Daniel J. McClelland

20 total papers · 832 total citations
18 papers, 704 citations indexed

About

Daniel J. McClelland is a scholar working on Biomedical Engineering, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Daniel J. McClelland has authored 18 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 6 papers in Molecular Biology and 5 papers in Mechanical Engineering. Recurrent topics in Daniel J. McClelland's work include Catalysis for Biomass Conversion (13 papers), Biofuel production and bioconversion (5 papers) and Catalysis and Hydrodesulfurization Studies (5 papers). Daniel J. McClelland is often cited by papers focused on Catalysis for Biomass Conversion (13 papers), Biofuel production and bioconversion (5 papers) and Catalysis and Hydrodesulfurization Studies (5 papers). Daniel J. McClelland collaborates with scholars based in United States, Germany and China. Daniel J. McClelland's co-authors include George W. Huber, James A. Dumesic, Siddarth H. Krishna, Ashley M. Wittrig, Thomas J. Schwartz, Fei Cao, J. Scott Buchanan, Kevin J. Barnett, John Ralph and Ali Hussain Motagamwala and has published in prestigious journals such as Energy & Environmental Science, Applied Catalysis B: Environmental and Green Chemistry.

In The Last Decade

Daniel J. McClelland

18 papers receiving 698 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. McClelland 581 217 92 91 77 18 704
Mats Käldström 539 0.9× 114 0.5× 110 1.2× 81 0.9× 127 1.6× 18 663
Ravindra Prajapati 346 0.6× 287 1.3× 98 1.1× 61 0.7× 57 0.7× 24 686
Jeong Kwon Kim 483 0.8× 281 1.3× 153 1.7× 74 0.8× 34 0.4× 24 649
Peddy V.C. Rao 281 0.5× 247 1.1× 155 1.7× 101 1.1× 78 1.0× 22 678
Shantanu Kelkar 606 1.0× 200 0.9× 57 0.6× 27 0.3× 49 0.6× 14 845
Karla Dussan 741 1.3× 113 0.5× 69 0.8× 86 0.9× 96 1.2× 27 867
Aron Deneyer 581 1.0× 182 0.8× 96 1.0× 39 0.4× 52 0.7× 11 718
M.R. Sturgeon 683 1.2× 170 0.8× 67 0.7× 103 1.1× 32 0.4× 15 832
Yan Zhao 630 1.1× 289 1.3× 180 2.0× 90 1.0× 60 0.8× 24 838
Sikander H. Hakim 549 0.9× 226 1.0× 238 2.6× 87 1.0× 80 1.0× 13 806

Countries citing papers authored by Daniel J. McClelland

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McClelland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. McClelland

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