Yotam Doron

1.5k total citations
2 papers, 93 citations indexed

About

Yotam Doron is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yotam Doron has authored 2 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yotam Doron's work include Modular Robots and Swarm Intelligence (1 paper), Natural Language Processing Techniques (1 paper) and Reinforcement Learning in Robotics (1 paper). Yotam Doron is often cited by papers focused on Modular Robots and Swarm Intelligence (1 paper), Natural Language Processing Techniques (1 paper) and Reinforcement Learning in Robotics (1 paper). Yotam Doron collaborates with scholars based in United Kingdom, Poland and United States. Yotam Doron's co-authors include Josh Merel, Siqi Liu, Yuval Tassa, Tom Erez, Nicolas Heess, Steven Bohez, Saran Tunyasuvunakool, Timothy Lillicrap, Alistair Muldal and Phil Blunsom and has published in prestigious journals such as Software Impacts and Empirical Methods in Natural Language Processing.

In The Last Decade

Yotam Doron

2 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yotam Doron United Kingdom	2	67	25	20	8	6	2	93
Murtaza Dalal United States	3	74 1.1×	35 1.4×	27 1.4×	9 1.1×	3 0.5×	4	102
Ignasi Clavera United States	3	48 0.7×	31 1.2×	14 0.7×	10 1.3×	5 0.8×	4	73
Suneel Belkhale United States	4	48 0.7×	39 1.6×	38 1.9×	8 1.0×	5 0.8×	4	113
Quan Vuong United States	7	52 0.8×	47 1.9×	49 2.5×	10 1.3×	3 0.5×	15	124
Maximilian Igl United Kingdom	6	47 0.7×	19 0.8×	21 1.1×	4 0.5×	6 1.0×	12	85
Stefan Depeweg Germany	4	60 0.9×	14 0.6×	10 0.5×	5 0.6×	6 1.0×	7	84
Shaobo Hou United Kingdom	5	53 0.8×	35 1.4×	64 3.2×	9 1.1×	12 2.0×	7	122
Wendelin Böhmer Netherlands	6	33 0.5×	19 0.8×	18 0.9×	7 0.9×	15 2.5×	10	76
Coline Devin United States	4	56 0.8×	33 1.3×	27 1.4×	4 0.5×	3 0.5×	7	75
D. J. Cox United States	2	31 0.5×	9 0.4×	8 0.4×	7 0.9×	5 0.8×	2	74

Countries citing papers authored by Yotam Doron

Since Specialization

Citations

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

Fields of papers citing papers by Yotam Doron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yotam Doron

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

All Works

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2 of 2 papers shown

1.

Tunyasuvunakool, Saran, Alistair Muldal, Yotam Doron, et al.. (2020). dm_control: Software and tasks for continuous control. Software Impacts. 6. 100022–100022. 89 indexed citations

2.

Yu, Lei, Po-Sen Huang, Wojciech Stokowiec, et al.. (2020). The DeepMind Chinese–English Document Translation System at WMT2020. Empirical Methods in Natural Language Processing. 326–337. 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.

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