Jennifer Leisch

37 total papers · 672 total citations
14 papers, 494 citations indexed

About

Jennifer Leisch is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jennifer Leisch has authored 14 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jennifer Leisch's work include Chalcogenide Semiconductor Thin Films (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Quantum Dots Synthesis And Properties (4 papers). Jennifer Leisch is often cited by papers focused on Chalcogenide Semiconductor Thin Films (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Quantum Dots Synthesis And Properties (4 papers). Jennifer Leisch collaborates with scholars based in United States and Germany. Jennifer Leisch's co-authors include Peter Strasser, Michael F. Toney, Shirlaine Koh, Ruizhi Yang, Chengfei Yu, David S. Ginley, Thomas Gennett, John D. Perkins, Maikel F. A. M. van Hest and Ryan O’Hayre and has published in prestigious journals such as Chemistry of Materials, ACS Catalysis and The Journal of Physical Chemistry C.

In The Last Decade

Jennifer Leisch

14 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Jennifer Leisch	393	320	239	76	64	14	494
Shijing Zhao	332 0.8×	317 1.0×	164 0.7×	72 0.9×	53 0.8×	17	470
Zhiying Guo	291 0.7×	228 0.7×	171 0.7×	91 1.2×	37 0.6×	17	408
Lingxuan Chen	369 0.9×	304 0.9×	147 0.6×	49 0.6×	50 0.8×	19	445
Alexander J. Tkalych	388 1.0×	294 0.9×	240 1.0×	120 1.6×	46 0.7×	9	520
Baoqiang Wu	416 1.1×	374 1.2×	181 0.8×	70 0.9×	45 0.7×	18	549
Da Sol Jeong	254 0.6×	283 0.9×	241 1.0×	35 0.5×	46 0.7×	13	506
Kouhei Wada	335 0.9×	283 0.9×	200 0.8×	52 0.7×	92 1.4×	20	522
Changchang Xing	286 0.7×	260 0.8×	143 0.6×	48 0.6×	150 2.3×	12	481
Hang An	361 0.9×	283 0.9×	171 0.7×	115 1.5×	32 0.5×	13	482
Ruida Chen	358 0.9×	318 1.0×	151 0.6×	32 0.4×	61 1.0×	15	508

Countries citing papers authored by Jennifer Leisch

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Leisch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Leisch

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

All Works

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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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