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.
Micropower energy harvesting
2009662 citationsRuud Vullers, Chris Van Hoof et al.profile →
RF Energy Harvesting and Transport for Wireless Sensor Network Applications: Principles and Requirements
2013453 citationsHubregt J. Visser, Ruud Vullersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ruud Vullers'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 Ruud Vullers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruud Vullers more than expected).
This network shows the impact of papers produced by Ruud Vullers. 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 Ruud Vullers. The network helps show where Ruud Vullers may publish in the future.
Co-authorship network of co-authors of Ruud Vullers
This figure shows the co-authorship network connecting the top 25 collaborators of Ruud Vullers.
A scholar is included among the top collaborators of Ruud Vullers 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 Ruud Vullers. Ruud Vullers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Leonov, Vladimir, J. Su, & Ruud Vullers. (2010). Calculated performance characteristics of micromachined thermopiles in wearable devices. 391–396.1 indexed citations
Leonov, Vladimir, Tom Torfs, Chris Van Hoof, & Ruud Vullers. (2009). Smart Wireless Sensors Integrated in Clothing: an Electrocardiography System in a Shirt Powered Using Human Body Heat. 107(8). 154–176.34 indexed citations
11.
Huang, Li, Maryam Ashouei, Refet Fırat Yazıcıoğlu, et al.. (2009). Ultra-Low Power Sensor Design for Wireless Body Area Networks - Challenges, Potential Solutions, and Applications.. International Journal of Digital Content Technology and its Applications. 3. 136–148.23 indexed citations
12.
Leonov, Vladimir, Paolo Fiorini, Tom Torfs, Ruud Vullers, & Chris Van Hoof. (2009). Thermal matching of a thermoelectric energy harvester with the environment and its application in wearable self-powered wireless medical sensors. 95–100.15 indexed citations
13.
Leonov, Vladimir, Refet Fırat Yazıcıoğlu, Tom Torfs, et al.. (2008). Wearable Battery-free Wireless 2-channel EEG Systems Powered by Energy Scavengers. SHILAP Revista de lepidopterología.25 indexed citations
14.
Hohlfeld, Dennis, Ruud Vullers, & Jo De Boeck. (2008). An electromagnetic energy harvester for low frequency excitation. 1–8.1 indexed citations
15.
Leonov, Vladimir, B. Gyselinckx, Chris Van Hoof, et al.. (2008). Wearable self-powered wireless devices with thermoelectric energy scavengers. 1–8.16 indexed citations
16.
Torfs, Tom, Vladimir Leonov, & Ruud Vullers. (2007). Pulse Oximeter Fully Powered by Human Body Heat. SHILAP Revista de lepidopterología.5 indexed citations
17.
Vullers, Ruud, Vladimir Leonov, Tom Sterken, & Andreas Schmitz. (2006). Energy scavengers for wireless intelligent microsystems. Ghent University Academic Bibliography (Ghent University).10 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.