Johan Björck

1.2k total citations · 1 hit paper
11 papers, 419 citations indexed

About

Johan Björck is a scholar working on Materials Chemistry, Catalysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Johan Björck has authored 11 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Catalysis and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Johan Björck's work include Machine Learning in Materials Science (3 papers), Catalysis and Oxidation Reactions (3 papers) and Electronic and Structural Properties of Oxides (2 papers). Johan Björck is often cited by papers focused on Machine Learning in Materials Science (3 papers), Catalysis and Oxidation Reactions (3 papers) and Electronic and Structural Properties of Oxides (2 papers). Johan Björck collaborates with scholars based in United States, China and Sweden. Johan Björck's co-authors include Saksham Singhal, Dong Li, Zhiliang Peng, Subhojit Som, Hangbo Bao, Kriti Aggarwal, Furu Wei, Wenhui Wang, Qiang Liu and Carla P. Gomes and has published in prestigious journals such as Applied Physics Letters, AI Magazine and ACS Combinatorial Science.

In The Last Decade

Johan Björck

11 papers receiving 410 citations

Hit Papers

align trajectories

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.

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks

2023 247 citations Wenhui Wang, Hangbo Bao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Björck United States	7	195	162	92	37	37	11	419
Kaicheng Yu China	8	161 0.8×	112 0.7×	81 0.9×	46 1.2×	49 1.3×	18	334
Chaoqin Huang China	11	213 1.1×	205 1.3×	65 0.7×	45 1.2×	69 1.9×	27	502
Mingxuan Wang China	14	153 0.8×	383 2.4×	58 0.6×	36 1.0×	37 1.0×	51	588
Ge Song China	13	215 1.1×	82 0.5×	54 0.6×	18 0.5×	48 1.3×	36	452
Lahcen Koutti Morocco	11	144 0.7×	113 0.7×	18 0.2×	29 0.8×	40 1.1×	60	381
Ruixuan Wang China	9	77 0.4×	88 0.5×	40 0.4×	85 2.3×	38 1.0×	29	272

Countries citing papers authored by Johan Björck

Since Specialization

Citations

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

Fields of papers citing papers by Johan Björck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Björck

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

All Works

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11 of 11 papers shown

1.

Wang, Wenhui, Hangbo Bao, Dong Li, et al.. (2023). Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. 19175–19186. 247 indexed citations breakdown →

2.

Björck, Johan, Xiangyu Chen, Christopher De, Carla P. Gomes, & Kilian Q. Weinberger. (2021). Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. International Conference on Machine Learning. 980–991. 4 indexed citations

3.

Björck, Johan, Kilian Q. Weinberger, & Carla P. Gomes. (2021). Understanding Decoupled and Early Weight Decay. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6777–6785. 15 indexed citations

4.

Björck, Johan, et al.. (2021). Characterizing the Loss Landscape in Non-Negative Matrix Factorization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6768–6776. 1 indexed citations

5.

Björck, Johan, Brendan Rappazzo, Qinru Shi, et al.. (2021). Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 14711–14720. 7 indexed citations

6.

Gomes, Carla P., Junwen Bai, Yexiang Xue, et al.. (2019). CRYSTAL: a multi-agent AI system for automated mapping of materials’ crystal structures. MRS Communications. 9(2). 600–608. 26 indexed citations

7.

Björck, Johan, Yiwei Bai, Xiaojian Wu, et al.. (2018). Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 3 indexed citations

8.

Bai, Junwen, Yexiang Xue, Johan Björck, et al.. (2018). Phase‐Mapper: Accelerating Materials Discovery with AI. AI Magazine. 39(1). 15–26. 16 indexed citations

9.

Aref, Thomas, et al.. (2017). Surface acoustic wave unidirectional transducers for quantum applications. Applied Physics Letters. 110(7). 34 indexed citations

10.

Xue, Yexiang, Junwen Bai, Ronan Le Bras, et al.. (2017). Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 31(2). 4635–4642. 5 indexed citations

11.

Suram, Santosh K., Yexiang Xue, Junwen Bai, et al.. (2016). Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V–Mn–Nb Oxide System. ACS Combinatorial Science. 19(1). 37–46. 61 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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