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.
High-performance flat-panel solar thermoelectric generators with high thermal concentration
2011987 citationsDaniel Kraemer, Bed Poudel et al.Nature Materialsprofile →
Nanostructured polymer films with metal-like thermal conductivity
2019297 citationsYanfei Xu, Daniel Kraemer et al.Nature Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel Kraemer
Since
Specialization
Citations
This map shows the geographic impact of Daniel Kraemer'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 Kraemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kraemer more than expected).
This network shows the impact of papers produced by Daniel Kraemer. 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 Kraemer. The network helps show where Daniel Kraemer may publish in the future.
Co-authorship network of co-authors of Daniel Kraemer
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kraemer.
A scholar is included among the top collaborators of Daniel Kraemer 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 Kraemer. Daniel Kraemer 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.
Xu, Yanfei, Daniel Kraemer, Bai Song, et al.. (2019). Nanostructured polymer films with metal-like thermal conductivity. Nature.1 indexed citations
2.
Xu, Yanfei, Daniel Kraemer, Bai Song, et al.. (2019). Nanostructured polymer films with metal-like thermal conductivity. Nature Communications. 10(1). 1771–1771.297 indexed citations breakdown →
McEnaney, Kenneth, Lee A. Weinstein, Daniel Kraemer, Hadi Ghasemi, & Gang Chen. (2017). Aerogel-based solar thermal receivers. Nano Energy. 40. 180–186.77 indexed citations
He, Ran, Daniel Kraemer, Jun Mao, et al.. (2016). Achieving high power factor and output power density in p-type half-Heuslers Nb. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Cao, Feng, Daniel Kraemer, Tianyi Sun, et al.. (2014). Enhanced Thermal Stability of W-Ni-Al[subscript 2]O[subscript 3] Cermet-Based Spectrally Selective Solar Absorbers with W Infrared Reflectors. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Kraemer, Daniel, Bed Poudel, J. C. Caylor, et al.. (2011). High-performance flat-panel solar thermoelectric generators with high thermal concentration. Nature Materials. 10(7). 532–538.987 indexed citations breakdown →
Chen, Gang, Daniel Kraemer, Andrew Muto, et al.. (2011). Thermoelectric energy conversion using nanostructured materials. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8031. 80311J–80311J.4 indexed citations
17.
Kulipanov, G. N., et al.. (2004). 9 TESLA SUPERBEND FOR BESSY-2.3 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.