Bor Plestenjak

72 total papers · 603 total citations
44 papers, 402 citations indexed

About

Bor Plestenjak is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Mathematical Physics. According to data from OpenAlex, Bor Plestenjak has authored 44 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 24 papers in Numerical Analysis and 6 papers in Mathematical Physics. Recurrent topics in Bor Plestenjak's work include Matrix Theory and Algorithms (32 papers), Numerical methods for differential equations (17 papers) and Advanced Optimization Algorithms Research (11 papers). Bor Plestenjak is often cited by papers focused on Matrix Theory and Algorithms (32 papers), Numerical methods for differential equations (17 papers) and Advanced Optimization Algorithms Research (11 papers). Bor Plestenjak collaborates with scholars based in Slovenia, Netherlands and United States. Bor Plestenjak's co-authors include Michiel E. Hochstenbach, Andrej Muhič, Tomaž Košir, Karl Meerbergen, Christian Mehl, Hauke Gravenkamp, Tomaž Pisanski, Ante Graovac, Joost Rommes and Claire Prada and has published in prestigious journals such as Journal of Computational Physics, The Journal of the Acoustical Society of America and Journal of Sound and Vibration.

In The Last Decade

Bor Plestenjak

39 papers receiving 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bor Plestenjak	280	202	59	57	52	44	402
A. Bouhamidi	153 0.5×	91 0.5×	61 1.0×	41 0.7×	130 2.5×	35	373
Leonardo Robol	168 0.6×	75 0.4×	24 0.4×	42 0.7×	30 0.6×	44	371
Shuzi Zhou	211 0.8×	253 1.3×	38 0.6×	19 0.3×	130 2.5×	34	431
Ninoslav Truhar	247 0.9×	174 0.9×	20 0.3×	59 1.0×	70 1.3×	39	419
Yongxin Yuan	204 0.7×	148 0.7×	36 0.6×	40 0.7×	15 0.3×	71	424
Silvia Noschese	175 0.6×	84 0.4×	21 0.4×	88 1.5×	32 0.6×	39	424
Ivan Slapničar	301 1.1×	154 0.8×	13 0.2×	88 1.5×	37 0.7×	36	444
Guang-Xin Huang	235 0.8×	166 0.8×	12 0.2×	32 0.6×	73 1.4×	35	408
Lidia Aceto	153 0.5×	231 1.1×	31 0.5×	24 0.4×	52 1.0×	38	404
Zhongyun Liu	210 0.8×	119 0.6×	9 0.2×	57 1.0×	26 0.5×	47	333

Countries citing papers authored by Bor Plestenjak

Since Specialization

Citations

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

Fields of papers citing papers by Bor Plestenjak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bor Plestenjak

This figure shows the co-authorship network connecting the top 25 collaborators of Bor Plestenjak. A scholar is included among the top collaborators of Bor Plestenjak 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 Bor Plestenjak. Bor Plestenjak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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