Gottlieb Pirsic

22 papers receiving 168 citations

Peers

Gottlieb Pirsic
Comparison fields: 5 of 29
  • Numerical Analysis 116
  • Artificial Intelligence 57
  • Computer Vision and Pattern Recognition 54
  • Computational Theory and Mathematics 28
  • Algebra and Number Theory 27
Replace Wolfgang Ch. Schmid with:
Wolfgang Ch. Schmid Austria
Alev Topuzoğlu Türkiye
Irina Shevtsova Russia
Grigori Litvinov Russia
Werner Schachinger Austria
N. G. Ushakov Russia
Charles Hobby United States
Petar Vasić Serbia
John P. May United States
Chinnaraji Annamalai India
Gottlieb Pirsic relative to Wolfgang Ch. Schmid Austria Wolfgang Ch. Schmid's profile →
Citations per field
00.5×11×
Wolfgang Ch. Schmid · 1×
Citations per year

Countries citing papers authored by Gottlieb Pirsic

Since Specialization
Citations

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

Fields of papers citing papers by Gottlieb Pirsic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gottlieb Pirsic

This figure shows the co-authorship network connecting the top 25 collaborators of Gottlieb Pirsic. A scholar is included among the top collaborators of Gottlieb Pirsic 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 Gottlieb Pirsic. Gottlieb Pirsic 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 3
2 2
3 1
4 2
5 11
6 2
7 4
8 23
9 3
10
An Algebraic Approach to the Analysis of Gerber-Shiu Functions
2
11
THE QUALITY PARAMETER OF CYCLIC NETS AND HYPERPLANE NETS
2
12 4
13 21
14 2
15 22
16 11
17 35
18 1
19 13
20
Base Changesfor (t,m,s)-Nets and Related Sequences
4

About Gottlieb Pirsic

Gottlieb Pirsic is a scholar working on Numerical Analysis, Algebra and Number Theory and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 191 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (15 papers), Digital Image Processing Techniques (9 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Numerical Analysis (116 citations), Algebra and Number Theory (27 citations) and Discrete Mathematics and Combinatorics (15 citations). Gottlieb Pirsic has collaborated with scholars based in Austria, Singapore and Spain. Frequent co-authors include Harald Niederreiter, Wolfgang Ch. Schmid, Friedrich Pillichshammer, Gerhard Larcher, Gretchen L. Matthews, Hansjörg Albrecher, Georg Regensburger, Markus Rosenkranz, Corina Constantinescu and Josef Dick. Their work appears in journals such as SIAM Journal on Numerical Analysis, Pacific Journal of Mathematics and Insurance Mathematics and Economics.

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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