Wondimu Teka

683 total citations
12 papers, 433 citations indexed

About

Wondimu Teka is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Wondimu Teka has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 9 papers in Cognitive Neuroscience and 3 papers in Computer Networks and Communications. Recurrent topics in Wondimu Teka's work include stochastic dynamics and bifurcation (9 papers), Neural dynamics and brain function (8 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Wondimu Teka is often cited by papers focused on stochastic dynamics and bifurcation (9 papers), Neural dynamics and brain function (8 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Wondimu Teka collaborates with scholars based in United States, India and Australia. Wondimu Teka's co-authors include Fidel Santamarı́a, Argha Mondal, Ranjit Kumar Upadhyay, Richard Bertram, Joël Tabak, Martin Wechselberger, Krasimira Tsaneva‐Atanasova, Theodore Vo, William H. Barnett and Yaroslav I. Molkov and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Neural Networks.

In The Last Decade

Wondimu Teka

12 papers receiving 426 citations

Peers

Wondimu Teka

SNP

CN

CNC

EEE

MS

Shenquan Liu China

Kunichika Tsumoto Japan

Fang Han China

Zhuoqin Yang China

Diogo C. Soriano Brazil

Xiaoming Liang China

Peter F. Rowat United States

Ewandson L. Lameu Brazil

Áine Byrne United Kingdom

Stefanos E. Folias United States

Shenquan Liu China

Wondimu Teka

380 ×1.4

SNP

324 ×1.6

CN

266 ×1.6

CNC

67 ×1.1

EEE

18 ×0.3

MS

Citations per year, relative to Wondimu Teka Wondimu Teka (= 1×) peers Shenquan Liu

Countries citing papers authored by Wondimu Teka

Since Specialization

Citations

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

Fields of papers citing papers by Wondimu Teka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wondimu Teka

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

All Works

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12 of 12 papers shown

1.

Teka, Wondimu, William H. Barnett, Taegyo Kim, et al.. (2017). From the motor cortex to the movement and back again. PLoS ONE. 12(6). e0179288–e0179288. 32 indexed citations

2.

Teka, Wondimu, Ranjit Kumar Upadhyay, & Argha Mondal. (2017). Fractional-order leaky integrate-and-fire model with long-term memory and power law dynamics. Neural Networks. 93. 110–125. 40 indexed citations

3.

Teka, Wondimu, Ranjit Kumar Upadhyay, & Argha Mondal. (2017). Spiking and bursting patterns of fractional-order Izhikevich model. Communications in Nonlinear Science and Numerical Simulation. 56. 161–176. 52 indexed citations

4.

Upadhyay, Ranjit Kumar, Argha Mondal, & Wondimu Teka. (2017). Mixed Mode Oscillations and Synchronous Activity in Noise Induced Modified Morris–Lecar Neural System. International Journal of Bifurcation and Chaos. 27(5). 1730019–1730019. 28 indexed citations

5.

Teka, Wondimu, et al.. (2016). Power-Law Dynamics of Membrane Conductances Increase Spiking Diversity in a Hodgkin-Huxley Model. PLoS Computational Biology. 12(3). e1004776–e1004776. 38 indexed citations

6.

Upadhyay, Ranjit Kumar, Argha Mondal, & Wondimu Teka. (2016). Fractional-order excitable neural system with bidirectional coupling. Nonlinear Dynamics. 87(4). 2219–2233. 10 indexed citations

7.

Bertram, Richard, Joël Tabak, Wondimu Teka, et al.. (2015). Mathematical Analysis of Complex Cellular Activity. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations

8.

Teka, Wondimu, et al.. (2014). Neuronal Spike Timing Adaptation Described with a Fractional Leaky Integrate-and-Fire Model. PLoS Computational Biology. 10(3). e1003526–e1003526. 93 indexed citations

9.

Teka, Wondimu, Joël Tabak, & Richard Bertram. (2012). The relationship between two fast/slow analysis techniques for bursting oscillations. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(4). 43117–43117. 45 indexed citations

10.

Teka, Wondimu, Joël Tabak, Theodore Vo, Martin Wechselberger, & Richard Bertram. (2011). The dynamics underlying pseudo-plateau bursting in a pituitary cell model. PubMed. 1(1). 39 indexed citations

11.

Teka, Wondimu, Krasimira Tsaneva‐Atanasova, Richard Bertram, & Joël Tabak. (2010). From Plateau to Pseudo-Plateau Bursting: Making the Transition. Bulletin of Mathematical Biology. 73(6). 1292–1311. 35 indexed citations

12.

Teka, Wondimu, et al.. (1996). Vitamin A deficiency: a serious threat in Dodota district in central Ethiopia.. PubMed. 73(5). 303–7. 13 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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