Anna M. Hiszpanski

65 total papers · 1.7k total citations
35 papers, 1.3k citations indexed

About

Anna M. Hiszpanski is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Anna M. Hiszpanski has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Anna M. Hiszpanski's work include Organic Electronics and Photovoltaics (10 papers), Machine Learning in Materials Science (10 papers) and Computational Drug Discovery Methods (7 papers). Anna M. Hiszpanski is often cited by papers focused on Organic Electronics and Photovoltaics (10 papers), Machine Learning in Materials Science (10 papers) and Computational Drug Discovery Methods (7 papers). Anna M. Hiszpanski collaborates with scholars based in United States, South Korea and Australia. Anna M. Hiszpanski's co-authors include Yueh‐Lin Loo, T. Yong-Jin Han, Bhavya Kailkhura, Colin Nuckolls, Brian Gallagher, Shusen Liu, Xiaoting Zhong, Jacqueline M. Cole, Gerbrand Ceder and Olga Kononova and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and ACS Nano.

In The Last Decade

Anna M. Hiszpanski

34 papers receiving 1.3k citations

Hit Papers

Explainable machine learn... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anna M. Hiszpanski 722 528 210 145 143 35 1.3k
Johannes Hachmann 936 1.3× 542 1.0× 197 0.9× 99 0.7× 94 0.7× 25 1.7k
Brandon M. Wood 910 1.3× 462 0.9× 126 0.6× 45 0.3× 80 0.6× 22 1.7k
Yu Xie 839 1.2× 823 1.6× 179 0.9× 189 1.3× 45 0.3× 51 1.8k
Nicola Molinari 973 1.3× 642 1.2× 147 0.7× 43 0.3× 33 0.2× 23 1.7k
Tomomi Shimazaki 704 1.0× 388 0.7× 62 0.3× 102 0.7× 65 0.5× 63 1.3k
Sunghwan Choi 476 0.7× 302 0.6× 241 1.1× 144 1.0× 135 0.9× 33 1.6k
Krishna Deb 640 0.9× 469 0.9× 447 2.1× 207 1.4× 152 1.1× 62 1.5k
Wenfeng Jiang 530 0.7× 325 0.6× 208 1.0× 153 1.1× 358 2.5× 56 1.5k
Gabriel R. Schleder 938 1.3× 346 0.7× 133 0.6× 72 0.5× 38 0.3× 45 1.6k
Zhonglin Cao 784 1.1× 243 0.5× 111 0.5× 72 0.5× 86 0.6× 32 1.7k

Countries citing papers authored by Anna M. Hiszpanski

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Hiszpanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Hiszpanski. 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 Anna M. Hiszpanski. The network helps show where Anna M. Hiszpanski may publish in the future.

Co-authorship network of co-authors of Anna M. Hiszpanski

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

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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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