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.
Electric Cell–Substrate Impedance Sensing (ECIS) as a Noninvasive Means to Monitor the Kinetics of Cell Spreading to Artificial Surfaces
2000607 citationsJoachim Wegener, Ivar Giæver et al.Experimental Cell Researchprofile →
Analysis and occurrence of estrogenic hormones and their glucuronides in surface water and waste water in The Netherlands
Countries citing papers authored by Joachim Wegener
Since
Specialization
Citations
This map shows the geographic impact of Joachim Wegener'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 Joachim Wegener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Wegener more than expected).
This network shows the impact of papers produced by Joachim Wegener. 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 Joachim Wegener. The network helps show where Joachim Wegener may publish in the future.
Co-authorship network of co-authors of Joachim Wegener
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Wegener.
A scholar is included among the top collaborators of Joachim Wegener 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 Joachim Wegener. Joachim Wegener is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hu, Wei, et al.. (2011). MeMo - Methods of Model Quality.. 127–132.4 indexed citations
9.
Baars, Arthur I., Kiran Lakhotia, Tanja E. J. Vos, & Joachim Wegener. (2011). Search-based testing, the underlying engine of Future Internet testing. UCL Discovery (University College London). 917–923.1 indexed citations
Cantú‐Paz, Erick, Kalyanmoy Deb, Larry Davis, et al.. (2003). Genetic and evolutionary computation - GECCO 2003 : Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003 : proceedings. Springer eBooks.1 indexed citations
15.
Keese, Charles R., Kaumudi Bhawe, Joachim Wegener, & Ivar Giæver. (2002). Real-time impedance assay to monitor the invasive activities of metastatic cells in vitro. University of Regensburg Publication Server (University of Regensburg).8 indexed citations
16.
Sthamer, Harmen, Joachim Wegener, & André Baresel. (2002). Using evolutionary testing to improve efficiency and quality in software testing.8 indexed citations
17.
Wegener, Joachim, et al.. (2001). Quality assurance of the analysis of organotin - Methods and results from intercomparison exercises (workpackage 3.1). Technical report HIC-TBT project (LIFE98/ENV/NL/0001999). Data Archiving and Networked Services (DANS).1 indexed citations
18.
Jain, Brijnesh J., Hartmut Pohlheim, & Joachim Wegener. (2001). On termination criteria of evolutionary algorithms. Genetic and Evolutionary Computation Conference. 768–768.20 indexed citations
Grochtmann, Matthias, et al.. (1995). Test Case Design Using Classification Trees and the Classification-Tree Editor CTE.29 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.