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.
Reinforcement learning in urban network traffic signal control: A systematic literature review
2022133 citationsAna L. C. Bazzan et al.Expert Systems with Applicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Ana L. C. Bazzan
Since
Specialization
Citations
This map shows the geographic impact of Ana L. C. Bazzan'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 Ana L. C. Bazzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana L. C. Bazzan more than expected).
Fields of papers citing papers by Ana L. C. Bazzan
This network shows the impact of papers produced by Ana L. C. Bazzan. 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 Ana L. C. Bazzan. The network helps show where Ana L. C. Bazzan may publish in the future.
Co-authorship network of co-authors of Ana L. C. Bazzan
This figure shows the co-authorship network connecting the top 25 collaborators of Ana L. C. Bazzan.
A scholar is included among the top collaborators of Ana L. C. Bazzan 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 Ana L. C. Bazzan. Ana L. C. Bazzan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ramos, Gabriel de Oliveira, Bruno C. da Silva, & Ana L. C. Bazzan. (2017). Learning to Minimise Regret in Route Choice. Adaptive Agents and Multi-Agents Systems. 846–855.12 indexed citations
Bazzan, Ana L. C., et al.. (2016). Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice.. International Joint Conference on Artificial Intelligence.6 indexed citations
Silva, Bruno Castro da, et al.. (2016). Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks.. International Joint Conference on Artificial Intelligence.5 indexed citations
10.
Ramos, Gabriel de Oliveira & Ana L. C. Bazzan. (2016). On Estimating Action Regret and Learning From It in Route Choice.. International Joint Conference on Artificial Intelligence.3 indexed citations
Xiong, Yanhai, Jiarui Gan, Bo An, Chunyan Miao, & Ana L. C. Bazzan. (2015). Optimal electric vehicle charging station placement. International Conference on Artificial Intelligence. 2662–2668.41 indexed citations
13.
Bazzan, Ana L. C., Michael N. Huhns, Alessio Lomuscio, & Paul Scerri. (2014). Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. Adaptive Agents and Multi-Agents Systems.157 indexed citations
Oliveira, Denise de, et al.. (2006). Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator.. CEUR Workshop Proceedings. 31–42.36 indexed citations
17.
Bazzan, Ana L. C., Franziska Klügl, & Sascha Ossowskí. (2005). Agents in Traffic and Transportation (Whitestein Series in Software Agent Technologies).4 indexed citations
Bazzan, Ana L. C., et al.. (2004). Advances in artificial intelligence - SBIA 2004 : 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29 - October 1, 2004 : proceedings. Springer eBooks.
20.
Klügl, Franziska, Joachim Wahle, Ana L. C. Bazzan, & Michael Schreckenberg. (2000). Towards Anticipatory Traffic Forecast - Modelling of Route Choice Behaviour.1 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.