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.
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Countries citing papers authored by Marius Portmann
Since
Specialization
Citations
This map shows the geographic impact of Marius Portmann'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 Marius Portmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Portmann more than expected).
This network shows the impact of papers produced by Marius Portmann. 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 Marius Portmann. The network helps show where Marius Portmann may publish in the future.
Co-authorship network of co-authors of Marius Portmann
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Portmann.
A scholar is included among the top collaborators of Marius Portmann 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 Marius Portmann. Marius Portmann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sandhu, Muhammad Moid, Sara Khalifa, Marius Portmann, & Raja Jurdak. (2023). Self-Powered Internet of Things. Green energy and technology.1 indexed citations
Fehnker, Ansgar, et al.. (2013). A process algebra for wireless mesh networks used for modelling, verifying and analysing AODV. arXiv (Cornell University).4 indexed citations
15.
Pirzada, Asad Amir, Marius Portmann, & Jadwiga Indulska. (2009). AODV-HM: A Hybrid Mesh Ad-hoc On-demand Distance Vector Routing Protocol. Queensland's institutional digital repository (The University of Queensland).4 indexed citations
16.
Pirzada, Asad Amir, et al.. (2009). ALARM: An adaptive load-aware routing metric for hybrid wireless mesh networks. Queensland's institutional digital repository (The University of Queensland). 91. 25–34.24 indexed citations
17.
Postuła, Adam, et al.. (2009). Tag anti-collision algorithms in RFID systems: a new trend. Queensland's institutional digital repository (The University of Queensland). 8(12). 1216–1232.9 indexed citations
18.
Pirzada, Asad Amir, Marius Portmann, & Jadwiga Indulska. (2007). Hybrid mesh ad-hoc on-demand distance vector routing protocol. Queensland's institutional digital repository (The University of Queensland). 62. 49–58.7 indexed citations
19.
Hu, Peizhao, Asad Amir Pirzada, & Marius Portmann. (2006). Experimental evaluation of AODV in a hybrid wireless mesh network. Queensland's institutional digital repository (The University of Queensland). 1(1). 1–6.11 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.