Olga Wodo

1.1k total citations
48 papers, 862 citations indexed

About

Olga Wodo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Olga Wodo has authored 48 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Olga Wodo's work include Machine Learning in Materials Science (16 papers), Organic Electronics and Photovoltaics (15 papers) and Thin-Film Transistor Technologies (7 papers). Olga Wodo is often cited by papers focused on Machine Learning in Materials Science (16 papers), Organic Electronics and Photovoltaics (15 papers) and Thin-Film Transistor Technologies (7 papers). Olga Wodo collaborates with scholars based in United States, Saudi Arabia and Germany. Olga Wodo's co-authors include Baskar Ganapathysubramanian, Srikanta Tirthapura, Sumit Chaudhary, Adam J. Moulé, Jarosław Żola, Scott Broderick, John D. Roehling, Krishna Rajan, Jacobus J. van Franeker and P. A. Bobbert and has published in prestigious journals such as Energy & Environmental Science, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Olga Wodo

47 papers receiving 836 citations

Peers

Olga Wodo

EEE

MC

PP

ME

AE

Junjie Wu China

Fuliang Wang China

Kyung‐Tae Kang South Korea

Zhenzhen Li China

Haibin Zhao China

Jin‐Young Kim South Korea

K. Jensen United States

Zheng Xu China

Harikumar Kandath India

Keith D. Humfeld United States

Junjie Wu China

Olga Wodo

194 ×0.5

EEE

269 ×0.7

MC

96 ×0.5

PP

64 ×0.4

ME

37 ×0.3

AE

Citations per year, relative to Olga Wodo Olga Wodo (= 1×) peers Junjie Wu

Countries citing papers authored by Olga Wodo

Since Specialization

Citations

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

Fields of papers citing papers by Olga Wodo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Wodo

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

All Works

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20 of 20 papers shown

1.

Liu, Hao, et al.. (2025). Taxonomy of amorphous ternary phase diagrams: the importance of interaction parameters. Physical Chemistry Chemical Physics. 27(19). 9998–10010.

2.

Wodo, Olga, et al.. (2024). Identifying representative sub-domains in 3D microstructures for accelerated structure–property mapping in organic photovoltaic. Computational Materials Science. 244. 113193–113193. 1 indexed citations

3.

Ganapathysubramanian, Baskar, et al.. (2024). Active learning for regression of structure–property mapping: the importance of sampling and representation. Digital Discovery. 3(10). 1997–2009. 4 indexed citations

4.

Chandola, Varun, et al.. (2024). Resource Efficient Bayesian Optimization. 12–19. 1 indexed citations

5.

McIntyre, Gavin, et al.. (2023). Gradient porous structures of mycelium: a quantitative structure–mechanical property analysis. Scientific Reports. 13(1). 19285–19285. 12 indexed citations

6.

Żola, Jarosław, et al.. (2022). GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics. SoftwareX. 17. 100969–100969. 3 indexed citations

7.

Ganapathysubramanian, Baskar, et al.. (2022). Construction and high throughput exploration of phase diagrams of multi-component organic blends. Computational Materials Science. 216. 111829–111829. 2 indexed citations

8.

Wheeler, Daniel, et al.. (2022). How important is microstructural feature selection for data-driven structure-property mapping?. MRS Communications. 12(1). 95–103. 9 indexed citations

9.

Wodo, Olga, et al.. (2022). Active Knowledge Extraction from Cyclic Voltammetry. Energies. 15(13). 4575–4575. 3 indexed citations

10.

Wodo, Olga, et al.. (2022). Skeletal-based microstructure representation and featurization through descriptors. Computational Materials Science. 214. 111668–111668. 2 indexed citations

11.

Wodo, Olga, et al.. (2021). Feature Engineering for Surrogate Models of Consolidation Degree in Additive Manufacturing. Materials. 14(9). 2239–2239. 5 indexed citations

12.

Żola, Jarosław, et al.. (2021). Graph-based Strategy for Establishing Morphology Similarity. 1 indexed citations

13.

Wodo, Olga, et al.. (2019). Metric Learning for High-Throughput Combinatorial Data Sets. ACS Combinatorial Science. 21(11). 726–735. 4 indexed citations

14.

Hadwiger, Markus, et al.. (2019). Extracting topology, shape and size from heterogenous microstructure. Computational Materials Science. 173. 109402–109402. 2 indexed citations

15.

Zhang, Binbin, et al.. (2019). Degradation Mechanism Detection in Photovoltaic Backsheets by Fully Convolutional Neural Network. Scientific Reports. 9(1). 16119–16119. 10 indexed citations

16.

Yavari, Reza, et al.. (2019). Prediction and Experimental Validation of Part Thermal History in the Fused Filament Fabrication Additive Manufacturing Process. Journal of Manufacturing Science and Engineering. 141(12). 30 indexed citations

17.

Jones, Matthew L., et al.. (2018). Using graphs to quantify energetic and structural order in semicrystalline oligothiophene thin films. Molecular Systems Design & Engineering. 3(5). 853–867. 12 indexed citations

18.

Wodo, Olga, Scott Broderick, & Krishna Rajan. (2016). Microstructural informatics for accelerating the discovery of processing–microstructure–property relationships. MRS Bulletin. 41(8). 603–609. 24 indexed citations

19.

Wodo, Olga, et al.. (2015). Polymer/solvent bicontinuous microemulsions for use as organic solar cell active layers. Bulletin of the American Physical Society. 1 indexed citations

20.

Wodo, Olga & Baskar Ganapathysubramanian. (2014). How do evaporating thin films evolve? Unravelling phase-separation mechanisms during solvent-based fabrication of polymer blends. Applied Physics Letters. 105(15). 36 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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