Chaki Ng

483 total citations
10 papers, 324 citations indexed

About

Chaki Ng is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Chaki Ng has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 5 papers in Management Science and Operations Research and 3 papers in Information Systems. Recurrent topics in Chaki Ng's work include Auction Theory and Applications (5 papers), Game Theory and Applications (3 papers) and Peer-to-Peer Network Technologies (2 papers). Chaki Ng is often cited by papers focused on Auction Theory and Applications (5 papers), Game Theory and Applications (3 papers) and Peer-to-Peer Network Technologies (2 papers). Chaki Ng collaborates with scholars based in United States. Chaki Ng's co-authors include David C. Parkes, Brent Chun, Alex C. Snoeren, Amin Vahdat, Margo Seltzer, Alvin AuYoung, David A. Holland, Jonathan Ledlie, Jeffrey Shneidman and Philip Buonadonna 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

Chaki Ng

10 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaki Ng United States	7	260	104	80	33	31	10	324
Y.N. Doganata United States	8	135 0.5×	85 0.8×	45 0.6×	62 1.9×	24 0.8×	25	271
Lipyeow Lim United States	12	216 0.8×	121 1.2×	64 0.8×	221 6.7×	23 0.7×	32	361
Mark Parsons United Kingdom	9	102 0.4×	62 0.6×	14 0.2×	30 0.9×	28 0.9×	25	230
Adam Sah United States	6	330 1.3×	145 1.4×	52 0.7×	70 2.1×	9 0.3×	12	398
Mache Creeger United States	6	130 0.5×	154 1.5×	14 0.2×	34 1.0×	15 0.5×	18	251
S. H. Pakzad United States	5	257 1.0×	132 1.3×	45 0.6×	203 6.2×	5 0.2×	20	370
Jeff McAffer United States	6	104 0.4×	113 1.1×	17 0.2×	95 2.9×	10 0.3×	14	246
Alexander Lenk Germany	6	270 1.0×	334 3.2×	26 0.3×	75 2.3×	14 0.5×	16	412
Jens Nimis Germany	7	235 0.9×	272 2.6×	27 0.3×	71 2.2×	11 0.4×	17	395
Edward Walker United States	6	315 1.2×	311 3.0×	18 0.2×	15 0.5×	22 0.7×	7	402

Countries citing papers authored by Chaki Ng

Since Specialization

Citations

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

Fields of papers citing papers by Chaki Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaki Ng

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

All Works

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10 of 10 papers shown

1.

Havasi, Catherine, Richard Borovoy, Henry Holtzman, et al.. (2011). The Glass Infrastructure: Using Common Sense to Create a Dynamic, Place-Based Social Information System. Proceedings of the AAAI Conference on Artificial Intelligence. 25(2). 1589–1596. 2 indexed citations

2.

Parkes, David C., Margo Seltzer, & Chaki Ng. (2011). Online mechanism and virtual currency design for distributed systems. 1 indexed citations

3.

Chun, Brent, Philip Buonadonna, & Chaki Ng. (2005). Computational risk management for building highly reliable network services. 5–5. 5 indexed citations

4.

Ng, Chaki, Philip Buonadonna, Brent Chun, Alex C. Snoeren, & Amin Vahdat. (2005). Addressing strategic behavior in a deployed microeconomic resource allocator. 99–99. 28 indexed citations

5.

Shneidman, Jeffrey, Chaki Ng, David C. Parkes, et al.. (2005). Why markets could (but don't currently) solve resource allocation problems in systems. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 7–7. 53 indexed citations

6.

Chun, Brent, Alvin AuYoung, Chaki Ng, et al.. (2005). Mirage: A Microeconomic Resource Allocation System for Sensornet Testbeds. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 19–28. 111 indexed citations

7.

Ledlie, Jonathan, Chaki Ng, & David A. Holland. (2005). Provenance-Aware Sensor Data Storage. 1189–1189. 39 indexed citations

8.

Ng, Chaki, David C. Parkes, & Margo Seltzer. (2003). Virtual worlds. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 238–239. 31 indexed citations

9.

Ng, Chaki, David C. Parkes, & Margo Seltzer. (2003). Strategyproof Computing: Systems Infrastructures for Self-Interested Parties. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 30 indexed citations

10.

Mitzenmacher, Michael, et al.. (2003). Concatenated codes for deletion channels. 24 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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