Zach Jensen

891 total citations
9 papers, 630 citations indexed

About

Zach Jensen is a scholar working on Materials Chemistry, Inorganic Chemistry and Artificial Intelligence. According to data from OpenAlex, Zach Jensen has authored 9 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 4 papers in Inorganic Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Zach Jensen's work include Machine Learning in Materials Science (7 papers), Zeolite Catalysis and Synthesis (4 papers) and X-ray Diffraction in Crystallography (3 papers). Zach Jensen is often cited by papers focused on Machine Learning in Materials Science (7 papers), Zeolite Catalysis and Synthesis (4 papers) and X-ray Diffraction in Crystallography (3 papers). Zach Jensen collaborates with scholars based in United States, Spain and Sweden. Zach Jensen's co-authors include Elsa Olivetti, Manuel Moliner, Yuriy Román‐Leshkov, Soonhyoung Kwon, Avelino Corma, Edward Kim, Terry Z. H. Gani, Rafael Gómez‐Bombarelli, Kevin Huang and Daniel Schwalbe‐Koda and has published in prestigious journals such as Science, Chemistry of Materials and Journal of the American Ceramic Society.

In The Last Decade

Zach Jensen

9 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zach Jensen United States 8 481 227 102 87 85 9 630
Baekjun Kim South Korea 7 511 1.1× 381 1.7× 50 0.5× 56 0.6× 72 0.8× 7 680
Xia Xiao China 15 475 1.0× 266 1.2× 376 3.7× 76 0.9× 135 1.6× 54 811
Sangwon Lee South Korea 11 595 1.2× 457 2.0× 49 0.5× 117 1.3× 73 0.9× 18 853
Hyunsoo Park South Korea 13 392 0.8× 244 1.1× 30 0.3× 174 2.0× 48 0.6× 26 604
Shuangquan Hu Singapore 12 274 0.6× 68 0.3× 80 0.8× 74 0.9× 37 0.4× 16 480
Sai Govind Hari Kumar Canada 8 401 0.8× 139 0.6× 75 0.7× 362 4.2× 54 0.6× 9 860
Zichao Rong United States 11 361 0.8× 285 1.3× 18 0.2× 111 1.3× 25 0.3× 16 640
Hermann Tribukait Switzerland 5 461 1.0× 35 0.2× 48 0.5× 223 2.6× 90 1.1× 6 715

Countries citing papers authored by Zach Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Zach Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zach Jensen

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

All Works

9 of 9 papers shown
1.
Kwon, Soonhyoung, Zach Jensen, Rafael Gómez‐Bombarelli, et al.. (2024). ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-Learning Rationalization of Hydrothermal Parameters. ACS Central Science. 10(3). 729–743. 24 indexed citations
2.
Karpovich, Christopher, et al.. (2023). Interpretable Machine Learning Enabled Inorganic Reaction Classification and Synthesis Condition Prediction. Chemistry of Materials. 35(3). 1062–1079. 28 indexed citations
3.
Schwalbe‐Koda, Daniel, Soonhyoung Kwon, Cecilia Paris, et al.. (2021). A priori control of zeolite phase competition and intergrowth with high-throughput simulations. Science. 374(6565). 308–315. 126 indexed citations
4.
Jensen, Zach, Soonhyoung Kwon, Daniel Schwalbe‐Koda, et al.. (2021). Discovering Relationships between OSDAs and Zeolites through Data Mining and Generative Neural Networks. ACS Central Science. 7(5). 858–867. 68 indexed citations
5.
O’Gorman, Tim, Zach Jensen, Sheshera Mysore, et al.. (2021). MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1337–1352. 9 indexed citations
6.
Jensen, Zach, et al.. (2020). Literature mining for alternative cementitious precursors and dissolution rate modeling of glassy phases. Journal of the American Ceramic Society. 104(7). 3042–3057. 7 indexed citations
7.
Mahbub, Rubayyat, Kevin Huang, Zach Jensen, et al.. (2020). Text mining for processing conditions of solid-state battery electrolytes. Electrochemistry Communications. 121. 106860–106860. 58 indexed citations
8.
Kim, Edward, Zach Jensen, Kevin Huang, et al.. (2020). Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. Journal of Chemical Information and Modeling. 60(3). 1194–1201. 104 indexed citations
9.
Jensen, Zach, Edward Kim, Soonhyoung Kwon, et al.. (2019). A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction. ACS Central Science. 5(5). 892–899. 206 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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2026