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.
This map shows the geographic impact of Dick Epema'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 Dick Epema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick Epema more than expected).
This network shows the impact of papers produced by Dick Epema. 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 Dick Epema. The network helps show where Dick Epema may publish in the future.
Co-authorship network of co-authors of Dick Epema
This figure shows the co-authorship network connecting the top 25 collaborators of Dick Epema.
A scholar is included among the top collaborators of Dick Epema 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 Dick Epema. Dick Epema is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abrishami, Saeid, Mahmoud Naghibzadeh, & Dick Epema. (2012). Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds. Future Generation Computer Systems. 29(1). 158–169.502 indexed citations breakdown →
6.
Ostermann, Simon, Alexandru Iosup, Nezih Yigitbasi, et al.. (2010). A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. Telecommunications Policy.35 indexed citations
7.
Meulpolder, M., Lucia D’Acunto, Mihai Capotă, et al.. (2010). Public and private BitTorrent communities: a measurement study. 10–10.45 indexed citations
Kertész, Attila, Péter Kacsuk, Alexandru Iosup, & Dick Epema. (2008). Investigating peer-to-peer meta-brokering in grids. SZTAKI Publication Repository (Hungarian Academy of Sciences).3 indexed citations
Garbacki, Paweł, Dick Epema, Johan Pouwelse, & Maarten van Steen. (2008). Offloading servers with collaborative video on demand. VU Research Portal. 6–6.15 indexed citations
13.
Ostermann, Simon, Radu Prodan, Thomas Fahringer, & Dick Epema. (2008). ON THE CHARACTERISTICS OF GRID WORKFLOWS. 87(10). 18–23.16 indexed citations
14.
Meulpolder, M., et al.. (2007). TriblerCampus: Integrated Peer-to-Peer File Distribution in Course Management Systems. EdMedia: World Conference on Educational Media and Technology. 2007(1). 1528–1536.1 indexed citations
Pouwelse, Johan, Paweł Garbacki, Wang Jun, et al.. (2006). Tribler: A social-based Peer-to-Peer system. TU/e Research Portal (Eindhoven University of Technology).85 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.