Ilyes Batatia

1.2k total citations · 2 hit papers
6 papers, 214 citations indexed

About

Ilyes Batatia is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Ilyes Batatia has authored 6 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 3 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Ilyes Batatia's work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (2 papers). Ilyes Batatia is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (2 papers). Ilyes Batatia collaborates with scholars based in United Kingdom, France and United States. Ilyes Batatia's co-authors include Dávid Péter Kovács, Gábor Cśanyi, Venkat Kapil, Daniel J. Cole, Gus L. W. Hart, William C. Witt, Ioan-Bogdan Magdău, A. Miguel, Joshua T. Horton and James P. Darby and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Ilyes Batatia

6 papers receiving 208 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Evaluation of the MACE force field architecture: From medicinal chemistry to materials science

2023 103 citations Dávid Péter Kovács, Ilyes Batatia et al. The Journal of Chemical Physics profile →
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules

2025 48 citations Dávid Péter Kovács, J. Harry Moore et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilyes Batatia United Kingdom	5	176	60	37	25	24	6	214
Wujie Wang United States	5	142 0.8×	58 1.0×	28 0.8×	16 0.6×	63 2.6×	7	193
James P. Darby United Kingdom	8	167 0.9×	40 0.7×	46 1.2×	21 0.8×	19 0.8×	11	218
Aditi S. Krishnapriyan United States	8	174 1.0×	27 0.5×	59 1.6×	42 1.7×	21 0.9×	15	248
Sina Stocker Germany	5	222 1.3×	103 1.7×	30 0.8×	35 1.4×	45 1.9×	5	266
Nicholas J. Browning Switzerland	6	123 0.7×	64 1.1×	19 0.5×	53 2.1×	49 2.0×	8	200
Georg Huhs Spain	4	135 0.8×	28 0.5×	39 1.1×	64 2.6×	20 0.8×	4	219
Felix Brockherde Germany	2	322 1.8×	111 1.9×	64 1.7×	28 1.1×	23 1.0×	2	350
Niklas W. A. Gebauer Germany	5	155 0.9×	124 2.1×	24 0.6×	12 0.5×	70 2.9×	5	221
Sergey N. Pozdnyakov Switzerland	8	277 1.6×	157 2.6×	21 0.6×	27 1.1×	61 2.5×	13	296
Marius R. Bittermann Netherlands	6	220 1.3×	93 1.6×	27 0.7×	45 1.8×	74 3.1×	13	286

Countries citing papers authored by Ilyes Batatia

Since Specialization

Citations

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

Fields of papers citing papers by Ilyes Batatia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilyes Batatia

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

All Works

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6 of 6 papers shown

1.

Kovács, Dávid Péter, J. Harry Moore, Nicholas J. Browning, et al.. (2025). MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules. Journal of the American Chemical Society. 147(21). 17598–17611. 48 indexed citations breakdown →

2.

Oord, Cas van der, Ilyes Batatia, Yaolong Zhang, et al.. (2024). Benchmarking of machine learning interatomic potentials for reactive hydrogen dynamics at metal surfaces. Machine Learning Science and Technology. 5(3). 30501–30501. 15 indexed citations

3.

Pia, Flaviano Della, Ilyes Batatia, Xavier R. Advincula, et al.. (2024). Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies. Faraday Discussions. 256(0). 120–138. 19 indexed citations

4.

Kovács, Dávid Péter, et al.. (2023). Evaluation of the MACE force field architecture: From medicinal chemistry to materials science. The Journal of Chemical Physics. 159(4). 103 indexed citations breakdown →

5.

Darby, James P., Dávid Péter Kovács, Ilyes Batatia, et al.. (2023). Tensor-Reduced Atomic Density Representations. Physical Review Letters. 131(2). 28001–28001. 26 indexed citations

6.

Batatia, Ilyes. (2020). A Deep Learning Method with CRF for Instance Segmentation of Metal-Organic Frameworks in Scanning Electron Microscopy Images. 625–629. 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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