Chase Cotton

2.3k total citations · 1 hit paper
44 papers, 1.6k citations indexed

About

Chase Cotton is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chase Cotton has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Chase Cotton's work include Internet Traffic Analysis and Secure E-voting (16 papers), Network Security and Intrusion Detection (13 papers) and Advanced Malware Detection Techniques (10 papers). Chase Cotton is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (16 papers), Network Security and Intrusion Detection (13 papers) and Advanced Malware Detection Techniques (10 papers). Chase Cotton collaborates with scholars based in United States, China and Ghana. Chase Cotton's co-authors include Ishaani Priyadarshini, Baozhong Sun, Tsu−Wei Chou, Wei Zhang, Bohong Gu, Bryan Lyles, Mohammad Nasim Imtiaz Khan, Christophe Diot, Sue Moon and Jinsong Leng and has published in prestigious journals such as IEEE Communications Magazine, Composites Science and Technology and Composites Part B Engineering.

In The Last Decade

Chase Cotton

41 papers receiving 1.6k 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.

Packet-level traffic measurements from the sprint IP backbone

2003 464 citations Sue Moon, Bryan Lyles et al. IEEE Network profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chase Cotton United States	15	637	441	429	396	357	44	1.6k
R. Anitha India	19	545 0.9×	562 1.3×	355 0.8×	323 0.8×	319 0.9×	163	2.1k
Bin Tian China	28	151 0.2×	540 1.2×	203 0.5×	259 0.7×	547 1.5×	143	2.6k
Weiming Wang China	18	223 0.4×	441 1.0×	260 0.6×	119 0.3×	153 0.4×	118	1.6k
Lijun Xiao China	27	190 0.3×	835 1.9×	1.7k 3.9×	195 0.5×	338 0.9×	82	2.3k
Rajendra Singh United States	19	211 0.3×	289 0.7×	116 0.3×	91 0.2×	152 0.4×	125	1.9k
Imad Mahgoub United States	24	1.2k 1.9×	148 0.3×	97 0.2×	175 0.4×	367 1.0×	140	2.2k
Yanbiao Li China	23	373 0.6×	41 0.1×	412 1.0×	134 0.3×	348 1.0×	119	1.5k
Huakun Huang China	20	219 0.3×	52 0.1×	228 0.5×	187 0.5×	167 0.5×	78	1.5k
Sachin Maheshwari India	38	310 0.5×	470 1.1×	3.0k 6.9×	79 0.2×	865 2.4×	132	4.3k
Heng Li China	25	204 0.3×	1.0k 2.3×	174 0.4×	77 0.2×	101 0.3×	210	2.1k

Countries citing papers authored by Chase Cotton

Since Specialization

Citations

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

Fields of papers citing papers by Chase Cotton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chase Cotton

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hao, Shuai, et al.. (2024). Silent Observers Make a Difference: A Large-scale Analysis of Transparent Proxies on the Internet. 1671–1680. 1 indexed citations

2.

Cotton, Chase, et al.. (2022). Efficient Attack Detection in IoT Devices using Feature Engineering-Less Machine Learning. International Journal of Computer Science and Information Technology. 14(6). 47–64. 2 indexed citations

3.

Priyadarshini, Ishaani & Chase Cotton. (2022). Cybersecurity. Apple Academic Press eBooks.

4.

Gao, Xing, et al.. (2022). Time-Print: Authenticating USB Flash Drives with Novel Timing Fingerprints. 1002–1017. 8 indexed citations

5.

Hao, Shuai, et al.. (2022). A Comprehensive, Longitudinal Study of Government DNS Deployment at Global Scale. 193–204. 8 indexed citations

6.

Hao, Shuai, et al.. (2021). DNSonChain: Delegating Privacy-Preserved DNS Resolution to Blockchain. 1–11. 8 indexed citations

7.

Priyadarshini, Ishaani & Chase Cotton. (2021). A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis. The Journal of Supercomputing. 77(12). 13911–13932. 159 indexed citations

8.

Gao, Xing, et al.. (2021). An Exploration of ARM System-Level Cache and GPU Side Channels. Annual Computer Security Applications Conference. 784–795. 14 indexed citations

9.

Cotton, Chase, et al.. (2019). Adversarial Machine Learning for Cyber Security. 12(1). 26. 9 indexed citations

10.

Cotton, Chase, et al.. (2019). Detection of Encrypted Malicious Network Traffic using Machine Learning. 1–6. 36 indexed citations

11.

Hao, Shuai, et al.. (2019). Towards passive analysis of anycast in global routing. ACM SIGCOMM Computer Communication Review. 49(3). 18–25. 11 indexed citations

12.

Liu, Yang, Fenghua Zhang, Jinsong Leng, et al.. (2019). Remotely and Sequentially Controlled Actuation of Electroactivated Carbon Nanotube/Shape Memory Polymer Composites. Advanced Materials Technologies. 4(12). 65 indexed citations

13.

Zhang, Wei, Fenghua Zhang, Xin Lan, et al.. (2018). Shape memory behavior and recovery force of 4D printed textile functional composites. Composites Science and Technology. 160. 224–230. 126 indexed citations

14.

Liu, Yang, Wei Zhang, Fenghua Zhang, et al.. (2018). Shape memory behavior and recovery force of 4D printed laminated Miura-origami structures subjected to compressive loading. Composites Part B Engineering. 153. 233–242. 107 indexed citations

15.

Cotton, Chase, et al.. (2015). A routing based resource registry. 41. 176–180. 1 indexed citations

16.

Anderson, Tom, Ken Birman, Matthew Caesar, et al.. (2014). A brief overview of the NEBULA future internet architecture. ACM SIGCOMM Computer Communication Review. 44(3). 81–86. 19 indexed citations

17.

Birman, Ken, et al.. (2011). Routers for the Cloud: Can the Internet Achieve 5-Nines Availability?. IEEE Internet Computing. 15(5). 72–77. 9 indexed citations

18.

Cotton, Chase, et al.. (2010). W. David Sincoskie, pioneer of packet communications [Society News]. IEEE Communications Magazine. 48(12). 10–10. 1 indexed citations

19.

Moon, Sue, et al.. (2003). Packet-level traffic measurements from the sprint IP backbone. IEEE Network. 17(6). 6–16. 464 indexed citations breakdown →

20.

Spindler, M. W. & Chase Cotton. (1998). Creep-fatigue crack growth in type 316h stainless steel through a zone of tensile residual stress. Materials at High Temperatures. 15(2). 117–121. 2 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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