Leonard Lausen

992 total citations
5 papers, 127 citations indexed

About

Leonard Lausen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Leonard Lausen has authored 5 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Social Psychology. Recurrent topics in Leonard Lausen's work include Big Data and Business Intelligence (1 paper), Software Engineering Research (1 paper) and Software System Performance and Reliability (1 paper). Leonard Lausen is often cited by papers focused on Big Data and Business Intelligence (1 paper), Software Engineering Research (1 paper) and Software System Performance and Reliability (1 paper). Leonard Lausen collaborates with scholars based in United States, Germany and Australia. Leonard Lausen's co-authors include Sheng Zha, Zhang Zhi, Yi Zhu, Jian Guo, Chenguang Wang, Haibin Lin, Mu Li, Junyuan Xie, Hang Zhang and Tong He and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Leonard Lausen

4 papers receiving 122 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard Lausen United States	3	61	50	11	9	8	5	127
Sheng Zha United States	5	167 2.7×	91 1.8×	11 1.0×	11 1.2×	10 1.3×	9	251
Xin Wei China	8	75 1.2×	89 1.8×	7 0.6×	9 1.0×	4 0.5×	39	222
Teng Xi China	9	71 1.2×	81 1.6×	11 1.0×	28 3.1×	16 2.0×	22	185
Tianyi Liang China	7	52 0.9×	64 1.3×	6 0.5×	6 0.7×	4 0.5×	16	106
Ricardo Sousa Portugal	8	109 1.8×	50 1.0×	4 0.4×	6 0.7×	4 0.5×	23	191
Gajula Ramesh India	6	41 0.7×	35 0.7×	5 0.5×	19 2.1×	12 1.5×	39	141
Vinh-Tiep Nguyen Vietnam	10	86 1.4×	156 3.1×	15 1.4×	16 1.8×	22 2.8×	57	246
Fei Du China	8	56 0.9×	151 3.0×	13 1.2×	17 1.9×	9 1.1×	18	251
Hyeon-Woo Kang South Korea	3	65 1.1×	74 1.5×	6 0.5×	4 0.4×	8 1.0×	5	210
Jiayu Wang China	10	57 0.9×	79 1.6×	9 0.8×	11 1.2×	29 3.6×	28	224

Countries citing papers authored by Leonard Lausen

Since Specialization

Citations

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

Fields of papers citing papers by Leonard Lausen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Lausen

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

All Works

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5 of 5 papers shown

1.

Pei, Hengzhi, et al.. (2025). Understanding Silent Data Corruption in LLM Training. 20372–20394.

2.

Pei, Hengzhi, et al.. (2023). Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5230–5238. 3 indexed citations

3.

Padmakumar, Vishakh, Leonard Lausen, Miguel Ballesteros, et al.. (2022). Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2542–2550. 14 indexed citations

4.

Guo, Jian, He He, Tong He, et al.. (2020). GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. arXiv (Cornell University). 21(23). 1–7. 109 indexed citations

5.

Lausen, Leonard, Markus Rittenbruch, Peta Mitchell, Ella Horton, & Marcus Foth. (2016). CrowdRisk. QUT ePrints (Queensland University of Technology). 165–169. 1 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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