Joerg Gablonsky

18 total papers · 713 total citations
13 papers, 500 citations indexed

About

Joerg Gablonsky is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Joerg Gablonsky has authored 13 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Management Science and Operations Research. Recurrent topics in Joerg Gablonsky's work include Advanced Multi-Objective Optimization Algorithms (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Optimal Experimental Design Methods (2 papers). Joerg Gablonsky is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Optimal Experimental Design Methods (2 papers). Joerg Gablonsky collaborates with scholars based in United States, Australia and Canada. Joerg Gablonsky's co-authors include C. T. Kelley, Evin Cramer, Andrew Lang, Cass T. Miller, Andrew Booker, D. Finkel, Matthew W. Farthing, Christopher E. Kees, Genetha A. Gray and Kathleen Fowler and has published in prestigious journals such as SIAM Review, Advances in Water Resources and Journal of Global Optimization.

In The Last Decade

Joerg Gablonsky

13 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Joerg Gablonsky	206	168	133	60	55	13	500
J. E. Dennis	310 1.5×	273 1.6×	75 0.6×	78 1.3×	33 0.6×	13	522
Leonid G. Khachiyan	204 1.0×	93 0.6×	104 0.8×	47 0.8×	7 0.1×	8	505
Oleg Burdakov	124 0.6×	154 0.9×	88 0.7×	50 0.8×	14 0.3×	44	577
Hande Y. Benson	207 1.0×	220 1.3×	48 0.4×	167 2.8×	24 0.4×	23	507
Walter J. Grantham	122 0.6×	44 0.3×	80 0.6×	208 3.5×	16 0.3×	32	582
Peter Spellucci	139 0.7×	112 0.7×	32 0.2×	125 2.1×	16 0.3×	17	477
Hans Paul Künzi	157 0.8×	108 0.6×	35 0.3×	92 1.5×	12 0.2×	16	482
Cosmin G. Petra	117 0.6×	120 0.7×	23 0.2×	93 1.6×	18 0.3×	31	514
Marat S. Mukhametzhanov	305 1.5×	139 0.8×	185 1.4×	70 1.2×	4 0.1×	27	583
Harvey Dubner	57 0.3×	46 0.3×	25 0.2×	22 0.4×	29 0.5×	22	573

Countries citing papers authored by Joerg Gablonsky

Since Specialization

Citations

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

Fields of papers citing papers by Joerg Gablonsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joerg Gablonsky

This figure shows the co-authorship network connecting the top 25 collaborators of Joerg Gablonsky. A scholar is included among the top collaborators of Joerg Gablonsky 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 Joerg Gablonsky. Joerg Gablonsky 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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