David J. Couling

13 total papers · 735 total citations
9 papers, 627 citations indexed

About

David J. Couling is a scholar working on Mechanical Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, David J. Couling has authored 9 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanical Engineering, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Atmospheric Science. Recurrent topics in David J. Couling's work include nanoparticles nucleation surface interactions (3 papers), Mercury impact and mitigation studies (3 papers) and Carbon Dioxide Capture Technologies (3 papers). David J. Couling is often cited by papers focused on nanoparticles nucleation surface interactions (3 papers), Mercury impact and mitigation studies (3 papers) and Carbon Dioxide Capture Technologies (3 papers). David J. Couling collaborates with scholars based in United States and United Kingdom. David J. Couling's co-authors include Randall J. Bernot, Kathryn M. Docherty, JaNeille K. Dixon, Edward J. Maginn, William H. Green, Gerbrand Ceder, Anubhav Jain, Christopher C. Fischer, Ujjal Das and Nguyễn Hoàng Việt and has published in prestigious journals such as Green Chemistry, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

David J. Couling

9 papers receiving 620 citations

Author Peers

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

Author						Papers	Cites
David J. Couling	396	130	116	109	100	9	627
Peter Behrend	389 1.0×	148 1.1×	55 0.5×	82 0.8×	107 1.1×	14	700
Susana P.F. Costa	335 0.8×	122 0.9×	73 0.6×	99 0.9×	116 1.2×	16	584
Ouahid Ben Ghanem	341 0.9×	108 0.8×	100 0.9×	84 0.8×	177 1.8×	19	642
Konrad J. Kulacki	221 0.6×	78 0.6×	35 0.3×	49 0.4×	72 0.7×	10	769
Mateusz Marchel	278 0.7×	71 0.5×	118 1.0×	85 0.8×	120 1.2×	16	659
Daniel Kogelnig	400 1.0×	139 1.1×	376 3.2×	53 0.5×	98 1.0×	12	673
Marcin Nędzi	421 1.1×	170 1.3×	38 0.3×	80 0.7×	64 0.6×	7	654
Stéphanie Boudesocque	292 0.7×	121 0.9×	251 2.2×	75 0.7×	69 0.7×	28	614
Anita Sosnowska	276 0.7×	89 0.7×	43 0.4×	55 0.5×	76 0.8×	36	558
A.M. Polo	213 0.5×	73 0.6×	118 1.0×	27 0.2×	165 1.6×	22	605

Countries citing papers authored by David J. Couling

Since Specialization

Citations

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

Fields of papers citing papers by David J. Couling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Couling. 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 David J. Couling. The network helps show where David J. Couling may publish in the future.

Co-authorship network of co-authors of David J. Couling

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Couling. A scholar is included among the top collaborators of David J. Couling 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 David J. Couling. David J. Couling 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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