Łukasz Lew

417 total citations
3 papers, 39 citations indexed

About

Łukasz Lew is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Łukasz Lew has authored 3 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Łukasz Lew's work include Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (1 paper). Łukasz Lew is often cited by papers focused on Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (1 paper). Łukasz Lew collaborates with scholars based in United States. Łukasz Lew's co-authors include Zhiru Zhang, Yichi Zhang, Shivani Agrawal, Shaojin Ding, Andrew Howard, Sherief Reda, Shan Li and Chas Leichner and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Interspeech 2022.

In The Last Decade

Łukasz Lew

3 papers receiving 37 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Łukasz Lew United States	2	27	14	8	8	3	3	39
Eik List Germany	4	37 1.4×	27 1.9×	7 0.9×	5 0.6×		15	39
Sukmin Yun South Korea	3	44 1.6×	35 2.5×	5 0.6×	4 0.5×	3 1.0×	5	67
Asier Mujika Switzerland	4	24 0.9×	6 0.4×	4 0.5×	6 0.8×		6	34
Wilka Carvalho United States	3	37 1.4×	13 0.9×	5 0.6×	2 0.3×		3	53
Chiheb Trabelsi Canada	2	22 0.8×	9 0.6×	3 0.4×	5 0.6×		3	30
Xinyong Peng China	4	9 0.3×	5 0.4×	6 0.8×	8 1.0×	4 1.3×	12	21
Maha Elbayad United States	4	68 2.5×	18 1.3×	8 1.0×	3 0.4×		7	82
Bastiaan S. Veeling Netherlands	4	24 0.9×	18 1.3×	7 0.9×	4 0.5×	3 1.0×	6	49
Chuanbiao Song China	4	45 1.7×	20 1.4×	11 1.4×	2 0.3×	1 0.3×	7	50
Yichi Zhou China	3	20 0.7×	5 0.4×	3 0.4×	4 0.5×	1 0.3×	8	33

Countries citing papers authored by Łukasz Lew

Since Specialization

Citations

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

Fields of papers citing papers by Łukasz Lew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Lew

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

All Works

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3 of 3 papers shown

1.

Leichner, Chas, et al.. (2024). PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. 15996–16005. 1 indexed citations

2.

Ding, Shaojin, et al.. (2022). 4-bit Conformer with Native Quantization Aware Training for Speech Recognition. Interspeech 2022. 1711–1715. 16 indexed citations

3.

Zhang, Yichi, Zhiru Zhang, & Łukasz Lew. (2022). PokeBNN: A Binary Pursuit of Lightweight Accuracy. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12465–12475. 22 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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