Daniel Živković

1.2k total citations
13 papers, 700 citations indexed

About

Daniel Živković is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Daniel Živković has authored 13 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 4 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Molecular Biology. Recurrent topics in Daniel Živković's work include Evolution and Genetic Dynamics (8 papers), Genetic diversity and population structure (7 papers) and Plant and animal studies (4 papers). Daniel Živković is often cited by papers focused on Evolution and Genetic Dynamics (8 papers), Genetic diversity and population structure (7 papers) and Plant and animal studies (4 papers). Daniel Živković collaborates with scholars based in Germany, Netherlands and Austria. Daniel Živković's co-authors include Nikolaos Alachiotis, Pavlos Pavlidis, Alexandros Stamatakis, Wolfgang Stephan, Aurélien Tellier, Stephan Hütter, Thomas Wiehe, Stefan Laurent, Pablo Duchen and Frank Johannes and has published in prestigious journals such as Genetics, Genome biology and Molecular Ecology.

In The Last Decade

Daniel Živković

13 papers receiving 691 citations

Peers

Daniel Živković

GENET

EEBS

ECOLO

Katharine L. Korunes United States

Sònia Casillas Spain

John M. Braverman United States

Anna Fijarczyk Canada

Joseph J. Vitti United States

Cathy Haag-Liautard United Kingdom

Gregory B. Ewing Switzerland

Khalid Belkhir France

B. L. Sheldon Australia

Diego Cortez Mexico

Katharine L. Korunes United States

Daniel Živković

381 ×0.8

GENET

190 ×0.8

144 ×0.8

101 ×1.0

EEBS

86 ×1.3

ECOLO

Citations per year, relative to Daniel Živković Daniel Živković (= 1×) peers Katharine L. Korunes

Countries citing papers authored by Daniel Živković

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Živković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Živković

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

All Works

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13 of 13 papers shown

Živković, Daniel, et al.. (2019). Neutral genomic signatures of host-parasite coevolution. BMC Evolutionary Biology. 19(1). 230–230. 11 indexed citations

Heinrich, L., Johannes Müller, Aurélien Tellier, & Daniel Živković. (2018). Effects of population- and seed bank size fluctuations on neutral evolution and efficacy of natural selection. Theoretical Population Biology. 123. 45–69. 9 indexed citations

Wollstein, Andreas, et al.. (2017). A genome-wide scan for genes under balancing selection in Drosophila melanogaster. BMC Evolutionary Biology. 17(1). 15–15. 28 indexed citations

Živković, Daniel, et al.. (2016). Balancing selection on immunity genes: review of the current literature and new analysis in Drosophila melanogaster. Zoology. 119(4). 322–329. 22 indexed citations

Vidalis, Amaryllis, Daniel Živković, René Wardenaar, et al.. (2016). Methylome evolution in plants. Genome biology. 17(1). 264–264. 88 indexed citations

Müller, Johannes, et al.. (2016). Fisher–Wright model with deterministic seed bank and selection. Theoretical Population Biology. 114. 29–39. 16 indexed citations

Živković, Daniel, Matthias Steinrücken, Yun S. Song, & Wolfgang Stephan. (2015). Transition Densities and Sample Frequency Spectra of Diffusion Processes with Selection and Variable Population Size. Genetics. 200(2). 601–617. 24 indexed citations

Pavlidis, Pavlos, Daniel Živković, Alexandros Stamatakis, & Nikolaos Alachiotis. (2013). SweeD: Likelihood-Based Detection of Selective Sweeps in Thousands of Genomes. Molecular Biology and Evolution. 30(9). 2224–2234. 302 indexed citations

Živković, Daniel & Aurélien Tellier. (2012). Germ banks affect the inference of past demographic events. Molecular Ecology. 21(22). 5434–5446. 17 indexed citations

10.

Duchen, Pablo, Daniel Živković, Stephan Hütter, Wolfgang Stephan, & Stefan Laurent. (2012). Demographic Inference Reveals African and European Admixture in the North AmericanDrosophila melanogasterPopulation. Genetics. 193(1). 291–301. 96 indexed citations

11.

Živković, Daniel & Wolfgang Stephan. (2011). Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory. Theoretical Population Biology. 79(4). 184–191. 26 indexed citations

12.

Živković, Daniel & Thomas Wiehe. (2008). Second-Order Moments of Segregating Sites Under Variable Population Size. Genetics. 180(1). 341–357. 29 indexed citations

13.

Wiehe, Thomas, Viola Nolte, Daniel Živković, & Christian Schlötterer. (2006). Identification of Selective Sweeps Using a Dynamically Adjusted Number of Linked Microsatellites. Genetics. 175(1). 207–218. 32 indexed citations

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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