D.J. Albert

177 papers receiving 4.5k citations

Hit Papers

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram 2019 · 209 citations
209201920262021202350100150200

Peers

D.J. Albert
Comparison fields: 5 of 163
  • Behavioral Neuroscience 793
  • Social Psychology 1.3k
  • Health Informatics 73
  • Reproductive Medicine 444
  • Cardiology and Cardiovascular Medicine 1.1k
Replace Robert E. Watson with:
Robert E. Watson United States
Tracy K. McIntosh United States
Caroline M. Nievergelt United States
Masayuki Matsumoto Japan
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D.J. Albert relative to Robert E. Watson United States Robert E. Watson's profile →
Citations per field
00.5×10×14.6×
Robert E. Watson · 1×
Citations per year

Countries citing papers authored by D.J. Albert

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974214
2
Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram
Hit paper breakdown →
2019209
3 2019159
4 1993123
5 1992119
6 1986117
7 1990115
8 1975107
9 1980107
10 1984105
11 1986104
12 1972104
13 197499
14 197895
15 202182
16 198281
17 198377
18 201675
19 202174
20 197774

About D.J. Albert

D.J. Albert is a scholar working on Behavioral Neuroscience, Social Psychology, Sensory Systems, Reproductive Medicine and Cardiology and Cardiovascular Medicine, having authored 180 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (56 papers), Stress Responses and Cortisol (39 papers), ECG Monitoring and Analysis (24 papers), Hypothalamic control of reproductive hormones (18 papers), Cardiac electrophysiology and arrhythmias (14 papers), Olfactory and Sensory Function Studies (13 papers), Memory and Neural Mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Behavioral Neuroscience (793 citations), Social Psychology (1.3k citations), Health Informatics (73 citations), Reproductive Medicine (444 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). D.J. Albert has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include M.L. Walsh, R.H. Jonik, Stephen Richmond, James F. Holland, Donald J. Higby, H. James Wallace, Grace Chew, Dušan Petrović, Leonard H Storlien and Boris B. Gorzalka. Their work appears in journals such as Physiology & Behavior, The Journal of Urology, Pharmacology Biochemistry and Behavior, Circulation and Neuroscience & Biobehavioral Reviews.

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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