Najoung Kim

1.2k total citations
19 papers, 354 citations indexed

About

Najoung Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Najoung Kim has authored 19 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Najoung Kim's work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (5 papers). Najoung Kim is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (5 papers). Najoung Kim collaborates with scholars based in United States, South Korea and France. Najoung Kim's co-authors include Tal Linzen, Ellie Pavlick, Samuel R. Bowman, Benjamin Van Durme, Patrick Xia, Ian Tenney, Adam Poliak, Alex Wang, Berlin Chen and Deepak Ramachandran and has published in prestigious journals such as Frontiers in Psychology, Cognitive Science and Journal of Computing Science and Engineering.

In The Last Decade

Najoung Kim

19 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Najoung Kim United States	10	289	80	34	33	18	19	354
Clara Meister Switzerland	11	285 1.0×	46 0.6×	56 1.6×	49 1.5×	27 1.5×	30	358
R. Thomas McCoy United States	9	283 1.0×	56 0.7×	28 0.8×	15 0.5×	10 0.6×	18	340
Omri Abend Israel	18	755 2.6×	83 1.0×	11 0.3×	35 1.1×	32 1.8×	56	802
Dieuwke Hupkes Netherlands	10	414 1.4×	97 1.2×	48 1.4×	25 0.8×	19 1.1×	24	468
Andrew K. Lampinen United States	8	154 0.5×	55 0.7×	49 1.4×	25 0.8×	22 1.2×	20	272
Nora Hollenstein Switzerland	12	354 1.2×	66 0.8×	160 4.7×	21 0.6×	31 1.7×	40	487
Diptesh Kanojia India	10	208 0.7×	43 0.5×	14 0.4×	25 0.8×	6 0.3×	50	246
Miloš Stanojević Netherlands	10	314 1.1×	56 0.7×	33 1.0×	30 0.9×	12 0.7×	30	342
Dmitriy Genzel United States	9	380 1.3×	75 0.9×	50 1.5×	14 0.4×	32 1.8×	14	483
Denis Paperno Italy	10	264 0.9×	55 0.7×	12 0.4×	11 0.3×	8 0.4×	30	322

Countries citing papers authored by Najoung Kim

Since Specialization

Citations

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

Fields of papers citing papers by Najoung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Najoung Kim

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

All Works

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19 of 19 papers shown

Lee, Yukyung, et al.. (2025). CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists. 15782–15809. 1 indexed citations

Wu, Zhaofeng, Linlu Qiu, Ekin Akyürek, et al.. (2024). Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. 1819–1862. 27 indexed citations

Lee, Jason, Najoung Kim, Yi Tay, & Quoc V. Le. (2023). Inverse Scaling Can Become U-Shaped. OpenBU (Boston University). 15580–15591. 15 indexed citations

Kazemi, Mehran, Najoung Kim, Deepti Bhatia, Xin Xu, & Deepak Ramachandran. (2023). LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. OpenBU (Boston University). 6547–6568. 16 indexed citations

Koller, Alexander, et al.. (2023). SLOG: A Structural Generalization Benchmark for Semantic Parsing. OpenBU (Boston University). 3213–3232. 2 indexed citations

Kim, Najoung & Sebastian Schuster. (2023). Entity Tracking in Language Models. OpenBU (Boston University). 3835–3855. 5 indexed citations

Wang, Wentao, et al.. (2023). Finding Structure in One Child's Linguistic Experience. Cognitive Science. 47(6). e13305–e13305. 5 indexed citations

Kim, Najoung, et al.. (2023). (QA)2: Question Answering with Questionable Assumptions: Question Answering with Questionable Assumptions. OpenBU (Boston University). 8466–8487. 1 indexed citations

Kim, Najoung, Ellie Pavlick, Burcu Karagol Ayan, & Deepak Ramachandran. (2021). Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. 3932–3945. 14 indexed citations

10.

Kim, Najoung & Paul Smolensky. (2021). Testing for Grammatical Category Abstraction in Neural Language Models. University of Massachusetts (UMass) Amherst. 4(1). 467–470. 5 indexed citations

11.

Kim, Najoung & Tal Linzen. (2020). COGS: A Compositional Generalization Challenge Based on Semantic Interpretation. 9087–9105. 93 indexed citations

12.

Kim, Najoung, Song Feng, Chulaka Gunasekara, & Luis Lastras. (2020). Implicit Discourse Relation Classification: We Need to Talk about Evaluation. 5404–5414. 18 indexed citations

13.

Kim, Najoung, Kyle Rawlins, Benjamin Van Durme, & Paul Smolensky. (2019). Predicting the Argumenthood of English Prepositional Phrases. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6578–6585. 1 indexed citations

14.

Kim, Najoung, et al.. (2019). Automatic Scoring of Semantic Fluency. Frontiers in Psychology. 10. 1020–1020. 22 indexed citations

15.

Kim, Najoung, Roma Patel, Adam Poliak, et al.. (2019). Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. 235–249. 44 indexed citations

16.

Tenney, Ian, Patrick Xia, Berlin Chen, et al.. (2019). What do you learn from context? Probing for sentence structure in contextualized word representations. arXiv (Cornell University). 67 indexed citations

17.

Bowman, Samuel R., Ellie Pavlick, Édouard Grave, et al.. (2018). Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.. 11 indexed citations

18.

Kim, Najoung, et al.. (2016). Enhanced Sign Language Transcription System via Hand Tracking and Pose Estimation. Journal of Computing Science and Engineering. 10(3). 95–101. 3 indexed citations

19.

Wolters, Maria, et al.. (2016). Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition. Edinburgh Research Explorer. 2085–2089. 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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