T. K. Aarrestad

45.0k total citations
8 papers, 148 citations indexed

About

T. K. Aarrestad is a scholar working on Nuclear and High Energy Physics, Radiation and Artificial Intelligence. According to data from OpenAlex, T. K. Aarrestad has authored 8 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Radiation and 3 papers in Artificial Intelligence. Recurrent topics in T. K. Aarrestad's work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (5 papers) and Radiation Detection and Scintillator Technologies (3 papers). T. K. Aarrestad is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (5 papers) and Radiation Detection and Scintillator Technologies (3 papers). T. K. Aarrestad collaborates with scholars based in Switzerland, United States and Serbia. T. K. Aarrestad's co-authors include M. Pierini, J. Ngadiuba, S. Summers, Vladimir Lončar, Ekaterina Govorkova, J. Duarte, T. Q. Nguyen, Z. Wu, K. A. Wozniak and Hao Zhuang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Data and Nature Machine Intelligence.

In The Last Decade

T. K. Aarrestad

8 papers receiving 146 citations

Peers

Countries citing papers authored by T. K. Aarrestad

Since Specialization

Citations

This map shows the geographic impact of T. K. Aarrestad'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 T. K. Aarrestad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. K. Aarrestad more than expected).

Fields of papers citing papers by T. K. Aarrestad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. K. Aarrestad. 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 T. K. Aarrestad. The network helps show where T. K. Aarrestad may publish in the future.

Co-authorship network of co-authors of T. K. Aarrestad

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Machine learning for anomaly detection in particle physics 2024 ·(unknown), (unknown), T. K. Aarrestad	25
2	Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider 2022 ·Nature Machine Intelligence ·Ekaterina Govorkova, (unknown), T. K. Aarrestad, (unknown), Vladimir Lončar, M. Pierini, (unknown), (unknown), (unknown), S. Summers, J. Ngadiuba, T. Q. Nguyen, J. Duarte, Z. Wu	50
3	Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider 2022 ·Nature Machine Intelligence ·Ekaterina Govorkova, (unknown), T. K. Aarrestad, (unknown), Vladimir Lončar, M. Pierini, (unknown), (unknown), (unknown), S. Summers, J. Ngadiuba, T. Q. Nguyen, J. Duarte, Z. Wu	1
4	LHC physics dataset for unsupervised New Physics detection at 40 MHz 2022 ·Scientific Data ·Ekaterina Govorkova, (unknown), T. K. Aarrestad, M. Pierini, K. A. Wozniak, J. Ngadiuba	20
5	Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml 2022 ·Machine Learning Science and Technology ·(unknown), Vladimir Lončar, M. Pierini, (unknown), S. Summers, T. K. Aarrestad, Christoffer Petersson, (unknown), J. Ngadiuba, (unknown), Philip Harris	17
6	Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows 2022 ·Frontiers in Big Data ·Pratik Jawahar, T. K. Aarrestad, N. Chernyavskaya, M. Pierini, (unknown), J. Ngadiuba, J. Duarte, (unknown)	19
7	Jet Single Shot Detection 2021 ·SHILAP Revista de lepidopterología ·(unknown), T. K. Aarrestad, (unknown), (unknown), (unknown), (unknown), Vladimir Lončar, J. Ngadiuba, M. Pierini, (unknown), S. Summers	1
8	Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml 2020 ·arXiv (Cornell University) ·(unknown), (unknown), Hao Zhuang, T. K. Aarrestad, Vladimir Lončar, J. Ngadiuba, M. Pierini, S. Summers	15

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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