Geewook Kim

1.0k total citations · 1 hit paper
10 papers, 318 citations indexed

About

Geewook Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Geewook Kim has authored 10 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Geewook Kim's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Handwritten Text Recognition Techniques (3 papers). Geewook Kim is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Handwritten Text Recognition Techniques (3 papers). Geewook Kim collaborates with scholars based in Japan, South Korea and Canada. Geewook Kim's co-authors include Junyeop Lee, Sungrae Park, Sangdoo Yun, Jeonghun Baek, Hwalsuk Lee, Seong Joon Oh, Dongyoon Han, Hidetoshi Shimodaira, Minjoon Seo and Wonseok Hwang and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Geewook Kim

7 papers receiving 299 citations

Hit Papers

What Is Wrong With Scene Text Recognition Model Compariso... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
    2019 296 citations Jeonghun Baek, Geewook Kim et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geewook Kim Japan 4 262 103 78 12 11 10 318
Sungrae Park South Korea 2 265 1.0× 92 0.9× 77 1.0× 12 1.0× 14 1.3× 3 306
Jeonghun Baek Japan 4 311 1.2× 113 1.1× 90 1.2× 13 1.1× 15 1.4× 11 369
Chris Tensmeyer United States 7 205 0.8× 56 0.5× 32 0.4× 6 0.5× 8 0.7× 13 256
Zenghui Sun China 5 383 1.5× 108 1.0× 172 2.2× 8 0.7× 7 0.6× 7 425
Josip Krapac Croatia 6 232 0.9× 93 0.9× 54 0.7× 7 0.6× 2 0.2× 13 288
Shi-Xue Zhang China 8 300 1.1× 67 0.7× 145 1.9× 12 1.0× 5 0.5× 9 332
Mingyuan Jiu France 9 172 0.7× 79 0.8× 29 0.4× 5 0.4× 6 0.5× 21 223
Shangbang Long United States 4 267 1.0× 70 0.7× 112 1.4× 17 1.4× 11 1.0× 8 312
Carl Case United States 4 236 0.9× 50 0.5× 90 1.2× 14 1.2× 4 0.4× 8 290

Countries citing papers authored by Geewook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Geewook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geewook Kim

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

All Works

10 of 10 papers shown
1.
Kim, Geewook, et al.. (2024). Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation. 11286–11315. 3 indexed citations
2.
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Hwang, Wonseok, et al.. (2021). Cost-effective End-to-end Information Extraction for Semi-structured Document Images. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3375–3383. 6 indexed citations
5.
Park, Sungrae, Geewook Kim, Junyeop Lee, et al.. (2020). Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. 6883–6893.
6.
Baek, Jeonghun, Geewook Kim, Junyeop Lee, et al.. (2019). What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. 4714–4722. 296 indexed citations breakdown →
7.
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Kim, Geewook, et al.. (2019). Segmentation-free compositional. 3207–3215. 2 indexed citations
9.
Kim, Geewook, et al.. (2018). Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. arXiv (Cornell University). 644–653. 3 indexed citations
10.
Kim, Geewook, et al.. (2018). Word-like character n-gram embedding. 148–152. 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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