Binh Vo

775 total citations
14 papers, 442 citations indexed

About

Binh Vo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Binh Vo has authored 14 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Binh Vo's work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Binh Vo is often cited by papers focused on Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Binh Vo collaborates with scholars based in United States and Canada. Binh Vo's co-authors include Tal Malkin, Steven M. Bellovin, Vladimir Kolesnikov, Roussi Roussev, Chad Verbowski, Yimin Wang, Doug Beck, Mariana Raykova, Vasilis Pappas and Seung Geol Choi and has published in prestigious journals such as Theoretical Computer Science, IEEE Security & Privacy and Very Large Data Bases.

In The Last Decade

Binh Vo

13 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binh Vo United States	10	337	186	169	94	79	14	442
Joachim Posegga Germany	8	306 0.9×	88 0.5×	179 1.1×	91 1.0×	111 1.4×	38	419
Terrance Swift United States	14	619 1.8×	170 0.9×	98 0.6×	68 0.7×	200 2.5×	37	687
Yaron Sella Israel	3	424 1.3×	83 0.4×	133 0.8×	26 0.3×	109 1.4×	3	476
Gerd G. Hillebrand United States	7	374 1.1×	394 2.1×	120 0.7×	238 2.5×	70 0.9×	12	506
Ravi Ramamurthy United States	13	244 0.7×	253 1.4×	261 1.5×	74 0.8×	19 0.2×	25	430
Ricardo Corin Netherlands	14	277 0.8×	270 1.5×	250 1.5×	34 0.4×	73 0.9×	30	434
Arnon Rungsawang Thailand	11	201 0.6×	136 0.7×	266 1.6×	120 1.3×	14 0.2×	47	379
Stéphanie Delaune France	14	467 1.4×	367 2.0×	338 2.0×	32 0.3×	75 0.9×	48	602
Antoine Delignat-Lavaud United Kingdom	12	288 0.9×	178 1.0×	200 1.2×	120 1.3×	27 0.3×	18	406
Michele Boreale Italy	13	390 1.2×	195 1.0×	138 0.8×	31 0.3×	230 2.9×	43	470

Countries citing papers authored by Binh Vo

Since Specialization

Citations

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

Fields of papers citing papers by Binh Vo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binh Vo

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

14 of 14 papers shown

1.

Vo, Binh. (2015). Private, Distributed, and Scalable Content Providers. Columbia Academic Commons (Columbia University). 1 indexed citations

2.

Fisch, Ben, Binh Vo, Abishek Kumarasubramanian, et al.. (2015). Malicious-Client Security in Blind Seer: A Scalable Private DBMS. 395–410. 40 indexed citations

3.

Pappas, Vasilis, Binh Vo, Vladimir Kolesnikov, et al.. (2014). Blind Seer: A Scalable Private DBMS. 359–374. 128 indexed citations

4.

Pappas, Vasilis, Mariana Raykova, Binh Vo, Steven M. Bellovin, & Tal Malkin. (2011). Private search in the real world. 83–92. 11 indexed citations

5.

Raykova, Mariana, Ang Cui, Binh Vo, et al.. (2011). Usable, Secure, Private Search. IEEE Security & Privacy. 10(5). 53–60. 14 indexed citations

6.

Raykova, Mariana, Binh Vo, Steven M. Bellovin, & Tal Malkin. (2009). Secure anonymous database search. Columbia Academic Commons (Columbia University). 115–126. 53 indexed citations

7.

Androulaki, Elli, Binh Vo, & Steven M. Bellovin. (2009). Cybersecurity through an Identity Management System. Columbia Academic Commons (Columbia University). 2 indexed citations

8.

Vo, Binh & Gurmeet Singh Manku. (2007). RadixZip: linear time compression of token streams. Very Large Data Bases. 1162–1172. 6 indexed citations

9.

Vo, Binh & Kiem-Phong Vo. (2007). Compressing table data with column dependency. Theoretical Computer Science. 387(3). 273–283. 11 indexed citations

10.

Smith, Alan Jay, et al.. (2006). WhoPay: A Scalable and Anonymous Payment System for Peer-to-Peer Environments. 13–13. 39 indexed citations

11.

Wang, Yimin, Doug Beck, Binh Vo, Roussi Roussev, & Chad Verbowski. (2005). Detecting Stealth Software with Strider GhostBuster. 368–377. 86 indexed citations

12.

Wang, Yi‐Min, Binh Vo, Roussi Roussev, Chad Verbowski, & Aaron Johnson. (2004). Strider GhostBuster: Why It’s A Bad Idea For Stealth Software To Hide Files. 15. 6 indexed citations

13.

Vo, Binh & K.-P. Vo. (2004). Using column dependency to compress tables. 3. 92–101. 12 indexed citations

14.

Thies, William, et al.. (2002). Searching the World Wide Web in Low-Connectivity Communities. 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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