Deniz Eroglu

868 total citations
26 papers, 551 citations indexed

About

Deniz Eroglu is a scholar working on Computer Networks and Communications, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Deniz Eroglu has authored 26 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Deniz Eroglu's work include Nonlinear Dynamics and Pattern Formation (10 papers), Complex Systems and Time Series Analysis (8 papers) and Ecosystem dynamics and resilience (7 papers). Deniz Eroglu is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (10 papers), Complex Systems and Time Series Analysis (8 papers) and Ecosystem dynamics and resilience (7 papers). Deniz Eroglu collaborates with scholars based in Türkiye, United Kingdom and Germany. Deniz Eroglu's co-authors include Norbert Marwan, Tiago Pereira, Jeroen S. W. Lamb, Jürgen Kurths, Sebastian F. M. Breitenbach, Sushma Prasad, Thomas Stemler, J. Kurths, Jürgen Kurths and Martina Stebich and has published in prestigious journals such as Physical Review Letters, Nature Communications and Cancer Research.

In The Last Decade

Deniz Eroglu

24 papers receiving 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deniz Eroglu Türkiye 13 201 173 148 140 86 26 551
Thomas Stemler Australia 15 263 1.3× 129 0.7× 104 0.7× 207 1.5× 80 0.9× 50 630
Joshua Garland United States 13 87 0.4× 32 0.2× 128 0.9× 86 0.6× 69 0.8× 31 549
K. Hauke Kraemer Germany 8 88 0.4× 57 0.3× 42 0.3× 71 0.5× 27 0.3× 12 267
Shin’ichi Sato Japan 17 208 1.0× 112 0.6× 117 0.8× 107 0.8× 369 4.3× 58 969
Kateřina Hlaváčková‐Schindler Austria 6 134 0.7× 66 0.4× 25 0.2× 153 1.1× 56 0.7× 21 672
Nikola Jajcay Czechia 10 81 0.4× 44 0.3× 133 0.9× 87 0.6× 206 2.4× 20 486
Massimiliano Ignaccolo United States 13 162 0.8× 40 0.2× 155 1.0× 134 1.0× 236 2.7× 33 590
Mickaël D. Chekroun United States 18 376 1.9× 213 1.2× 345 2.3× 124 0.9× 576 6.7× 59 1.0k
Evgeny Loskutov Russia 14 67 0.3× 40 0.2× 135 0.9× 84 0.6× 141 1.6× 24 347
J. Kurths Germany 10 384 1.9× 207 1.2× 89 0.6× 223 1.6× 271 3.2× 19 962

Countries citing papers authored by Deniz Eroglu

Since Specialization
Citations

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

Fields of papers citing papers by Deniz Eroglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deniz Eroglu

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

All Works

20 of 20 papers shown
1.
Söğünmez, Nuray & Deniz Eroglu. (2025). Sparse deconvolution of cell type medleys in spatial transcriptomics. PLoS Computational Biology. 21(6). e1013169–e1013169.
2.
Eroglu, Deniz, et al.. (2024). Cycle-Star Motifs: Network Response to Link Modifications. Journal of Nonlinear Science. 34(4). 1 indexed citations
3.
Eroglu, Deniz, Bruce M. Boghosian, Ernesto P. Borges, & Uǧur Tırnaklı. (2024). The Statistics of q-Statistics. Entropy. 26(7). 554–554.
4.
Franović, Igor, et al.. (2024). Regime switching in coupled nonlinear systems: Sources, prediction, and control—Minireview and perspective on the Focus Issue. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(12). 4 indexed citations
5.
Eroglu, Deniz, et al.. (2023). Reconstructing Network Dynamics of Coupled Discrete Chaotic Units from Data. Physical Review Letters. 130(11). 117401–117401. 12 indexed citations
6.
Tsallis, Constantino, et al.. (2023). First-principle validation of Fourier’s law in d=1,2,3 classical systems. Physica D Nonlinear Phenomena. 446. 133681–133681. 3 indexed citations
7.
Rivest, François, Joanna Kowal, Benjamin Pelz, et al.. (2022). Abstract 1716: Mapping the cellular architecture of the tumor microenvironment by integrating hyperplex immunofluorescence and automated image analysis. Cancer Research. 82(12_Supplement). 1716–1716. 2 indexed citations
8.
Eroglu, Deniz, et al.. (2022). Emergent hypernetworks in weakly coupled oscillators. Nature Communications. 13(1). 4849–4849. 16 indexed citations
9.
Eroglu, Deniz, et al.. (2022). Transformation cost spectrum for irregularly sampled time series. The European Physical Journal Special Topics. 232(1). 35–46. 4 indexed citations
10.
Goswami, Bedartha, Yoshito Hirata, Deniz Eroglu, et al.. (2021). Recurrence analysis of extreme event-like data. Nonlinear processes in geophysics. 28(2). 213–229. 15 indexed citations
11.
Peron, Thomas, Deniz Eroglu, Francisco A. Rodrigues, & Yamir Moreno. (2020). Collective dynamics of random Janus oscillator networks. Physical Review Research. 2(1). 6 indexed citations
12.
Eroglu, Deniz, Norbert Marwan, Martina Stebich, & Jürgen Kurths. (2018). Multiplex recurrence networks. Physical review. E. 97(1). 12312–12312. 41 indexed citations
13.
Eroglu, Deniz, Sebastian F. M. Breitenbach, Norbert Marwan, et al.. (2018). Recurrence plot analysis of irregularly sampled data. Physical review. E. 98(5). 27 indexed citations
14.
Lechleitner, Franziska A., Sebastian F. M. Breitenbach, Hai Cheng, et al.. (2017). Climatic and in-cave influences on δ18O and δ13C in a stalagmite from northeastern India through the last deglaciation. Quaternary Research. 88(3). 458–471. 38 indexed citations
15.
Eroglu, Deniz, Thomas Stemler, Karl‐Heinz Wyrwoll, et al.. (2016). See–saw relationship of the Holocene East Asian–Australian summer monsoon. Nature Communications. 7(1). 12929–12929. 82 indexed citations
16.
Schultz, Paul, Thomas Peron, Deniz Eroglu, et al.. (2016). Tweaking synchronization by connectivity modifications. Physical review. E. 93(6). 9 indexed citations
17.
Eroglu, Deniz, et al.. (2015). Transformation-cost time-series method for analyzing irregularly sampled data. Physical Review E. 91(6). 62911–62911. 24 indexed citations
18.
Eroglu, Deniz, Norbert Marwan, Sushma Prasad, & J. Kurths. (2014). Finding recurrence networks' threshold adaptively for a specific time series. Nonlinear processes in geophysics. 21(6). 1085–1092. 61 indexed citations
19.
Eroglu, Deniz, Thomas Peron, Norbert Marwan, et al.. (2014). Entropy of weighted recurrence plots. Physical Review E. 90(4). 42919–42919. 40 indexed citations
20.
Pereira, Tiago, Deniz Eroglu, G. Baris Bagci, Uǧur Tırnaklı, & Henrik Jeldtoft Jensen. (2013). Connectivity-Driven Coherence in Complex Networks. Physical Review Letters. 110(23). 234103–234103. 25 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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