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.
A Lightweight Authentication Mechanism for M2M Communications in Industrial IoT Environment
2017235 citationsAlireza Esfahani, Γεώργιος Μαντάς et al.IEEE Internet of Things Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Christoph Schmittner
Since
Specialization
Citations
This map shows the geographic impact of Christoph Schmittner'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 Christoph Schmittner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Schmittner more than expected).
Fields of papers citing papers by Christoph Schmittner
This network shows the impact of papers produced by Christoph Schmittner. 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 Christoph Schmittner. The network helps show where Christoph Schmittner may publish in the future.
Co-authorship network of co-authors of Christoph Schmittner
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Schmittner.
A scholar is included among the top collaborators of Christoph Schmittner 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 Christoph Schmittner. Christoph Schmittner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Maksuti, Silia, et al.. (2021). Establishing a Chain of Trust in a Sporadically Connected Cyber-Physical System. Integrated Network Management. 890–895.2 indexed citations
Schmittner, Christoph, et al.. (2020). ThreatGet: Threat modeling based approach for automated and connected vehicle systems. 26–28.8 indexed citations
Schmittner, Christoph, et al.. (2019). Managing the Trade-off between Security and Power Consumption for Smart CPS-IoT Networks.. ERCIM news/ERCIM news online edition. 2019.
Tauber, Markus & Christoph Schmittner. (2018). Enabling Security and Safety Evaluation in Industry 4.0 Use Cases with Digital Twins. ERCIM news/ERCIM news online edition. 2018.3 indexed citations
Schmittner, Christoph, Zhendong Ma, Thomas Gruber, & Erwin Schoitsch. (2017). Safety and Security Co-engineering of Connected, Intelligent, and Automated Vehicles.. ERCIM news/ERCIM news online edition. 2017.1 indexed citations
17.
Esfahani, Alireza, Γεώργιος Μαντάς, Rainer Matischek, et al.. (2017). A Lightweight Authentication Mechanism for M2M Communications in Industrial IoT Environment. IEEE Internet of Things Journal. 6(1). 288–296.235 indexed citations breakdown →
Schneider, Daniel, et al.. (2015). Five Major Reasons Why Safety and Security Haven't Married (Yet).. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2015.
20.
Schmittner, Christoph, Zhendong Ma, & Thomas Gruber. (2015). Combining Safety and Security Engineering for Trustworthy Cyber-Physical Systems.. ERCIM news/ERCIM news online edition. 2015.
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.