David D. McLean

2.2k total citations · 1 hit paper
24 papers, 1.7k citations indexed

About

David D. McLean is a scholar working on Biomedical Engineering, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, David D. McLean has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Control and Systems Engineering and 7 papers in Molecular Biology. Recurrent topics in David D. McLean's work include Fault Detection and Control Systems (6 papers), Biodiesel Production and Applications (5 papers) and Advanced Control Systems Optimization (5 papers). David D. McLean is often cited by papers focused on Fault Detection and Control Systems (6 papers), Biodiesel Production and Applications (5 papers) and Advanced Control Systems Optimization (5 papers). David D. McLean collaborates with scholars based in Canada and United States. David D. McLean's co-authors include Marc A. Dubé, M. Kates, Shiyan Zheng, Jules Thibault, Martin Guay, J. Downie, D. W. Bacon, Kevin J. Kennedy, Serge R. Guiot and Douglas J. Pritchard and has published in prestigious journals such as Technometrics, Bioresource Technology and Industrial & Engineering Chemistry Research.

In The Last Decade

David D. McLean

24 papers receiving 1.5k citations

Hit Papers

Biodiesel production from waste cooking oil: 2. Economic ... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David D. McLean Canada 13 1.4k 669 500 268 250 24 1.7k
A.F. Errazu Argentina 15 2.1k 1.5× 1.2k 1.7× 827 1.7× 298 1.1× 268 1.1× 19 2.5k
Chakrit Tongurai Thailand 18 946 0.7× 504 0.8× 375 0.8× 144 0.5× 103 0.4× 47 1.2k
Abdi Hanra Sebayang Indonesia 22 2.2k 1.6× 882 1.3× 611 1.2× 147 0.5× 566 2.3× 52 2.7k
S.L. Soni India 17 1.6k 1.1× 789 1.2× 282 0.6× 103 0.4× 762 3.0× 26 2.0k
Digambar Singh India 11 1.3k 0.9× 593 0.9× 270 0.5× 105 0.4× 451 1.8× 29 1.5k
Jassinnee Milano Malaysia 19 1.5k 1.1× 764 1.1× 310 0.6× 121 0.5× 425 1.7× 47 2.1k
Yuyan Guo China 15 1.0k 0.7× 594 0.9× 283 0.6× 369 1.4× 234 0.9× 32 1.5k
Majid Mohadesi Iran 22 1.1k 0.8× 742 1.1× 200 0.4× 94 0.4× 172 0.7× 52 1.4k
Makame Mbarawa South Africa 21 1.6k 1.1× 721 1.1× 251 0.5× 93 0.3× 876 3.5× 46 1.9k
S. Renganathan India 20 1.0k 0.8× 367 0.5× 471 0.9× 96 0.4× 117 0.5× 63 1.9k

Countries citing papers authored by David D. McLean

Since Specialization
Citations

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

Fields of papers citing papers by David D. McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. McLean

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

All Works

20 of 20 papers shown
1.
McLean, David D., et al.. (2009). Optimal Separation of Glycerol and Methyl Oleate via Liquid−Liquid Extraction. Journal of Chemical & Engineering Data. 54(5). 1541–1550. 17 indexed citations
2.
McLean, David D., et al.. (2008). Enhancing Controller Performance via Dynamic Data Reconciliation. The Canadian Journal of Chemical Engineering. 83(3). 515–526. 7 indexed citations
3.
McLean, David D., et al.. (2007). Liquid−Liquid Equilibria of the Methyl Oleate−Glycerol−Hexane−Methanol System. Industrial & Engineering Chemistry Research. 47(2). 443–450. 15 indexed citations
4.
McLean, David D., et al.. (2007). Autoassociative neural networks for robust dynamic data reconciliation. AIChE Journal. 53(2). 438–448. 2 indexed citations
5.
McLean, David D., et al.. (2007). Simultaneous Measurement Bias Correction and Dynamic Data Reconciliation. The Canadian Journal of Chemical Engineering. 85(1). 111–117. 2 indexed citations
6.
McLean, David D., et al.. (2006). Impact of model structure on the performance of dynamic data reconciliation. Computers & Chemical Engineering. 31(3). 127–135. 5 indexed citations
7.
Zheng, Shiyan, M. Kates, Marc A. Dubé, & David D. McLean. (2006). Acid-catalyzed production of biodiesel from waste frying oil. Biomass and Bioenergy. 30(3). 267–272. 335 indexed citations
8.
Thibault, Jules, et al.. (2005). Dynamic data reconciliation: Alternative to Kalman filter. Journal of Process Control. 16(5). 485–498. 35 indexed citations
9.
Thibault, Jules, et al.. (2005). CLOSED-LOOP DATA RECONCILIATION FOR THE CONTROL OF A BINARY DISTILLATION COLUMN. Chemical Engineering Communications. 192(11). 1444–1467. 4 indexed citations
10.
Dubé, Marc A., et al.. (2004). A comparison of attenuated total reflectance‐FTIR spectroscopy and GPC for monitoring biodiesel production. Journal of the American Oil Chemists Society. 81(6). 599–603. 93 indexed citations
11.
Dubé, Marc A., et al.. (2003). Biodiesel production from waste cooking oil: 2. Economic assessment and sensitivity analysis. Bioresource Technology. 90(3). 229–240. 957 indexed citations breakdown →
12.
Kennedy, Kevin J., et al.. (1998). Technical Feasibility of Anaerobic Co-Digestion of Sewage Sludge and Municipal Solid Waste. Environmental Technology. 19(10). 993–1003. 30 indexed citations
13.
Labow, Rosalind S., et al.. (1995). Development of a mathematical model describing the enzymatic degradation of biomedical polyurethanes. 1. Background, rationale and model formulation. Polymer Degradation and Stability. 47(2). 229–249. 16 indexed citations
14.
McLean, David D., et al.. (1993). Modelling Of Radial Water/Oil Displacement Processes In Water-Wet Porous Media. Journal of Canadian Petroleum Technology. 32(2). 1 indexed citations
15.
Guiot, Serge R., et al.. (1989). Assessment of macroenergetic parameters for an anaerobic upflow biomass bed and filter (UBF) reactor. Biotechnology and Bioengineering. 34(10). 1277–1288. 26 indexed citations
16.
Brown, J R, et al.. (1988). Catalyst deactivation in acetylene polymerization. Applied Catalysis. 39. 191–211. 5 indexed citations
17.
McLean, David D., et al.. (1986). Fed‐batch production of cellulases using trichoderma reesei rutgers c‐30. The Canadian Journal of Chemical Engineering. 64(4). 588–597. 13 indexed citations
18.
McLean, David D.. (1985). [Multiresponse Estimation with Special Application to Linear Systems of Differential Equations]: Discussion. Technometrics. 27(4). 340–340. 7 indexed citations
19.
McLean, David D., et al.. (1979). Solution of the SSAM or redox equations. The Canadian Journal of Chemical Engineering. 57(5). 605–608. 8 indexed citations
20.
McLean, David D., Douglas J. Pritchard, D. W. Bacon, & J. Downie. (1979). Singularities in Multiresponse Modelling. Technometrics. 21(3). 291–298. 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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