Saša Singer

480 citations
15 papers · 283 · h-index 8

Impact in

Papers in

Saša Singer

13 papers receiving 271 citations

Peers

Saša Singer
Comparison fields: 5 of 98
  • Numerical Analysis 39
  • Computational Theory and Mathematics 66
  • Computational Mathematics 2
  • Signal Processing 17
  • Computational Mechanics 24
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Patricia Hough United States
D. Kraft Germany
El Mostafa Kalmoun Morocco
P.A. Grobelny Canada
Alberto Badías Spain
H. M. Paynter United States
Aleksey V. Nenarokomov Russia
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Citations per field
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Citations per year

Countries citing papers authored by Saša Singer

Since Specialization
Citations

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

Fields of papers citing papers by Saša Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Saša Singer, 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 Saša Singer Line = papers co-authored together Saša Singer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009156
2 200440
3
Complexity Analysis of Nelder--Mead Search Iterations
200115
4 201014
5 201312
6 201111
7 201111
8 20119
9 20095
10 20073
11
Symmetric indefinite factorization of quasidefinite matrices
19992
12 20142
13
Estimates for the spectral condition number of cardinal B-spline collocation matrices
20101
14
Some Applications of Direct Search Methods
19991
15
Efficient Termination Test for the Nelder-Mead Search Algorithm
20051

About Saša Singer

Saša Singer is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering and Computational Mechanics, having authored 15 papers that have together received 283 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (6 papers), Numerical methods for differential equations (5 papers), Advanced Optimization Algorithms Research (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Numerical Methods and Algorithms (2 papers), Geothermal Energy Systems and Applications (1 paper), Heat Transfer and Optimization (1 paper) and Microstructure and Mechanical Properties of Steels (1 paper). The work is most often cited by research in Numerical Analysis (39 citations), Computational Theory and Mathematics (66 citations), Computational Mathematics (2 citations), Signal Processing (17 citations) and Computational Mechanics (24 citations). Saša Singer has collaborated with scholars based in Croatia, France and United Kingdom. Frequent co-authors include J. A. Nelder, Vjeran Hari, Davor Davidović, Božo Smoljan, Vedran Dunjko, George Psihoyios, Theodore E. Simos and Ch. Tsitouras. Their work appears in journals such as Applied Mathematics and Computation, Journal of ASTM International, Linear Algebra and its Applications, Numerical Algorithms and Materials Performance and Characterization.

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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