Nathan Fulton

1.4k total citations · 1 hit paper
8 papers, 721 citations indexed

About

Nathan Fulton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Nathan Fulton has authored 8 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Nathan Fulton's work include Formal Methods in Verification (4 papers), Logic, programming, and type systems (3 papers) and Web Application Security Vulnerabilities (2 papers). Nathan Fulton is often cited by papers focused on Formal Methods in Verification (4 papers), Logic, programming, and type systems (3 papers) and Web Application Security Vulnerabilities (2 papers). Nathan Fulton collaborates with scholars based in United States. Nathan Fulton's co-authors include Chandra M. R. Kintala, Yennun Huang, André Platzer, Xiang Jian, Stephen Chong, Cyrus Omar, Jonathan Aldrich and Ran Ji and has published in prestigious journals such as Digital Access to Scholarship at Harvard (DASH) (Harvard University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Nathan Fulton

7 papers receiving 681 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Software rejuvenation: analysis, module and applications

2002 627 citations Yennun Huang, Chandra M. R. Kintala et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Fulton United States	4	531	269	233	164	86	8	721
Mohamed Kaâniche France	11	405 0.8×	304 1.1×	177 0.8×	169 1.0×	42 0.5×	32	625
Fumio Machida Japan	17	794 1.5×	595 2.2×	197 0.8×	87 0.5×	43 0.5×	72	983
Yao Dai China	11	266 0.5×	151 0.6×	167 0.7×	76 0.5×	109 1.3×	22	498
Elvinia Riccobene Italy	15	324 0.6×	361 1.3×	417 1.8×	448 2.7×	183 2.1×	101	958
Rivalino Matias Brazil	17	766 1.4×	491 1.8×	318 1.4×	101 0.6×	107 1.2×	65	931
Antonio Filieri Germany	18	475 0.9×	442 1.6×	418 1.8×	532 3.2×	96 1.1×	47	943
Arshad Jhumka United Kingdom	17	688 1.3×	210 0.8×	242 1.0×	202 1.2×	114 1.3×	97	924
Huibiao Zhu China	13	287 0.5×	236 0.9×	119 0.5×	298 1.8×	166 1.9×	176	729
S. Garg United States	9	839 1.6×	236 0.9×	277 1.2×	64 0.4×	59 0.7×	13	961
Ludger Fiege Germany	16	644 1.2×	199 0.7×	41 0.2×	165 1.0×	70 0.8×	39	815

Countries citing papers authored by Nathan Fulton

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Fulton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Fulton

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

All Works

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8 of 8 papers shown

1.

Jian, Xiang, Nathan Fulton, & Stephen Chong. (2021). Relational Analysis of Sensor Attacks on Cyber-Physical Systems. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 1–16. 6 indexed citations

2.

Fulton, Nathan & André Platzer. (2018). Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 76 indexed citations

3.

Fulton, Nathan & André Platzer. (2018). Safe AI for CPS (Invited Paper). 1–7. 5 indexed citations

4.

Fulton, Nathan & André Platzer. (2016). A logic of proofs for differential dynamic logic: toward independently checkable proof certificates for dynamic logics. 110–121. 3 indexed citations

5.

Fulton, Nathan, Ran Ji, & André Platzer. (2016). Proving autonomous vehicle and advanced driver assistance systems safety : final research report.. 1 indexed citations

6.

Fulton, Nathan, Cyrus Omar, & Jonathan Aldrich. (2014). Statically typed string sanitation inside a python. 3–10. 3 indexed citations

7.

Fulton, Nathan. (2012). Security through extensible type systems. 107–108.

8.

Huang, Yennun, et al.. (2002). Software rejuvenation: analysis, module and applications. 381–390. 627 indexed citations breakdown →

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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