Francis Chmiel

1.8k total citations · 1 hit paper
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), Ferroelectric and Piezoelectric Materials (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Francis Chmiel is often cited by papers focused on Multiferroics and related materials (4 papers), Ferroelectric and Piezoelectric Materials (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Francis Chmiel collaborates with scholars based in United Kingdom and United States. Francis Chmiel's co-authors include Qianqian Lin, Nobuya Sakai, Laura M. Herz, Henry J. Snaith, Zhiping Wang, Roger D. Johnson, P. G. Radaelli, Daniel Burns, Michael Boniface 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient ambient-air-stable solar cells with 2D–3D heterostructured butylammonium-caesium-formamidinium lead halide perovskites

2017 1.2k citations Zhiping Wang, Qianqian Lin et al. Nature Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis Chmiel United Kingdom	10	1.3k	908	578	109	107	14	1.5k
Nouredine Sengouga Algeria	18	1.0k 0.8×	687 0.8×	288 0.5×	267 2.4×	223 2.1×	103	1.3k
Ed Wong United States	8	435 0.3×	544 0.6×	87 0.2×	39 0.4×	179 1.7×	12	760
Gabriele De Luca Switzerland	12	1.5k 1.2×	1.5k 1.6×	67 0.1×	352 3.2×	515 4.8×	25	1.9k
L. Dehimi Algeria	21	909 0.7×	379 0.4×	83 0.1×	98 0.9×	385 3.6×	83	1.1k
B.W. Ricketts Australia	14	538 0.4×	419 0.5×	88 0.2×	369 3.4×	134 1.3×	27	895
Yudong Cheng China	20	684 0.5×	1.1k 1.3×	52 0.1×	145 1.3×	69 0.6×	27	1.2k
Somnath Pal India	13	247 0.2×	297 0.3×	43 0.1×	201 1.8×	75 0.7×	18	523
M. S. Desai India	15	462 0.4×	459 0.5×	196 0.3×	151 1.4×	145 1.4×	31	691
Yonder Berencén Germany	19	806 0.6×	763 0.8×	15 0.0×	161 1.5×	261 2.4×	80	1.1k
J. D. Lee Japan	7	534 0.4×	1.1k 1.2×	19 0.0×	117 1.1×	126 1.2×	14	1.3k

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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14 of 14 papers shown

Chen, Jiahao, Francis Chmiel, Jieyi Liu, et al.. (2024). Switching of ferrotoroidal domains via an intermediate mixed state in the multiferroic Y-type hexaferrite Ba0.5Sr1.5Mg2Fe12O22. Physical review. B.. 110(13).

Inada-Kim, Matthew, Francis Chmiel, Michael Boniface, et al.. (2024). Validation of oxygen saturations measured in the community by emergency medical services as a marker of clinical deterioration in patients with confirmed COVID-19: a retrospective cohort study. BMJ Open. 14(1). e067378–e067378. 5 indexed citations

Chmiel, Francis, et al.. (2022). Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach. JMIR Medical Informatics. 10(3). e26499–e26499. 18 indexed citations

Duckworth, Christopher, Francis Chmiel, Daniel Burns, et al.. (2021). Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19. Scientific Reports. 11(1). 23017–23017. 59 indexed citations

Chmiel, Francis, Daniel Burns, Florina Borca, et al.. (2021). Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments. Scientific Reports. 11(1). 21513–21513. 15 indexed citations

Robertson, I, Francis Chmiel, & Ying Cheong. (2021). Streamlining Follicular Monitoring During Controlled Ovarian Stimulation: A Data-Driven Approach to Efficient IVF Care in the New Era of Social Distancing. Obstetrical & Gynecological Survey. 76(4). 207–208. 2 indexed citations

Inada-Kim, Matthew, Francis Chmiel, Michael Boniface, et al.. (2020). Validation of home oxygen saturations as a marker of clinical deterioration in patients with suspected COVID-19. ePrints Soton (University of Southampton). 1 indexed citations

Robertson, I, Francis Chmiel, & Ying Cheong. (2020). Streamlining follicular monitoring during controlled ovarian stimulation: a data-driven approach to efficient IVF care in the new era of social distancing. Human Reproduction. 36(1). 99–106. 14 indexed citations

Chmiel, Francis, D. Prabhakaran, P. Steadman, et al.. (2019). Magnetoelectric domains and their switching mechanism in a Y-type hexaferrite. Physical review. B.. 100(10). 10 indexed citations

10.

Chmiel, Francis, Roger D. Johnson, G. van der Laan, et al.. (2018). Observation of magnetic vortex pairs at room temperature in a planar\n α-Fe2O3/Co heterostructure. Oxford University Research Archive (ORA) (University of Oxford). 89 indexed citations

11.

Wang, Zhiping, Qianqian Lin, Francis Chmiel, et al.. (2017). Self-assembled 2D-3D heterostructured butylammonium-caesium-formamidinium lead halide perovskites for stable and efficient solar cells. 10 indexed citations

12.

Wang, Zhiping, Qianqian Lin, Francis Chmiel, et al.. (2017). Efficient ambient-air-stable solar cells with 2D–3D heterostructured butylammonium-caesium-formamidinium lead halide perovskites. Nature Energy. 2(9). 1246 indexed citations breakdown →

13.

Johnson, Roger D., Wittawat Saenrang, A. Bombardi, et al.. (2017). Electrical Switching of Magnetic Polarity in a Multiferroic BiFeO3 Device at Room Temperature. Physical Review Applied. 8(1). 10 indexed citations

14.

Johnson, Roger D., Wittawat Saenrang, Francesco Maccherozzi, et al.. (2016). Coherent Magnetoelastic Domains in Multiferroic BiFeO3 Films. Physical Review Letters. 117(17). 177601–177601. 24 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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