Ramin Hasani

1.6k total citations
30 papers, 700 citations indexed

About

Ramin Hasani is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ramin Hasani has authored 30 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Ramin Hasani's work include Neural Networks and Applications (8 papers), Model Reduction and Neural Networks (7 papers) and Reinforcement Learning in Robotics (5 papers). Ramin Hasani is often cited by papers focused on Neural Networks and Applications (8 papers), Model Reduction and Neural Networks (7 papers) and Reinforcement Learning in Robotics (5 papers). Ramin Hasani collaborates with scholars based in Austria, United States and United Kingdom. Ramin Hasani's co-authors include Radu Grosu, Daniela Rus, Mathias Lechner, Alexander Amini, Thomas A. Henzinger, Aaron Ray, Guodong Wang, Gerald Teschl, Stephen Larson and Max Tschaikowski and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and Applied Soft Computing.

In The Last Decade

Ramin Hasani

30 papers receiving 680 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ramin Hasani Austria	13	235	139	134	125	72	30	700
Mathias Lechner Austria	9	202 0.9×	87 0.6×	97 0.7×	70 0.6×	56 0.8×	22	458
Yong Yao China	14	310 1.3×	302 2.2×	105 0.8×	244 2.0×	79 1.1×	60	1.0k
Rocco Fazzolari Italy	15	215 0.9×	91 0.7×	299 2.2×	47 0.4×	92 1.3×	56	765
Chunbo Xiu China	14	161 0.7×	177 1.3×	227 1.7×	125 1.0×	176 2.4×	77	784
Cüneyt Güzelіș Türkiye	18	241 1.0×	104 0.7×	158 1.2×	200 1.6×	316 4.4×	91	1.1k
Benyamin Kusumoputro Indonesia	16	214 0.9×	293 2.1×	135 1.0×	90 0.7×	154 2.1×	110	998
Yang-Yin Lin Taiwan	12	755 3.2×	318 2.3×	149 1.1×	154 1.2×	75 1.0×	23	1.1k
Felix Reinhart Germany	15	247 1.1×	292 2.1×	79 0.6×	96 0.8×	88 1.2×	52	636
Kee-Eung Kim South Korea	16	565 2.4×	107 0.8×	70 0.5×	115 0.9×	144 2.0×	63	941
Xiaodong Ren China	14	163 0.7×	100 0.7×	177 1.3×	333 2.7×	89 1.2×	38	867

Countries citing papers authored by Ramin Hasani

Since Specialization

Citations

This map shows the geographic impact of Ramin Hasani'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 Ramin Hasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramin Hasani more than expected).

Fields of papers citing papers by Ramin Hasani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramin Hasani. 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 Ramin Hasani. The network helps show where Ramin Hasani may publish in the future.

Co-authorship network of co-authors of Ramin Hasani

This figure shows the co-authorship network connecting the top 25 collaborators of Ramin Hasani. A scholar is included among the top collaborators of Ramin Hasani 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 Ramin Hasani. Ramin Hasani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Amini, Alexander, et al.. (2024). Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. 9968–9975. 1 indexed citations

Hasani, Ramin, et al.. (2023). Robust flight navigation out of distribution with liquid neural networks. Science Robotics. 8(77). eadc8892–eadc8892. 33 indexed citations

Lechner, Mathias, et al.. (2023). Infrastructure-based End-to-End Learning and Prevention of Driver Failure. 3576–3583. 1 indexed citations

Xiao, Wei, et al.. (2023). BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Transactions on Robotics. 39(3). 2289–2307. 62 indexed citations

Liu, Chao, et al.. (2023). Towards Cooperative Flight Control Using Visual-Attention. 6334–6341. 2 indexed citations

Hasani, Ramin, Mathias Lechner, Alexander Amini, et al.. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11). 992–1003. 69 indexed citations

Hasani, Ramin, et al.. (2022). Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning. PLoS ONE. 17(11). e0275358–e0275358. 7 indexed citations

Lechner, Mathias, et al.. (2022). Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. 2022 International Conference on Robotics and Automation (ICRA). 7513–7520. 21 indexed citations

Hasani, Ramin, Giorgio Ferrari, Hideaki Yamamoto, Takashi Tanii, & Enrico Prati. (2021). Role of Noise in Spontaneous Activity of Networks of Neurons on Patterned Silicon Emulated by Noise–activated CMOS Neural Nanoelectronic Circuits. Nano Express. 2(2). 20025–20025. 3 indexed citations

10.

Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, & Radu Grosu. (2021). Liquid Time-constant Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7657–7666. 119 indexed citations

11.

Lechner, Mathias & Ramin Hasani. (2020). Learning Long-Term Dependencies in Irregularly-Sampled Time Series. Neural Information Processing Systems. 33. 4 indexed citations

12.

Lechner, Mathias, Ramin Hasani, Daniela Rus, & Radu Grosu. (2020). Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme. reposiTUm (TU Wien). 8 indexed citations

13.

Hasani, Ramin, et al.. (2020). On The Verification of Neural ODEs with Stochastic Guarantees. arXiv (Cornell University). 35(13). 11525–11535. 1 indexed citations

14.

Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, & Radu Grosu. (2020). The Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. reposiTUm (TU Wien). 1. 4082–4093. 6 indexed citations

15.

Hasani, Ramin, Guodong Wang, & Radu Grosu. (2019). A Machine Learning Suite for Machine Components’ Health-Monitoring. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9472–9477. 10 indexed citations

16.

Wang, Guodong, et al.. (2019). A generative neural network model for the quality prediction of work in progress products. Applied Soft Computing. 85. 105683–105683. 45 indexed citations

17.

DelPreto, Joseph, Andrés F. Salazar-Gómez, Stephanie Gil, et al.. (2018). Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection. 15 indexed citations

18.

Sarma, Gopal, Bradly Alicea, Matteo Cantarelli, et al.. (2018). OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1758). 20170382–20170382. 46 indexed citations

19.

Hasani, Ramin, et al.. (2017). Compositional neural-network modeling of complex analog circuits. Spiral (Imperial College London). 2235–2242. 14 indexed citations

20.

Vaezpour, S. M., et al.. (2007). On the ε-Best Coapproximation. 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.

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