E.H. Bareiss

1.5k citations
23 papers · 966 indexed · 1 hit paper · h-index 10
Co-authors
D. R. Hartree
Topics
Nuclear and radioactivity studies (3 papers)Numerical Methods and Algorithms (3 papers)Nuclear reactor physics and engineering (3 papers)
Partner nations
United States

In The Last Decade

E.H. Bareiss

21 papers receiving 823 citations

Hit Papers

The Calculation of Atomic Structures19602026198220041960100200300400

Peers

E.H. Bareiss
Comparison fields: 5 of 90
  • Atomic and Molecular Physics, and Optics 353
  • Computational Theory and Mathematics 317
  • Electrical and Electronic Engineering 120
  • Artificial Intelligence 111
  • Physical and Theoretical Chemistry 82
Replace Н. И. Ахиезер with:
Н. И. Ахиезер United States
H. S. Wall United States
E. R. Caianiello Italy
Henry Cohn United States
Stephen Hoffman
N. I︠a︡. Vilenkin
Piet Kasteleyn Netherlands
M. L. Mehta France
M. A. Naĭmark United States
Hidetosi Takahasi Japan
E.H. Bareiss relative to Н. И. Ахиезер United States Н. И. Ахиезер's profile →
Citations per field
00.5×4.1×
Н. И. Ахиезер · 1×
Citations per year

Countries citing papers authored by E.H. Bareiss

Since Specialization
Citations

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

Fields of papers citing papers by E.H. Bareiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.H. Bareiss

This figure shows the co-authorship network connecting the top 25 collaborators of E.H. Bareiss. A scholar is included among the top collaborators of E.H. Bareiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E.H. Bareiss. E.H. Bareiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 31
2 10
3 1
4 4
5 2
6 11
7 1
8 44
9
ANALYTIC METHODS IN THREE-DIMENSIONAL TRANSPORT THEORY.
1
10
COMPUTERS AND REACTOR DESIGN.
1
11 110
12 2
13 3
14 6
15 0
16 20
17 1
18 10
19
The Calculation of Atomic Structuresbreakdown →
460
20
RDR 4 INSTRUCTION MANUAL. DAVID TAYLOR MODEL BASIN ONE-DIMENSIONAL, ONE- GROUP TRANSPORT THEORY ROUTINE NO. 4 FOR NUCLEAR REACTOR DESIGN
1

About E.H. Bareiss

E.H. Bareiss is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 23 papers that have together received 966 indexed citations. Recurring topics across this work include Nuclear and radioactivity studies (3 papers), Numerical Methods and Algorithms (3 papers) and Nuclear reactor physics and engineering (3 papers). The work is most often cited by research in Computational Theory and Mathematics (317 citations), Computational Mathematics (11 citations) and Numerical Analysis (66 citations). E.H. Bareiss has collaborated with scholars based in United States. Frequent co-authors include D. R. Hartree. Their work appears in journals such as Communications of the ACM, Mathematics of Computation and Journal of the ACM.

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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