine, Food Research International, Breastfeeding Medicine and Acta Obstetricia Et Gynecologica Scandinavica.

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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