Peter Schatte

630 citations
48 papers · 430 indexed · h-index 9
Topics
Benford’s Law and Fraud Detection (20 papers)Computability, Logic, AI Algorithms (11 papers)Analytic Number Theory Research (7 papers)
Partner nations
GermanyJapan

In The Last Decade

Peter Schatte

40 papers receiving 373 citations

Peers

Peter Schatte
Comparison fields: 5 of 53
  • Statistics and Probability 173
  • Management Science and Operations Research 163
  • Finance 162
  • Mathematical Physics 151
  • Computational Theory and Mathematics 80
Replace Vladimir Rotar with:
Vladimir Rotar Russia
Radu Theodorescu Canada
V. S. Korolyuk Ukraine
Harry Cohn Australia
William N. Hudson United States
N. Etemadi United States
L. Saulis Lithuania
Zbigniew J. Jurek Poland
Peter Sarkoci Austria
José Juan Quesada-Molina Spain
Peter Schatte relative to Vladimir Rotar Russia Vladimir Rotar's profile →
Citations per field
00.5×1.5×2.1×
Vladimir Rotar · 1×
Citations per year

Countries citing papers authored by Peter Schatte

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schatte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schatte

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schatte. A scholar is included among the top collaborators of Peter Schatte 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 Peter Schatte. Peter Schatte 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 0
2 4
3 1
4 1
5 4
6 3
7
On mantissa distributions in computing and Benford's law
33
8 3
9 15
10
On the asymptotic behaviour of the Mantissa distributions of sums
4
11 6
12 1
13 16
14 3
15 32
16
A Performance Model for Idealized Multiprocessors.
1
17
On the Finite Populaiton GI/M/1 Queue and its Application to Multiprogrammed Computers.
1
18 1
19 2
20 15

About Peter Schatte

Peter Schatte is a scholar working on Statistics and Probability, Algebra and Number Theory and Theoretical Computer Science, having authored 48 papers that have together received 430 indexed citations. Recurring topics across this work include Benford’s Law and Fraud Detection (20 papers), Computability, Logic, AI Algorithms (11 papers) and Analytic Number Theory Research (7 papers). The work is most often cited by research in Statistics and Probability (173 citations), Mathematical Physics (151 citations) and Finance (162 citations). Peter Schatte has collaborated with scholars based in Germany and Japan. Frequent co-authors include Gloria Montenegro and Kenji Nagasaka. Their work appears in journals such as Probability Theory and Related Fields, Studia Mathematica and Computing.

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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