Francis Chmiel

28 total papers · 1.8k total citations
14 papers, 1.5k citations indexed

About

Francis Chmiel is a scholar working on Epidemiology, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Francis Chmiel has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Electronic, Optical and Magnetic Materials and 4 papers in Materials Chemistry. Recurrent topics in Francis Chmiel's work include Multiferroics and related materials (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Ferroelectric and Piezoelectric Materials (3 papers). Francis Chmiel is often cited by papers focused on Multiferroics and related materials (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Ferroelectric and Piezoelectric Materials (3 papers). Francis Chmiel collaborates with scholars based in United Kingdom and United States. Francis Chmiel's co-authors include Nobuya Sakai, Qianqian Lin, Henry J. Snaith, Laura M. Herz, Zhiping Wang, Roger D. Johnson, P. G. Radaelli, Michael Boniface, Daniel Burns and Chang‐Beom Eom and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Nature Energy.

In The Last Decade

Francis Chmiel

13 papers receiving 1.5k citations

Hit Papers

Efficient ambient-air-sta... 2017 2026 2020 2023 2017 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Francis Chmiel 1.3k 907 577 109 107 14 1.5k
Kang‐Ting Ho 1.5k 1.2× 936 1.0× 335 0.6× 183 1.7× 115 1.1× 12 1.6k
Wiley A. Dunlap-Shohl 1.3k 1.0× 1.0k 1.1× 338 0.6× 86 0.8× 87 0.8× 25 1.4k
Mark Lockrey 1.4k 1.1× 1.0k 1.1× 507 0.9× 156 1.4× 215 2.0× 32 1.7k
Akriti Akriti 1.1k 0.9× 980 1.1× 268 0.5× 131 1.2× 84 0.8× 17 1.2k
Wee Kiang Chong 1.5k 1.2× 1.3k 1.4× 170 0.3× 194 1.8× 279 2.6× 18 1.7k
Taylor Moot 1.5k 1.2× 1.1k 1.2× 477 0.8× 88 0.8× 85 0.8× 20 1.7k
Camille Stavrakas 1.5k 1.2× 1.2k 1.4× 496 0.9× 62 0.6× 218 2.0× 8 1.7k
G. Timothy Noe 857 0.7× 643 0.7× 135 0.2× 153 1.4× 421 3.9× 28 1.1k
Lina E. Klintberg 1.5k 1.2× 1.2k 1.3× 258 0.4× 241 2.2× 352 3.3× 7 1.8k
Tiarnan A. S. Doherty 1.4k 1.1× 1.1k 1.2× 429 0.7× 92 0.8× 144 1.3× 22 1.6k

Countries citing papers authored by Francis Chmiel

Since Specialization
Citations

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

Fields of papers citing papers by Francis Chmiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Chmiel

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Chmiel. A scholar is included among the top collaborators of Francis Chmiel 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 Francis Chmiel. Francis Chmiel 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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