Dave Maltz

1.4k total citations · 2 hit papers
15 papers, 1.0k citations indexed

About

Dave Maltz is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Dave Maltz has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 7 papers in Information Systems and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Dave Maltz's work include Software-Defined Networks and 5G (8 papers), Cloud Computing and Resource Management (7 papers) and Software System Performance and Reliability (4 papers). Dave Maltz is often cited by papers focused on Software-Defined Networks and 5G (8 papers), Cloud Computing and Resource Management (7 papers) and Software System Performance and Reliability (4 papers). Dave Maltz collaborates with scholars based in United States, China and United Kingdom. Dave Maltz's co-authors include Lihua Yuan, Chuanxiong Guo, Guohan Lu, Jiaxin Cao, Albert Greenberg, Ratul Mahajan, David B. Johnson, Hua Chen, Yingnong Dang and Zhaoyi Liu and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Coronary Artery Disease and Networked Systems Design and Implementation.

In The Last Decade

Dave Maltz

13 papers receiving 1.0k citations

Hit Papers

Pingmesh 2015 2026 2018 2022 2015 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave Maltz United States 10 989 408 209 121 53 15 1.0k
Raajay Viswanathan United States 8 716 0.7× 285 0.7× 159 0.8× 146 1.2× 104 2.0× 9 842
Kirk Webb United States 11 471 0.5× 168 0.4× 147 0.7× 73 0.6× 104 2.0× 24 604
Srinivas Narayana United States 14 885 0.9× 184 0.5× 144 0.7× 227 1.9× 186 3.5× 31 947
Masoud Moshref United States 16 913 0.9× 223 0.5× 215 1.0× 185 1.5× 123 2.3× 26 952
Jinho Hwang United States 16 1.0k 1.0× 581 1.4× 231 1.1× 85 0.7× 115 2.2× 65 1.1k
Srini Seetharaman United Kingdom 11 1.0k 1.1× 497 1.2× 414 2.0× 71 0.6× 51 1.0× 14 1.1k
Ryoichi Kawahara Japan 11 536 0.5× 83 0.2× 124 0.6× 229 1.9× 40 0.8× 107 608
Joshua Reich United States 11 970 1.0× 198 0.5× 243 1.2× 138 1.1× 112 2.1× 18 1.0k
Cristian Ungureanu United States 12 628 0.6× 363 0.9× 95 0.5× 132 1.1× 130 2.5× 27 727

Countries citing papers authored by Dave Maltz

Since Specialization
Citations

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

Fields of papers citing papers by Dave Maltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Maltz

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

All Works

15 of 15 papers shown
1.
Maltz, Dave, et al.. (2016). Meta-Management System for GENI.
2.
Maltz, Dave & Pravin Bhagwat. (2016). Improving HTTP Caching Proxy Performance with TCP Tap.
3.
Zhu, Yibo, Nanxi Kang, Jiaxin Cao, et al.. (2015). Packet-Level Telemetry in Large Datacenter Networks. 479–491. 226 indexed citations breakdown →
4.
Guo, Chuanxiong, Lihua Yuan, Dong Xiang, et al.. (2015). Pingmesh. ACM SIGCOMM Computer Communication Review. 45(4). 139–152. 63 indexed citations
5.
Zhu, Yibo, Nanxi Kang, Jiaxin Cao, et al.. (2015). Packet-Level Telemetry in Large Datacenter Networks. ACM SIGCOMM Computer Communication Review. 45(4). 479–491. 56 indexed citations
6.
Guo, Chuanxiong, Lihua Yuan, Dong Xiang, et al.. (2015). Pingmesh. 139–152. 290 indexed citations breakdown →
7.
Cao, Jiaxin, Rui Xia, Pengkun Yang, et al.. (2013). Per-packet load-balanced, low-latency routing for clos-based data center networks. 49–60. 139 indexed citations
8.
Yu, Minlan, Albert Greenberg, Dave Maltz, et al.. (2011). Profiling network performance for multi-tier data center applications. Networked Systems Design and Implementation. 57–70. 82 indexed citations
9.
Pathak, Abhinav, et al.. (2011). Latency inflation with MPLS-based traffic engineering. 463–472. 37 indexed citations
10.
Greenberg, Albert & Dave Maltz. (2009). What Goes into a Data Center – SIGMETRICS 2009 Tutorial. 6 indexed citations
11.
Benson, Theophilus, Aditya Akella, & Dave Maltz. (2008). A Case for Complexity Models in Network Design and Management. Minds at UW (University of Wisconsin). 1 indexed citations
12.
Maltz, Dave, Yih‐Chun Hu, & David L. Johnson. (2001). Flow State in the Dynamic Source Routing Protocol for Mobile Ad Hoc Networks. 14 indexed citations
13.
Maltz, Dave, et al.. (2001). A Simple Protocol for Multicast and Broadcast in Mobile Ad Hoc Networks. 89 indexed citations
14.
Maltz, Dave, et al.. (2000). Emulation of Multi-Hop Wireless Ad Hoc Networks. Coronary Artery Disease. 32(2). 172–174. 29 indexed citations
15.
Maltz, Dave, et al.. (1999). Emulation of Ad Hoc Networks. 4 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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