Romain Laroche

1.2k total citations
35 papers, 340 citations indexed

About

Romain Laroche is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Romain Laroche has authored 35 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Romain Laroche's work include Speech and dialogue systems (15 papers), Multi-Agent Systems and Negotiation (12 papers) and Topic Modeling (6 papers). Romain Laroche is often cited by papers focused on Speech and dialogue systems (15 papers), Multi-Agent Systems and Negotiation (12 papers) and Topic Modeling (6 papers). Romain Laroche collaborates with scholars based in France, United States and United Kingdom. Romain Laroche's co-authors include Harm van Seijen, Joshua Romoff, Mehdi Fatemi, Fabrice Lefèvre, Pierre‐Yves Salaün, Rémi Tachet des Combes, Pierre‐Yves Le Roux, S. Querellou, Philippe Robin and Ronan Abgral and has published in prestigious journals such as Medicine, American Journal of Neuroradiology and Journal of Nuclear Medicine.

In The Last Decade

Romain Laroche

31 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romain Laroche France 9 189 59 31 30 27 35 340
N Moradzadeh United States 3 165 0.9× 121 2.1× 21 0.7× 18 0.6× 2 0.1× 6 341
Deepta Rajan United States 8 213 1.1× 59 1.0× 33 1.1× 2 0.1× 4 0.1× 19 400
Alain Cardon France 17 91 0.5× 23 0.4× 22 0.7× 28 0.9× 85 774
Nicandro Cruz-Ramírez Mexico 11 214 1.1× 57 1.0× 39 1.3× 7 0.3× 38 372
Cameron Foale Australia 10 165 0.9× 16 0.3× 27 0.9× 16 0.6× 22 360
Vitaly Schetinin United Kingdom 14 235 1.2× 38 0.6× 48 1.5× 2 0.1× 2 0.1× 40 461
Vinay Arora India 11 108 0.6× 75 1.3× 54 1.7× 5 0.2× 1 0.0× 41 355
Sara D’Onofrio Switzerland 8 47 0.2× 39 0.7× 16 0.5× 6 0.2× 4 0.1× 43 186
Mahsa Rezaei Iran 4 109 0.6× 60 1.0× 24 0.8× 4 0.1× 6 309
G. R. Hemalakshmi India 8 52 0.3× 114 1.9× 77 2.5× 5 0.2× 3 0.1× 17 249

Countries citing papers authored by Romain Laroche

Since Specialization
Citations

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

Fields of papers citing papers by Romain Laroche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Laroche

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

All Works

20 of 20 papers shown
1.
Zhang, Shangtong, et al.. (2022). A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. 1491–1499.
2.
Pyatigorskaya, Nadya, Romain Laroche, Alain Giron, et al.. (2020). Are Gadolinium-Enhanced MR Sequences Needed in Simultaneous 18F-FDG-PET/MRI for Tumor Delineation in Head and Neck Cancer?. American Journal of Neuroradiology. 41(10). 1888–1896. 8 indexed citations
3.
Adhikari, Ashutosh, Xingdi Yuan, Marc-Alexandre Côté, et al.. (2020). Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.. arXiv (Cornell University). 9 indexed citations
4.
Leurent, Edouard, et al.. (2019). Scaling up budgeted reinforcement learning.. 2 indexed citations
5.
Laroche, Romain & Rémi Tachet des Combes. (2019). Multi-batch Reinforcement Learning. 1 indexed citations
6.
Yuan, Xingdi, Marc-Alexandre Côté, Alessandro Sordoni, et al.. (2018). Counting to Explore and Generalize in Text-based Games. International Conference on Machine Learning. 1–12. 1 indexed citations
7.
Laroche, Romain, Thomas Williams, Philippe Robin, et al.. (2018). Clinical interest of quantitative bone SPECT-CT in the preoperative assessment of knee osteoarthritis. Medicine. 97(35). e11943–e11943. 24 indexed citations
8.
Laroche, Romain, et al.. (2018). On Value Function Representation of Long Horizon Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 8 indexed citations
9.
Keromnes, Nathalie, Philippe Robin, Ronan Abgral, et al.. (2017). Incremental diagnostic utility of systematic double-bed SPECT/CT for bone scintigraphy in initial staging of cancer patients. Cancer Imaging. 17(1). 16–16. 21 indexed citations
10.
Laroche, Romain, et al.. (2016). Transfer Learning for User Adaptation in Spoken Dialogue Systems. Adaptive Agents and Multi-Agents Systems. 975–983. 12 indexed citations
11.
Laroche, Romain, Philippe Robin, Ulrike Schick, et al.. (2016). Therapeutic response assessment of bone metastatic prostate carcinoma treated by abiraterone using x-SPECT Quant®: preliminary results.. 57. 1422–1422. 3 indexed citations
12.
Laroche, Romain, Chloé Bertolus, Nadya Pyatigorskaya, et al.. (2016). Carcinome adénoïde kystique en TEP/TDM et TEP/IRM : comparaison des deux modalités. Médecine Nucléaire. 40(3). 212–212.
13.
Roux, Pierre‐Yves Le, Matthieu Pelletier‐Galarneau, Romain Laroche, et al.. (2015). Pulmonary Scintigraphy for the Diagnosis of Acute Pulmonary Embolism: A Survey of Current Practices in Australia, Canada, and France. Journal of Nuclear Medicine. 56(8). 1212–1217. 38 indexed citations
14.
Laroche, Romain, et al.. (2014). Un assistant vocal personnalisable. 1 indexed citations
15.
Laroche, Romain, et al.. (2014). Vers une approche simplifiee pour introduire le caractere incremental dans les systemes de dialogue. 1 indexed citations
16.
Laroche, Romain, et al.. (2010). Online reinforcement learning for spoken dialogue systems: The story of a commercial deployment success. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 1 indexed citations
17.
Laroche, Romain, et al.. (2010). Optimising a handcrafted dialogue system design. 3010–3013. 2 indexed citations
18.
Laroche, Romain, et al.. (2009). Hybridisation of expertise and reinforcement learning in dialogue systems. 2479–2482. 5 indexed citations
19.
High, Karen & Romain Laroche. (1995). Parallel nonlinear optimization techniques for chemical process design problems. Computers & Chemical Engineering. 19(6-7). 807–825. 4 indexed citations
20.
Jeandel, P, et al.. (1992). [Value and limits of tomodensitometry applied to the diagnosis of sacroiliitis in young adults: study of 200 cases].. PubMed. 59(6). 413–20. 3 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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