Robert E. Silverman

683 citations
26 papers · 596 · h-index 12

Impact in

Papers in

Robert E. Silverman

24 papers receiving 507 citations

Peers

Robert E. Silverman
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 110
  • Cardiology and Cardiovascular Medicine 79
  • Cellular and Molecular Neuroscience 66
  • General Psychology 5
  • Experimental and Cognitive Psychology 43
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Citations per year

Countries citing papers authored by Robert E. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Silverman. 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 Robert E. Silverman. The network helps show where Robert E. Silverman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993121
2 201094
3 198177
4 198448
5 198545
6 198232
7 195632
8 199322
9 196020
10 196017
11 198717
12 195416
13 199311
14
RESPONSE MODE, PACING, AND MOTIVATIONAL EFFECTS IN TEACHING MACHINES.
196111
15 19579
16 19578
17 19763
18 19993
19
Essentials of psychology
19792
20 19592

About Robert E. Silverman

Robert E. Silverman is a scholar working on Cellular and Molecular Neuroscience, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 596 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Nerve injury and regeneration (3 papers), Peptidase Inhibition and Analysis (2 papers), Pancreatic function and diabetes (2 papers), Retinal Diseases and Treatments (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (110 citations), Cardiology and Cardiovascular Medicine (79 citations), Cellular and Molecular Neuroscience (66 citations), General Psychology (5 citations) and Experimental and Cognitive Psychology (43 citations). Robert E. Silverman has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Maureen I Harris, Catherine C. Cowie, Keith Rust, Ernest W. Johnson, Ralph Bradshaw, Phillip Görden, Kenneth A. Thomas, R A Bradshaw, Ingming Jeng and Lelio Orci. Their work appears in journals such as Diabetes Care, Journal of Biological Chemistry, Diabetologia, Journal of Applied Psychology and Biochemistry.

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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