Dan Guevarra

2.3k total citations · 1 hit paper
51 papers, 1.8k citations indexed

About

Dan Guevarra is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Guevarra has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 31 papers in Renewable Energy, Sustainability and the Environment and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Guevarra's work include Machine Learning in Materials Science (21 papers), Advanced Photocatalysis Techniques (20 papers) and Electrocatalysts for Energy Conversion (14 papers). Dan Guevarra is often cited by papers focused on Machine Learning in Materials Science (21 papers), Advanced Photocatalysis Techniques (20 papers) and Electrocatalysts for Energy Conversion (14 papers). Dan Guevarra collaborates with scholars based in United States, United Kingdom and Switzerland. Dan Guevarra's co-authors include John M. Gregoire, Joel A. Haber, Helge S. Stein, Aniketa Shinde, Paul F. Newhouse, Santosh K. Suram, Lan Zhou, Jeffrey B. Neaton, Jian Jin and Carla P. Gomes and has published in prestigious journals such as Nature Communications, Energy & Environmental Science and Chemistry of Materials.

In The Last Decade

Dan Guevarra

51 papers receiving 1.7k citations

Hit Papers

Analysis of the limitations in the oxygen reduction activ... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Guevarra United States 24 1.2k 960 627 154 153 51 1.8k
Santosh K. Suram United States 22 1.4k 1.2× 693 0.7× 566 0.9× 106 0.7× 126 0.8× 53 1.9k
Helge S. Stein Germany 22 1.0k 0.9× 455 0.5× 750 1.2× 136 0.9× 94 0.6× 63 1.8k
Kirsten T. Winther United States 17 1.1k 0.9× 673 0.7× 423 0.7× 72 0.5× 282 1.8× 26 1.5k
Katherine C. Elbert United States 10 1.2k 1.0× 303 0.3× 609 1.0× 59 0.4× 86 0.6× 16 1.9k
Catherine M. Aitchison United Kingdom 18 1.4k 1.2× 1.0k 1.1× 568 0.9× 21 0.1× 73 0.5× 27 2.2k
Ben M. Alston United Kingdom 15 1.1k 0.9× 256 0.3× 300 0.5× 27 0.2× 81 0.5× 15 1.9k
Arghya Bhowmik Denmark 23 1.0k 0.9× 338 0.4× 1.0k 1.7× 26 0.2× 243 1.6× 73 2.0k
Paul F. Newhouse United States 16 876 0.7× 430 0.4× 389 0.6× 25 0.2× 43 0.3× 28 1.1k
Juhwan Noh South Korea 16 1.3k 1.1× 438 0.5× 388 0.6× 30 0.2× 324 2.1× 29 1.7k

Countries citing papers authored by Dan Guevarra

Since Specialization
Citations

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

Fields of papers citing papers by Dan Guevarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Guevarra

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Guevarra. A scholar is included among the top collaborators of Dan Guevarra 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 Dan Guevarra. Dan Guevarra 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.
Jones, Ryan J. R., et al.. (2024). Accelerated screening of gas diffusion electrodes for carbon dioxide reduction. Digital Discovery. 3(6). 1144–1149. 4 indexed citations
2.
Guevarra, Dan, Ryan J. R. Jones, Yungchieh Lai, et al.. (2024). Automated monitoring of electrocatalyst corrosion as a function of electrochemical history and electrolyte formulation. Chemical Communications. 60(71). 9554–9557. 1 indexed citations
3.
Guevarra, Dan, Yungchieh Lai, Ryan J. R. Jones, et al.. (2023). Orchestrating nimble experiments across interconnected labs. Digital Discovery. 2(6). 1806–1812. 18 indexed citations
4.
Guevarra, Dan, Lan Zhou, Ryan J. R. Jones, et al.. (2023). Accelerated Characterization of Electrode‐Electrolyte Equilibration. ChemCatChem. 16(6). 6 indexed citations
5.
Statt, Michael J., et al.. (2023). The materials experiment knowledge graph. Digital Discovery. 2(4). 909–914. 11 indexed citations
6.
Statt, Michael J., Brian A. Rohr, Dan Guevarra, Santosh K. Suram, & John M. Gregoire. (2023). Event-driven data management with cloud computing for extensible materials acceleration platforms. Digital Discovery. 3(2). 238–242. 3 indexed citations
7.
Statt, Michael J., Brian A. Rohr, Dan Guevarra, et al.. (2023). The Materials Provenance Store. Scientific Data. 10(1). 184–184. 5 indexed citations
8.
Statt, Michael J., Brian A. Rohr, Dan Guevarra, et al.. (2023). ESAMP: event-sourced architecture for materials provenance management and application to accelerated materials discovery. Digital Discovery. 2(4). 1078–1088. 3 indexed citations
9.
Zhou, Lan, Dan Guevarra, & John M. Gregoire. (2022). High throughput discovery of enhanced visible photoactivity in Fe–Cr vanadate solar fuels photoanodes. Journal of Physics Energy. 4(4). 44001–44001. 6 indexed citations
10.
11.
Kong, Shufeng, Francesco Ricci, Dan Guevarra, et al.. (2022). Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings. Nature Communications. 13(1). 949–949. 61 indexed citations
12.
Amsler, Maximilian, Ming-Chiang Chang, Dan Guevarra, et al.. (2021). Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams. Science Advances. 7(51). eabg4930–eabg4930. 54 indexed citations
13.
Rohr, Brian A., Helge S. Stein, Dan Guevarra, et al.. (2020). Benchmarking the acceleration of materials discovery by sequential learning. Chemical Science. 11(10). 2696–2706. 103 indexed citations
14.
Zhou, Lan, Aniketa Shinde, Dan Guevarra, et al.. (2020). Combinatorial screening yields discovery of 29 metal oxide photoanodes for solar fuel generation. Journal of Materials Chemistry A. 8(8). 4239–4243. 13 indexed citations
15.
Zhou, Lan, Aniketa Shinde, Dan Guevarra, et al.. (2020). Successes and Opportunities for Discovery of Metal Oxide Photoanodes for Solar Fuels Generators. ACS Energy Letters. 5(5). 1413–1421. 32 indexed citations
16.
Stein, Helge S., et al.. (2019). Synthesis, optical imaging, and absorption spectroscopy data for 179072 metal oxides. Scientific Data. 6(1). 9–9. 14 indexed citations
17.
Newhouse, Paul F., Dan Guevarra, Mitsutaro Umehara, et al.. (2018). Multi-modal optimization of bismuth vanadate photoanodes via combinatorial alloying and hydrogen processing. Chemical Communications. 55(4). 489–492. 14 indexed citations
18.
Newhouse, Paul F., Dan Guevarra, Mitsutaro Umehara, et al.. (2018). Combinatorial alloying improves bismuth vanadate photoanodes via reduced monoclinic distortion. Energy & Environmental Science. 11(9). 2444–2457. 21 indexed citations
19.
Francis, Sonja A., Jesús M. Velázquez, Ivonne M. Ferrer, et al.. (2018). Reduction of Aqueous CO2 to 1-Propanol at MoS2 Electrodes. Chemistry of Materials. 30(15). 4902–4908. 86 indexed citations
20.
Guevarra, Dan, Aniketa Shinde, Santosh K. Suram, et al.. (2015). Development of solar fuels photoanodes through combinatorial integration of Ni–La–Co–Ce oxide catalysts on BiVO4. Energy & Environmental Science. 9(2). 565–580. 61 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026