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.
Modeling and Tools for Network Simulation
2010354 citationsKlaus Wehrle, James Gross et al.profile →
Semantic Communications in Networked Systems: A Data Significance Perspective
2022132 citationsJames Gross et al.IEEE Networkprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of James Gross'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 James Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gross more than expected).
This network shows the impact of papers produced by James Gross. 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 James Gross. The network helps show where James Gross may publish in the future.
Co-authorship network of co-authors of James Gross
This figure shows the co-authorship network connecting the top 25 collaborators of James Gross.
A scholar is included among the top collaborators of James Gross 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 James Gross. James Gross is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gross, James, et al.. (2018). A Proposal for Wireless Control of Submodules in Modular Multilevel Converters. KTH Publication Database DiVA (KTH Royal Institute of Technology).7 indexed citations
10.
Ashraf, Shehzad Ali, et al.. (2017). From Radio Design to System Evaluations for Ultra-Reliable and Low-Latency Communication. RWTH Publications (RWTH Aachen). 1–8.6 indexed citations
11.
Al-Zubaidy, Hussein, et al.. (2017). Finite Length Coding in Edge Computing Scenarios.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–6.5 indexed citations
Dombrowski, Christian & James Gross. (2015). EchoRing: A Low-Latency, Reliable Token-Passing MAC Protocol for Wireless Industrial Networks. RWTH Publications (RWTH Aachen). 1–8.26 indexed citations
Petrova, Marina, et al.. (2013). On Semi-Static Interference Coordination under Proportional Fair Scheduling in LTE Systems. European Wireless Conference. 52(6). 1–8.5 indexed citations
17.
Hu, Yulin, James Gross, Anke Schmeink, & Tong Wang. (2013). Maximizing energy efficiency for multiple DF relay system with QoS constraint. RWTH Publications (RWTH Aachen). 1–5.
18.
Eisenblätter, Andreas, et al.. (2010). A two-stage approach to WLAN planning: Detailed performance evaluation along the Pareto frontier. HAL (Le Centre pour la Communication Scientifique Directe). 227–236.5 indexed citations
19.
Barrett, Lisa Feldman, Kevin N. Ochsner, & James Gross. (2007). On the automaticity of emotion. 114(3). 309–22.60 indexed citations
20.
Gross, James, Holger Karl, & Adam Wolisz. (2004). Throughput Optimization of Dynamic OFDM-FDMA Systems with Inband Signaling. KTH Publication Database DiVA (KTH Royal Institute of Technology).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.