Daniel Burkitt

606 total citations
9 papers, 497 citations indexed

About

Daniel Burkitt is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Daniel Burkitt has authored 9 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 3 papers in Polymers and Plastics. Recurrent topics in Daniel Burkitt's work include Perovskite Materials and Applications (8 papers), Quantum Dots Synthesis And Properties (6 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Daniel Burkitt is often cited by papers focused on Perovskite Materials and Applications (8 papers), Quantum Dots Synthesis And Properties (6 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Daniel Burkitt collaborates with scholars based in United Kingdom and United States. Daniel Burkitt's co-authors include Trystan Watson, Katherine Hooper, David Richards, Rahul Patidar, Justin Searle, David Beynon, Peter Greenwood, James McGettrick, Adrian M. Nightingale and Martin Heeney and has published in prestigious journals such as Advanced Functional Materials, RSC Advances and Materials.

In The Last Decade

Daniel Burkitt

9 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Burkitt United Kingdom	9	455	279	177	50	14	9	497
Anish Priyadarshi Singapore	11	634 1.4×	373 1.3×	313 1.8×	28 0.6×	13 0.9×	16	681
Gianpaolo Susanna Italy	8	297 0.7×	76 0.3×	180 1.0×	68 1.4×	8 0.6×	15	349
Ji Hun Song South Korea	7	268 0.6×	230 0.8×	149 0.8×	28 0.6×	15 1.1×	10	357
Laurent Gilson Germany	5	306 0.7×	222 0.8×	165 0.9×	16 0.3×	21 1.5×	6	385
Baojin Fan China	17	793 1.7×	318 1.1×	503 2.8×	27 0.5×	6 0.4×	32	816
Arvid P.L. Böttiger Denmark	8	556 1.2×	142 0.5×	383 2.2×	106 2.1×	24 1.7×	8	604
Peter Greenwood United Kingdom	10	417 0.9×	216 0.8×	195 1.1×	80 1.6×	8 0.6×	13	464
Gerwin Kirchner Netherlands	7	325 0.7×	188 0.7×	142 0.8×	32 0.6×	2 0.1×	10	357
Jihun Jang South Korea	10	564 1.2×	296 1.1×	285 1.6×	44 0.9×	2 0.1×	16	593
Rahul Patidar United Kingdom	11	637 1.4×	396 1.4×	302 1.7×	26 0.5×	4 0.3×	17	701

Countries citing papers authored by Daniel Burkitt

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Burkitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Burkitt

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

All Works

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9 of 9 papers shown

Richards, David, Daniel Burkitt, Rahul Patidar, David Beynon, & Trystan Watson. (2022). Predicting a process window for the roll-to-roll deposition of solvent-engineered SnO₂ in perovskite solar cells. Materials Advances. 3(23). 8588–8596. 17 indexed citations

Burkitt, Daniel, Rahul Patidar, Peter Greenwood, et al.. (2020). Roll-to-roll slot-die coated P–I–N perovskite solar cells using acetonitrile based single step perovskite solvent system. Sustainable Energy & Fuels. 4(7). 3340–3351. 76 indexed citations

Burkitt, Daniel, Peter Greenwood, Katherine Hooper, et al.. (2019). Meniscus Guide Slot-Die Coating For Roll-to-Roll Perovskite Solar Cells. MRS Advances. 4(24). 1399–1407. 22 indexed citations

Patidar, Rahul, Daniel Burkitt, Katherine Hooper, David Richards, & Trystan Watson. (2019). Slot-die coating of perovskite solar cells: An overview. Materials Today Communications. 22. 100808–100808. 160 indexed citations

Burkitt, Daniel, Richard Swartwout, James McGettrick, et al.. (2019). Acetonitrile based single step slot-die compatible perovskite ink for flexible photovoltaics. RSC Advances. 9(64). 37415–37423. 40 indexed citations

Burkitt, Daniel, Justin Searle, David Worsley, & Trystan Watson. (2018). Sequential Slot-Die Deposition of Perovskite Solar Cells Using Dimethylsulfoxide Lead Iodide Ink. Materials. 11(11). 2106–2106. 22 indexed citations

Burkitt, Daniel, Justin Searle, & Trystan Watson. (2018). Perovskite solar cells in N-I-P structure with four slot-die-coated layers. Royal Society Open Science. 5(5). 172158–172158. 50 indexed citations

Baker, Jenny, et al.. (2016). From spin coating to roll‐to‐roll: investigating the challenge of upscaling lead halide perovskite solar cells. IET Renewable Power Generation. 11(5). 546–549. 27 indexed citations

Bannock, James H., Siva H. Krishnadasan, Adrian M. Nightingale, et al.. (2012). Continuous Synthesis of Device‐Grade Semiconducting Polymers in Droplet‐Based Microreactors. Advanced Functional Materials. 23(17). 2123–2129. 83 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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