Publications

Journal Articles

J21: Kim, J.*, Kim, J., & Kim, J. (May 2021, published online first). Effect of Chinese Characters on Machine Learning for Chinese Author Name Disambiguation: A Counterfactual Evaluation. Journal of Information Science. [Paper]

J20: Kim, J.*, Kim, J., & Owen-Smith, J. (2021). Ethnicity-based Name Partitioning for Author Name Disambiguation Using Supervised Machine Learning. Journal of the Association for Information Science and Technology. 72(8), 979-994. [Paper (Open-Access)] [Data]

J19: Kim, J.*, & Owen-Smith, J. (2021). ORCID-Linked Labeled Data for Evaluating Author Name Disambiguation at Scale. Scientometrics. 126(3), 2057-2083. [arXiv] [Paper (Open-Access)] [Data]

J18: Kim, J.*, & Owen-Smith, J. (2020). Model Reuse in Machine Learning for Author Name Disambiguation: An Exploration of Transfer Learning. IEEE ACCESS. 8, 188378-188389. [Paper (Open-Access)]

J17: Kim, J.*, & Kim, J. (2020). Effect of Forename String on Author Name Disambiguation. Journal of the Association for Information Science and Technology. 71(7), 839-855. [Paper (Open-Access] [arXiv]

J16: Kim, J.* (2019). A Fast and Integrative Algorithm for Clustering Performance Evaluation in Author Name Disambiguation. Scientometrics, 120(2), 661-681. [Paper (Open-Access)] [arXiv] [Code]

J15: Kim, J.*, & Diesner, J. (2019). Formational Bounds of Link Prediction in Collaboration Networks. Scientometrics, 119(2), 687-706. [Paper (Open-Access] [arXiv]

J14: Kim, J.* (2019). Scale-free Collaboration Networks: An Author Name Disambiguation Perspective. Journal of the Association for Information Science and Technology, 70(7), 685-700. [Paper] [arXiv]

J13: Kim, J.*, Kim, J., & Owen-Smith, J. (2019). Generating Automatically Labeled Data for Author Name Disambiguation: An Iterative Clustering Method. Scientometrics, 118(1), 253-280. [Paper (Open-Access)] [arXiv]

J12: Kim, J.* (2019). Author-Based Analysis of Conference Versus Journal Publication in Computer Science. Journal of the Association for Information Science and Technology, 70(1), 71-82. [Paper] [arXiv]

J11: Kim, J.*, & Kim, J. (2018). The Impact of Imbalanced Training Data on Machine Learning for Author Name Disambiguation. Scientometrics, 117(1), 511-526. [Paper (Open-Access)] [arXiv]

J10: Kim, J.* (2018). Evaluating Author Name Disambiguation for Digital Libraries: A Case of DBLP. Scientometrics, 116(3), 1867-1886. [Paper (Open-Access)] [arXiv] [Data]

J09: Kim, J.*, & Diesner, J. (2017). Over-Time Measurement of Triadic Closure in Coauthorship Networks. Social Network Analysis and Mining, 7(9). 1-12. [Paper (Open-Access)] [arXiv]

J08: Kim, J.*, & Diesner, J. (2016). Distortive Effects of Initial-Based Disambiguation on Measurements of Large-Scale Coauthorship Networks. Journal of the Association for Information Science and Technology, 67(6), 1446-1461. [Paper] [arXiv]

J07: Kim, J.*, Tao, L., Lee, S-H., & Diesner, J. (2016). Evolution and Structure of Scientific Co-Publishing Network in Korea between 1948 and 2011. Scientometrics, 107(1), 27-41. [Paper (Open-Access)]

J06: Kim, J.*, & Diesner, J. (2015). The Effect of Data Pre-processing on Understanding the Evolution of Collaboration Networks. Journal of Informetrics, 9(1), 226-236. [Paper]

J05: Kim, J.*, & Diesner, J. (2015). Coauthorship Networks: A Directed Network Approach Considering the Order and Number of Coauthors. Journal of the Association for Information Science and Technology, 66(12), 2685-2696. [Paper] [arXiv]

J04: Kim, J.*, & Kim, J. (2015). Rethinking the Comparison of Coauthorship Credit Allocation Schemes. Journal of Informetrics, 9(3), 667-673. [Paper]

J03: Kim, J.*, & Diesner, J. (2014). A Network-Based Approach to Coauthorship Credit Allocation. Scientometrics, 101(1), 587-602. [Paper (Open-Access)]

J02: Diesner, J.*, Kim, J., & Pak, S. (2014). Computational Impact Assessment of Social Justice Documentaries. Journal of Electronic Publishing, 17(3). DOI: 10.3998/3336451.0017.306 [Paper (Open-Access)]

J01: Kim, J., Kim, H., & Diesner, J.* (2014). The Impact of Name Ambiguity on Properties of Coauthorship Networks. Journal of Information Science Theory and Practice, 2(2), 6-15. [Paper (Open-Access)]

Peer-Reviewed Conference Papers

C03: Diesner, J.*, Evans, C., and Kim, J. (2015) Impact of Entity Disambiguation Errors on Social Network Properties. International AAAI (Association for the Advancement of Artificial Intelligence) Conference on Web and Social Media (ICWSM). Oxford, UK. [ ]

C02: Kim, J.*, Diesner, J., Aleyasen, A., Kim, H., & Kim, H.-M. (2014). Why Name Ambiguity Resolution Matters for Scholarly Big Data Research. 2014 IEEE Conference on Big Data, Washington, DC.

C01: Diesner, J.*, Pak, S., Kim, J., Aleyasen, A., & Soltani, K. (2014). Computational Assessment of the Impact of Social Justice Documentaries. iConference 2014. Berlin, Germany.

Peer-Reviewed Extended Abstracts &

Presentations at Professional Meetings

P09: Kim, J., & Diesner, J. (2018). Biases in Bibliometric Network Data and the Measurement of Triadic Closure. Presentation at the 2^nd European Symposium on Societal Challenges in Computational Social Science: Discrimination and Bias, Cologne, Germany

P08: Kim, J., & Diesner, J. (2014). The Impact of Data Quality on Knowledge Discovery in Big Data: A Case of Name Ambiguity. Presentation at the Daegu-Gyeongbuk International Social Network Conference. Daegu, Korea.

P07: Diesner, J., & Kim, J. (2014). Computational Impact Assessment of Social Justice Media. Presentation at the Daegu-Gyeongbuk International Social Network Conference. Daegu, Korea.

P06: Diesner, J., Kim, J., & Higgins, A. (2014). Socio-Semantic Network Analysis for Impact Assessment. European Social Networks Conference (EUSN 2014). Barcelona, Spain.

P05: Kim, J., & Diesner, J. (2014). Structure of Scientific Collaboration: Considering the Order of Co-authors for Co-authorship Networks. Presentation at the International Network for Social Network Analysis. Saint Pete, FL.

P04: Diesner J, Kim J, Pak S (2014). Socio-Semantic Network Analysis for Impact Assessment of Documentaries. Presentations at International Network for Social Network Analysis. St Pete Beach, FL.

P03: Diesner, J., Aleyasen, A., Kim, J., Mishra, S., & Soltani, S. (2013). Using Socio-Semantic Network Analysis for Assessing the Impact of Documentaries. WIN (Workshop on Information in Networks) 2013. New York, NY.

P02: Diesner J, Aleyasen A, Kim J, Mishra S, Soltani K, Wilner S (2013). Impact Assessment and ConText. Dissection: Impact. Oakland, CA.

P01: Kim, J., & Diesner, J. (2013). Structural Balance in Story Structures. Presentation at the International Network for Social Network Analysis. Hamburg, Germany.