Ignavier Ng

403 total citations
4 papers, 27 citations indexed

About

Ignavier Ng is a scholar working on Artificial Intelligence, Signal Processing and Epidemiology. According to data from OpenAlex, Ignavier Ng has authored 4 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Signal Processing and 1 paper in Epidemiology. Recurrent topics in Ignavier Ng's work include Bayesian Modeling and Causal Inference (2 papers), Advanced Graph Neural Networks (2 papers) and Machine Learning and Algorithms (1 paper). Ignavier Ng is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Advanced Graph Neural Networks (2 papers) and Machine Learning and Algorithms (1 paper). Ignavier Ng collaborates with scholars based in China and United States. Ignavier Ng's co-authors include Shengyu Zhu, Zhitang Chen, Teng Fei, Shan Ye, Song Gao, Yuhao Kang, Fan Zhang, Jinmeng Rao, Kun Zhang and Yujia Zheng and has published in prestigious journals such as International Journal of Geographical Information Systems, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Ignavier Ng

3 papers receiving 27 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignavier Ng China	3	11	6	5	3	3	4	27
Maya John Saudi Arabia	3	11 1.0×	5 0.8×	4 0.8×		1 0.3×	11	48
Riham Mansour Egypt	3	9 0.8×	4 0.7×			3 1.0×	5	15
Yunfan Gao China	3	7 0.6×	4 0.7×	1 0.2×		3 1.0×	5	26
Theo Damoulas United Kingdom	4	6 0.5×	7 1.2×	16 3.2×	1 0.3×	2 0.7×	4	56
Chris Sharpe United States	4	9 0.8×	2 0.3×	6 1.2×			9	34
L. F. Chaparro Sierra Colombia	3	9 0.8×	4 0.7×	1 0.2×		2 0.7×	8	18
R. Bhaskaran India	3	14 1.3×	7 1.2×			7 2.3×	8	40
Rahib Imamguluyev Azerbaijan	4	9 0.8×	2 0.3×	1 0.2×	1 0.3×	4 1.3×	14	40
Hidetaka Taniguchi Japan	3	19 1.7×		2 0.4×	2 0.7×	2 0.7×	5	46
Michael Laskin Russia	4	10 0.9×	1 0.2×	8 1.6×			29	43

Countries citing papers authored by Ignavier Ng

Since Specialization

Citations

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

Fields of papers citing papers by Ignavier Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignavier Ng

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

All Works

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4 of 4 papers shown

1.

Kang, Yuhao, Song Gao, Ignavier Ng, et al.. (2022). STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. International Journal of Geographical Information Systems. 36(8). 1518–1549. 15 indexed citations

2.

Ng, Ignavier, et al.. (2022). On the Identifiability of Nonlinear ICA: Sparsity and Beyond. 16411–16422.

3.

Zhu, Shengyu, Ignavier Ng, & Zhitang Chen. (2020). Causal Discovery with Reinforcement Learning. arXiv (Cornell University). 9 indexed citations

4.

Ng, Ignavier, et al.. (2020). On the Role of Sparsity and DAG Constraints for Learning Linear DAGs. Neural Information Processing Systems. 33. 17943–17954. 3 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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