D. Alpert

1.5k citations
22 papers · 1.1k · h-index 12

Impact in

Papers in

D. Alpert

20 papers receiving 945 citations

Peers

D. Alpert
Comparison fields: 5 of 110
  • Statistics, Probability and Uncertainty 120
  • Atomic and Molecular Physics, and Optics 473
  • Electrical and Electronic Engineering 473
  • Radiation 60
  • Spectroscopy 115
Replace J. P. Hobson with:
J. P. Hobson Canada
J Yarwood United States
S. C. Haydon Australia
D. Hennig Germany
G. L. Salinger United States
George L. Trigg United States
Ralph H. Müller Germany
John H. Burnett United States
D.G. Armour United Kingdom
J. G. Mullen United States
D. Alpert relative to J. P. Hobson Canada J. P. Hobson's profile →
Citations per field
00.5×
J. P. Hobson · 1×
Citations per year

Countries citing papers authored by D. Alpert

Since Specialization
Citations

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

Fields of papers citing papers by D. Alpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside D. Alpert, 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. Alpert Line = papers co-authored together D. Alpert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1953239
2 1964207
3 1954161
4 1970114
5 1954111
6 195249
7 196740
8 196737
9 195137
10 196733
11 195133
12 195322
13 195710
14
Demonstration uncertainty/sensitivity analysis using the health and economic consequence model CRAC2
198510
15 19589
16 19558
17 20236
18 19593
19
ELECTRICAL BREAKDOWN IN HIGH VACUUM
19623
20
Uncertainty and sensitivity analysis for reactor accident consequence models
19851

About D. Alpert

D. Alpert is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (5 papers), Vacuum and Plasma Arcs (4 papers), High voltage insulation and dielectric phenomena (3 papers), Gas Dynamics and Kinetic Theory (2 papers), Advanced Chemical Physics Studies (2 papers), Luminescence Properties of Advanced Materials (2 papers), Laser Design and Applications (2 papers) and Atomic and Molecular Physics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (120 citations), Atomic and Molecular Physics, and Optics (473 citations), Electrical and Electronic Engineering (473 citations), Radiation (60 citations) and Spectroscopy (115 citations). D. Alpert has collaborated with scholars based in United States and Switzerland. Frequent co-authors include H. E. Tomaschke, E. M. Lyman, Donald L. Bitzer, A. O. McCoubrey, T. Holstein, Wolfgang Lange, Ronald L. Iman, J.C. Helton, Jay Johnson and Steven B. Nicoll. Their work appears in journals such as Journal of Applied Physics, Review of Scientific Instruments, Vacuum, Science and JOR Spine.

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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