Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Mark Lundstrom
Since
Specialization
Citations
This map shows the geographic impact of Mark Lundstrom'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 Mark Lundstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lundstrom more than expected).
This network shows the impact of papers produced by Mark Lundstrom. 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 Mark Lundstrom. The network helps show where Mark Lundstrom may publish in the future.
Co-authorship network of co-authors of Mark Lundstrom
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lundstrom.
A scholar is included among the top collaborators of Mark Lundstrom 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 Mark Lundstrom. Mark Lundstrom is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lundstrom, Mark & Jesse Maassen. (2015). A Simple Boltzmann Transport Equation for Ballistic to Diffusive Transient Heat Transport. Purdue e-Pubs (Purdue University System).23 indexed citations
Jeong, Changwook, Raseong Kim, & Mark Lundstrom. (2012). On the best bandstructure for thermoelectric performance: A Landauer Perspective. Purdue e-Pubs (Purdue University System).40 indexed citations
Gao, Yunfei, Tony Low, & Mark Lundstrom. (2006). Possibilities for V DD = 0.1V logic using carbon-based tunneling field effect transistors. Symposium on VLSI Technology. 180–181.3 indexed citations
Ren, Zhibin, et al.. (2002). Simulating Quantum Transport in Nanoscale MOSFETs: Real vs. Mode Space Approaches. Applied Physics Letters.20 indexed citations
12.
Javey, Ali, Hyoungsub Kim, Markus Brink, et al.. (2002). High-κ dielectrics for advanced carbon-nanotube transistors and logic gates. Nature Materials. 1(4). 241–246.782 indexed citations breakdown →
13.
Fortes, J.A.B., et al.. (1999). Statewide Enterprise Computing with the Purdue University Network-Computing Hubs.. International Conference on Enterprise Information Systems. 657–664.1 indexed citations
14.
Alam, Muhammad A. & Mark Lundstrom. (1995). Computational studies of the physics of optoelectronic devices. Purdue e-Pubs (Purdue University System).1 indexed citations
Lundstrom, Mark, et al.. (1987). Theoretical comparison of conventional and unconventional GaAs cell design. Photovoltaic Specialists Conference. 925.5 indexed citations
17.
Kyono, C. S., et al.. (1987). Dark IV characterization of GaAs p/n heteroface cells. pvsp. 93–97.2 indexed citations
18.
Lundstrom, Mark, et al.. (1985). GaAs concentrator cells - Design options and constraints. Photovoltaic Specialists Conference. 321–326.2 indexed citations
19.
Lundstrom, Mark, R. J. Schwartz, & J.L. Gray. (1981). Modeling solar cells containing heavily doped regions. Photovoltaic Specialists Conference. 400–405.2 indexed citations
20.
Schwartz, R. J. & Mark Lundstrom. (1980). Computer Modeling of High-Efficiency Solar Cells. 2169. 37.1 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.