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 Klaus Pohl'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 Klaus Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Pohl more than expected).
This network shows the impact of papers produced by Klaus Pohl. 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 Klaus Pohl. The network helps show where Klaus Pohl may publish in the future.
Co-authorship network of co-authors of Klaus Pohl
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Pohl.
A scholar is included among the top collaborators of Klaus Pohl 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 Klaus Pohl. Klaus Pohl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Papazoglou, M., Klaus Pohl, Michael Parkin, & Andreas Metzger. (2010). Service research challenges and solutions for the future internet: S-cube - towards engineering, managing and adapting service-based systems. Springer eBooks.21 indexed citations
7.
Pohl, Klaus, et al.. (2010). Evaluation eines modellbasierten Requirements-Engineering-Ansatzes für den Einsatz in der Motorsteuerungs-Domäne.. 127–136.1 indexed citations
8.
Schermann, Michael, et al.. (2009). Towards a research method for theory-driven design research. Scholar Commons (Santa Clara University). 441–450.24 indexed citations
9.
Schermann, Michael, et al.. (2009). Justifying Design Decisions with Theory-based Design Principles. Journal of the Association for Information Systems. 1065–1076.6 indexed citations
10.
Weyer, Thorsten & Klaus Pohl. (2008). Eine Referenzstrukturierung zur modellbasierten Kontextanalyse im Requirements Engineering softwareintensiver eingebetteter Systeme.. 181–196.1 indexed citations
11.
Lauenroth, Kim, et al.. (2007). Positive Effekte von Szenarien und Features in einem Softwarepraktikum.. Universitätsbibliographie, Universität Duisburg-Essen. 27–40.
12.
Kamsties, Erik, et al.. (2004). Szenario-basiertes Systemtesten von Software-Produktfamilien mit ScenTED.. Universitätsbibliographie, Universität Duisburg-Essen. 169–186.1 indexed citations
Bosch, Jan, et al.. (2002). Variability issues in software product lines. Lecture notes in computer science. 13–21.74 indexed citations
15.
Haumer, Peter, Klaus Pohl, & K. Weidenhaupt. (1998). Abstraction Guides: Interrelating Conceptual Models with Real World Scenes.. Universitätsbibliographie, Universität Duisburg-Essen. 23–32.1 indexed citations
Pohl, Klaus & Peter Haumer. (1995). HYDRA: A Hypertext Model for Structuring Informal Requirements Representations. Universitätsbibliographie, Universität Duisburg-Essen.6 indexed citations
18.
Jarke, Matthias & Klaus Pohl. (1994). Establishing Visions in Context: Towards a Model of Requirements Processes.. Universitätsbibliographie, Universität Duisburg-Essen. 4. 49–62.16 indexed citations
19.
Pohl, Klaus, et al.. (1994). PRO-ART: PROcess based Approach to Requirements Traceability. Universitätsbibliographie, Universität Duisburg-Essen.4 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.