Dawn Song

966 total citations
8 papers, 394 citations indexed

About

Dawn Song is a scholar working on Artificial Intelligence, Safety Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Dawn Song has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Safety Research and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Dawn Song's work include Cryptography and Data Security (3 papers), Risk and Safety Analysis (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Dawn Song is often cited by papers focused on Cryptography and Data Security (3 papers), Risk and Safety Analysis (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Dawn Song collaborates with scholars based in United States and Bangladesh. Dawn Song's co-authors include Elaine Shi, John Bethencourt, Adrian Perrig, T-H. Hubert Chan, Warren He, Devdatta Akhawe, David Wetherall, Tadayoshi Kohno, Jaeyeon Jung and Ya Tu and has published in prestigious journals such as Figshare and UC Berkeley.

In The Last Decade

Dawn Song

6 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawn Song United States	4	362	145	90	60	53	8	394
Ariel Nof Israel	9	408 1.1×	129 0.9×	118 1.3×	38 0.6×	63 1.2×	13	448
Jack Doerner United States	7	341 0.9×	122 0.8×	62 0.7×	25 0.4×	63 1.2×	9	377
Kazuma Ohara Japan	8	332 0.9×	78 0.5×	107 1.2×	41 0.7×	43 0.8×	17	367
Ik Rae Jeong South Korea	10	274 0.8×	160 1.1×	82 0.9×	69 1.1×	93 1.8×	48	339
Brice Minaud United Kingdom	6	463 1.3×	138 1.0×	121 1.3×	124 2.1×	88 1.7×	8	488
Niv Gilboa Israel	9	461 1.3×	138 1.0×	130 1.4×	44 0.7×	72 1.4×	32	500
Hua Ma China	9	319 0.9×	197 1.4×	84 0.9×	49 0.8×	78 1.5×	25	363
Joël Alwen United States	7	291 0.8×	123 0.8×	123 1.4×	49 0.8×	57 1.1×	11	322
Malika Izabachène France	2	394 1.1×	128 0.9×	107 1.2×	57 0.9×	54 1.0×	4	434
Sha Ma China	10	463 1.3×	240 1.7×	144 1.6×	48 0.8×	73 1.4×	28	511

Countries citing papers authored by Dawn Song

Since Specialization

Citations

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

Fields of papers citing papers by Dawn Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Song. A scholar is included among the top collaborators of Dawn Song 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 Dawn Song. Dawn Song 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:

8 of 8 papers shown

1.

Yu, Yang, et al.. (2024). AI Risk Categorization Decoded (AIR 2024). 1(1). 2 indexed citations

2.

Zeng, Yi, Yang Yu, John Tan, et al.. (2024). AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. 1(1). 2 indexed citations

3.

Zeng, Yi, Yang Yu, John Tan, et al.. (2024). AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. 1(1).

4.

Yu, Yang, et al.. (2024). AI Risk Categorization Decoded (AIR 2024). 1(1).

5.

He, Warren, et al.. (2014). ShadowCrypt. 1028–1039. 51 indexed citations

6.

Jung, Jaeyeon, et al.. (2009). Privacy Scope: A Precise Information Flow Tracking System For Finding Application Leaks. UC Berkeley. 18 indexed citations

7.

Shi, Elaine, John Bethencourt, T-H. Hubert Chan, Dawn Song, & Adrian Perrig. (2007). Multi-Dimensional Range Query over Encrypted Data. Figshare. 350–364. 305 indexed citations

8.

Bethencourt, John, et al.. (2006). Anonymous Multi-Attribute Encryption with Range Query and Conditional Decryption∗. 16 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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