Nathan Self

627 total citations
24 papers, 177 citations indexed

About

Nathan Self is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Self has authored 24 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Self's work include Complex Network Analysis Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Data Visualization and Analytics (4 papers). Nathan Self is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Data Visualization and Analytics (4 papers). Nathan Self collaborates with scholars based in United States, United Kingdom and Ecuador. Nathan Self's co-authors include Naren Ramakrishnan, Chang‐Tien Lu, P. J. Butler, Parang Saraf, Fang Jin, Wei Wang, Zhiqian Chen, Rupinder Paul Khandpur, Sathappan Muthiah and Kaiqun Fu and has published in prestigious journals such as PLoS ONE, ACM Transactions on Intelligent Systems and Technology and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Nathan Self

22 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Self United States	9	63	37	36	25	22	24	177
Hanwen Li China	8	65 1.0×	80 2.2×	30 0.8×	8 0.3×	16 0.7×	13	286
Marco Fisichella Germany	11	179 2.8×	15 0.4×	35 1.0×	42 1.7×	54 2.5×	44	313
Masoud Makrehchi Canada	11	182 2.9×	45 1.2×	46 1.3×	54 2.2×	82 3.7×	56	357
Yuehan Wang China	7	150 2.4×	12 0.3×	37 1.0×	20 0.8×	43 2.0×	23	267
Alon Altman Israel	8	140 2.2×	27 0.7×	77 2.1×	23 0.9×	33 1.5×	18	259
K. Nirmala Devi India	6	135 2.1×	5 0.1×	41 1.1×	22 0.9×	57 2.6×	50	254
Patrice Caire Luxembourg	9	118 1.9×	18 0.5×	43 1.2×	48 1.9×	40 1.8×	29	205
Thushari Silva Sri Lanka	10	141 2.2×	23 0.6×	24 0.7×	55 2.2×	165 7.5×	34	329
Calvin S. H. Hoi Canada	8	111 1.8×	11 0.3×	23 0.6×	9 0.4×	55 2.5×	9	214

Countries citing papers authored by Nathan Self

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Self

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Self

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

All Works

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20 of 20 papers shown

Self, Nathan, et al.. (2025). Combating trade in illegal wood and forest products with machine learning. PLoS ONE. 20(1). e0311982–e0311982.

Self, Nathan, et al.. (2024). Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–23.

Fu, Kaiqun, et al.. (2021). A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. 2021 IEEE International Conference on Big Data (Big Data). 12. 1619–1624. 1 indexed citations

Self, Nathan, et al.. (2021). Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7953–7960. 2 indexed citations

Hu, Zhihao, Yihui Ren, Xinwei Deng, et al.. (2020). Data analysis and modeling pipelines for controlled networked social science experiments. PLoS ONE. 15(11). e0242453–e0242453. 2 indexed citations

Hu, Zhihao, Yihui Ren, Xinwei Deng, et al.. (2020). Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Social Network Analysis and Mining. 10(1). 13 indexed citations

Biswas, Subhodip, Sathappan Muthiah, Zhiqian Chen, et al.. (2020). Geospatial Clustering for Balanced and Proximal Schools. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13358–13365. 11 indexed citations

Self, Nathan, et al.. (2020). Detecting Suspicious Timber Trades. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13248–13254. 5 indexed citations

Hu, Zhihao, Xinwei Deng, Brian J. Goode, et al.. (2019). On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. 39. 169–180. 3 indexed citations

10.

Biswas, Subhodip, et al.. (2019). REGAL. 544–547. 7 indexed citations

11.

Chen, Zhiqian, et al.. (2019). Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. 2621–2627. 8 indexed citations

12.

Zhang, Xuchao, et al.. (2019). Feature driven learning framework for cybersecurity event detection. 196–203. 3 indexed citations

13.

Self, Nathan, et al.. (2018). Bringing interactive visual analytics to the classroom for developing EDA skills. Journal of computing sciences in colleges. 33(3). 115–125. 4 indexed citations

14.

Fu, Kaiqun, et al.. (2018). Multi-Task Learning for Transit Service Disruption Detection. 634–641. 8 indexed citations

15.

Muralidhar, Nikhil, Chen Wang, Nathan Self, et al.. (2018). illiad. ACM Transactions on Intelligent Systems and Technology. 9(3). 1–20. 13 indexed citations

16.

Ren, Yihui, Saliya Ekanayake, Brian J. Goode, et al.. (2018). PIPELINES AND THEIR COMPOSITIONS FOR MODELING AND ANALYSIS OF CONTROLLED ONLINE NETWORKED SOCIAL SCIENCE EXPERIMENTS. 2018 Winter Simulation Conference (WSC). 774–785. 3 indexed citations

17.

Muthiah, Sathappan, P. J. Butler, Rupinder Paul Khandpur, et al.. (2016). EMBERS at 4 years. 205–214. 17 indexed citations

18.

Katz, Graham, Kristen Summers, Chris Ackermann, et al.. (2014). Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. Big Data. 2(4). 185–195. 19 indexed citations

19.

Jin, Fang, Rupinder Paul Khandpur, Nathan Self, et al.. (2014). Modeling mass protest adoption in social network communities using geometric brownian motion. 13 indexed citations

20.

Jin, Fang, Nathan Self, Parang Saraf, et al.. (2013). Forex-foreteller. 1470–1473. 33 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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