Michael McLennan

1.6k total citations
42 papers, 1.1k citations indexed

About

Michael McLennan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Information Systems and Management. According to data from OpenAlex, Michael McLennan has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 14 papers in Atomic and Molecular Physics, and Optics and 10 papers in Information Systems and Management. Recurrent topics in Michael McLennan's work include Quantum and electron transport phenomena (11 papers), Scientific Computing and Data Management (9 papers) and Semiconductor Quantum Structures and Devices (8 papers). Michael McLennan is often cited by papers focused on Quantum and electron transport phenomena (11 papers), Scientific Computing and Data Management (9 papers) and Semiconductor Quantum Structures and Devices (8 papers). Michael McLennan collaborates with scholars based in United States, Australia and Germany. Michael McLennan's co-authors include Supriyo Datta, Rick Kennell, M. Cahay, Mark Lundstrom, Gerhard Klimeck, Yong Lee, George B. Adams, Sean Brophy, Ewa Deelman and Holger Frohne and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Michael McLennan

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael McLennan United States 14 512 421 277 211 185 42 1.1k
Wenbin Yu China 19 212 0.4× 321 0.8× 35 0.1× 220 1.0× 37 0.2× 94 1.0k
H. B. Newman United States 17 111 0.2× 242 0.6× 95 0.3× 583 2.8× 153 0.8× 117 1.2k
A. Sill United States 20 134 0.3× 137 0.3× 42 0.2× 227 1.1× 298 1.6× 85 1.6k
Subhash Saini United States 16 270 0.5× 60 0.1× 38 0.1× 414 2.0× 188 1.0× 65 950
Young‐Seok Kim South Korea 17 579 1.1× 644 1.5× 69 0.2× 70 0.3× 42 0.2× 129 1.7k
Tom Peterka United States 19 59 0.1× 73 0.2× 151 0.5× 280 1.3× 108 0.6× 57 1.2k
George Almási United States 25 137 0.3× 330 0.8× 34 0.1× 949 4.5× 315 1.7× 78 1.8k
Franz‐Josef Elmer Switzerland 14 333 0.7× 69 0.2× 47 0.2× 151 0.7× 28 0.2× 26 756
Howard Smith United States 11 146 0.3× 138 0.3× 34 0.1× 65 0.3× 257 1.4× 27 1.1k
R. Baron United States 20 370 0.7× 654 1.6× 18 0.1× 896 4.2× 188 1.0× 59 1.9k

Countries citing papers authored by Michael McLennan

Since Specialization
Citations

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

Fields of papers citing papers by Michael McLennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael McLennan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael McLennan. A scholar is included among the top collaborators of Michael McLennan 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 Michael McLennan. Michael McLennan 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.
Haley, Benjamin P, et al.. (2015). PUQ: A code for non-intrusive uncertainty propagation in computer simulations. Computer Physics Communications. 194. 97–107. 22 indexed citations
2.
Howison, James, Ewa Deelman, Michael McLennan, Rafael Ferreira da Silva, & James D. Herbsleb. (2015). Understanding the scientific software ecosystem and its impact: Current and future measures. Research Evaluation. 24(4). 454–470. 48 indexed citations
3.
McLennan, Michael. (2015). Resonant Tunneling Diode Simulator. 1 indexed citations
4.
McLennan, Michael, Steven M. Clark, Ewa Deelman, et al.. (2014). HUBzero and Pegasus: integrating scientific workflows into science gateways. Concurrency and Computation Practice and Experience. 27(2). 328–343. 13 indexed citations
5.
Wilkins‐Diehr, Nancy, Katherine Lawrence, Marlon Pierce, et al.. (2013). Science Gateways and the Importance of Sustainability. Figshare.
6.
Smith, Arnold L., Magdalena Bałazińska, Chaitan Baru, et al.. (2011). Biology and Data-Intensive Scientific Discovery in the Beginning of the 21st Century. OMICS A Journal of Integrative Biology. 15(4). 209–212. 13 indexed citations
7.
Heitzinger, Clemens, et al.. (2008). Modeling and simulation of field-effect biosensors (BioFETs) and their deployment on the nanoHUB. Journal of Physics Conference Series. 107. 12004–12004. 26 indexed citations
8.
Lundstrom, Mark, Gerhard Klimeck, George B. Adams, & Michael McLennan. (2008). HUB is where the heart is. IEEE Nanotechnology Magazine. 2(1). 28–31. 1 indexed citations
9.
Ahmed, Shaikh, et al.. (2007). QUANTUM SIMULATIONS OF DUAL GATE MOSFET DEVICES: BUILDING AND DEPLOYING COMMUNITY NANOTECHNOLOGY SOFTWARE TOOLS ON NANOHUB.ORG. International Journal of High Speed Electronics and Systems. 17(3). 485–494. 2 indexed citations
10.
McLennan, Michael, et al.. (2006). Hub-based Simulation and Graphics Hardware Accelerated Visualization for Nanotechnology Applications. IEEE Transactions on Visualization and Computer Graphics. 12(5). 1061–1068. 29 indexed citations
11.
Klimeck, Gerhard, Michael McLennan, Marek Korkusiński, et al.. (2006). NEMO 3-D and nanoHUB: Bridging Research and Education. 2006 Sixth IEEE Conference on Nanotechnology. 69. 441–444. 3 indexed citations
12.
Jakobsson, Eric, N. R. Aluru, Hagan Bayley, et al.. (2006). The national center for the design of biomimetic nanoconductors. Nanomedicine Nanotechnology Biology and Medicine. 2(4). 289–290. 1 indexed citations
13.
Duvall, Steven G., M.D. Giles, Rachel D. Harris, et al.. (2005). Developing and Integrating TCAD Applications with the Semiconductor Wafer Representation. 199–204. 2 indexed citations
14.
Clarke, De A., Mark Diekhans, Saul Greenberg, et al.. (1997). Tcl/Tk tools. 7 indexed citations
15.
Harrison, Mark & Michael McLennan. (1997). Effective Tcl/Tk Programming: Writing Better Programs with Tcl and Tk. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
16.
Lloyd, Peter, Colin C. McAndrew, Michael McLennan, et al.. (1995). Technology CAD at AT&T. Microelectronics Journal. 26(2-3). 79–97. 9 indexed citations
17.
McLennan, Michael. (1990). Where is the voltage drop? A numerical study using a quantum kinetic equation. Purdue e-Pubs (Purdue University System). 1 indexed citations
18.
McLennan, Michael, et al.. (1989). SEQUAL 2.1 User’s Manual. Purdue e-Pubs (Purdue University System). 1 indexed citations
19.
Cahay, M., Michael McLennan, Supriyo Datta, & Mark Lundstrom. (1987). SELF‐CONSISTENT I‐V CHARACTERISTICS OF ULTRA‐SMALL DEVICES. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 6(1). 53–57. 1 indexed citations
20.
Morrison, J. & Michael McLennan. (1976). THE THEORY, FEASIBILITY AND ACCURACY OF AN ULTRASONIC METHOD OF ESTIMATING FETAL WEIGHT*. BJOG An International Journal of Obstetrics & Gynaecology. 83(11). 833–837. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wenbin Yu Breakdown of academic impact, for papers by H. B. Newman Breakdown of academic impact, for papers by A. Sill Breakdown of academic impact, for papers by Subhash Saini Breakdown of academic impact, for papers by Young‐Seok Kim Breakdown of academic impact, for papers by Tom Peterka Breakdown of academic impact, for papers by George Almási Breakdown of academic impact, for papers by Franz‐Josef Elmer Breakdown of academic impact, for papers by Howard Smith Breakdown of academic impact, for papers by R. Baron
Rankless by CCL
2026