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.
Evolving Neural Networks through Augmenting Topologies
20021.9k citationsKenneth O. Stanley, Risto Miikkulainenprofile →
Designing neural networks through neuroevolution
2018399 citationsKenneth O. Stanley, Risto Miikkulainen et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Risto Miikkulainen
Since
Specialization
Citations
This map shows the geographic impact of Risto Miikkulainen'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 Risto Miikkulainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risto Miikkulainen more than expected).
Fields of papers citing papers by Risto Miikkulainen
This network shows the impact of papers produced by Risto Miikkulainen. 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 Risto Miikkulainen. The network helps show where Risto Miikkulainen may publish in the future.
Co-authorship network of co-authors of Risto Miikkulainen
This figure shows the co-authorship network connecting the top 25 collaborators of Risto Miikkulainen.
A scholar is included among the top collaborators of Risto Miikkulainen 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 Risto Miikkulainen. Risto Miikkulainen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meyerson, Elliot & Risto Miikkulainen. (2021). The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. arXiv (Cornell University).2 indexed citations
6.
Miikkulainen, Risto, et al.. (2020). From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic.. arXiv (Cornell University).2 indexed citations
7.
Meyerson, Elliot & Risto Miikkulainen. (2018). Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back. International Conference on Machine Learning. 3508–3517.5 indexed citations
8.
Miikkulainen, Risto, et al.. (2016). Object-Model Transfer in the General Video Game Domain. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 136–142.3 indexed citations
9.
Kohl, Nate & Risto Miikkulainen. (2009). Evolving neural networks for strategic decision-making problems.
Bryant, Bobby D. & Risto Miikkulainen. (2007). Acquiring visibly intelligent behavior with example-guided neuroevolution. National Conference on Artificial Intelligence. 801–808.14 indexed citations
Stanley, Kenneth O., et al.. (2006). Real-time interactive learning in the NERO video game. Journal of International Crisis and Risk Communication Research. 1953–1954.1 indexed citations
Stanley, Kenneth O., et al.. (2005). Real-Time Learning in the NERO Video Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 1(1). 159–160.15 indexed citations
16.
Stanley, Kenneth O. & Risto Miikkulainen. (2002). Continual Coevolution Through Complexification. Genetic and Evolutionary Computation Conference. 113–120.21 indexed citations
Polani, Daniel & Risto Miikkulainen. (2000). Eugenic neuro-evolution for reinforcement learning. Genetic and Evolutionary Computation Conference. 1041–1046.9 indexed citations
19.
Miikkulainen, Risto, et al.. (1994). Parsing embedded clauses with distributed neural networks. University of Twente Research Information. 858–864.1 indexed citations
20.
Miikkulainen, Risto, et al.. (1994). SARDNET: A Self-Organizing Feature Map for Sequences. Neural Information Processing Systems. 7. 577–584.59 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.