Karin Zielinski

19 total papers · 657 total citations
14 papers, 410 citations indexed

About

Karin Zielinski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Karin Zielinski has authored 14 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Karin Zielinski's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Karin Zielinski is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Karin Zielinski collaborates with scholars based in Germany and France. Karin Zielinski's co-authors include R. Laur, Petra Weitkemper, K.-D. Kammeyer, Bernd Orlik, Michael Teutsch and Karl‐Dirk Kammeyer and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Fraunhofer-Publica (Fraunhofer-Gesellschaft) and Computational intelligence.

In The Last Decade

Karin Zielinski

14 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
Karin Zielinski	243	193	88	72	47	14	410
Yang Zhilian	293 1.2×	108 0.6×	78 0.9×	131 1.8×	33 0.7×	15	448
Xue Feng	263 1.1×	239 1.2×	81 0.9×	63 0.9×	49 1.0×	29	465
Saroj Kumar Sahoo	267 1.1×	141 0.7×	55 0.6×	51 0.7×	44 0.9×	11	396
Koon Meng Ang	239 1.0×	121 0.6×	88 1.0×	85 1.2×	25 0.5×	15	486
Dongdong Yang	310 1.3×	182 0.9×	60 0.7×	59 0.8×	21 0.4×	23	483
E.C. Laskari	213 0.9×	98 0.5×	99 1.1×	59 0.8×	47 1.0×	15	407
Andi Tang	251 1.0×	104 0.5×	76 0.9×	76 1.1×	43 0.9×	13	455
Hardi M. Mohammed	248 1.0×	119 0.6×	59 0.7×	52 0.7×	47 1.0×	10	420
Elliackin Figueiredo	228 0.9×	100 0.5×	61 0.7×	48 0.7×	41 0.9×	16	367
Ashutosh Bhadoria	226 0.9×	133 0.7×	220 2.5×	79 1.1×	26 0.6×	17	488

Countries citing papers authored by Karin Zielinski

Since Specialization

Citations

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

Fields of papers citing papers by Karin Zielinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Zielinski

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