Joe Mambretti

1.2k total citations
48 papers, 696 citations indexed

About

Joe Mambretti is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Joe Mambretti has authored 48 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 14 papers in Information Systems. Recurrent topics in Joe Mambretti's work include Software-Defined Networks and 5G (17 papers), Caching and Content Delivery (14 papers) and Advanced Optical Network Technologies (13 papers). Joe Mambretti is often cited by papers focused on Software-Defined Networks and 5G (17 papers), Caching and Content Delivery (14 papers) and Advanced Optical Network Technologies (13 papers). Joe Mambretti collaborates with scholars based in United States, Taiwan and Netherlands. Joe Mambretti's co-authors include Jim Chen, Cees de Laat, F. Travostino, Inder Monga, Leon Gommans, Tom DeFanti, Bill St. Arnaud, Yunhong Gu, Robert L. Grossman and Admela Jukan and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Communications Magazine.

In The Last Decade

Joe Mambretti

47 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joe Mambretti United States	14	582	307	185	61	61	48	696
Fabio Panzieri Italy	11	530 0.9×	316 1.0×	107 0.6×	32 0.5×	42 0.7×	43	583
Hiroshi Yamada Japan	12	403 0.7×	211 0.7×	113 0.6×	113 1.9×	37 0.6×	50	467
Steve Muir United States	8	534 0.9×	155 0.5×	47 0.3×	97 1.6×	84 1.4×	16	568
Muhammad Shahbaz United States	13	820 1.4×	165 0.5×	225 1.2×	157 2.6×	139 2.3×	40	885
Paul Ruth United States	12	520 0.9×	369 1.2×	27 0.1×	68 1.1×	69 1.1×	46	588
Fangzhe Chang United States	12	315 0.5×	142 0.5×	65 0.4×	94 1.5×	71 1.2×	19	413
John Tracey United States	12	754 1.3×	340 1.1×	184 1.0×	106 1.7×	118 1.9×	23	812
Noah Treuhaft United States	6	504 0.9×	152 0.5×	76 0.4×	231 3.8×	149 2.4×	7	607
Susan Coghlan United States	16	557 1.0×	348 1.1×	90 0.5×	337 5.5×	72 1.2×	27	661
Wyatt Lloyd United States	14	940 1.6×	472 1.5×	63 0.3×	142 2.3×	79 1.3×	28	993

Countries citing papers authored by Joe Mambretti

Since Specialization

Citations

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

Fields of papers citing papers by Joe Mambretti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Mambretti

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

All Works

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20 of 20 papers shown

Chen, Jim, et al.. (2021). Analysis of NVMe over fabrics with SCinet DTN-as-a-Service. Cluster Computing. 25(4). 2991–3003. 1 indexed citations

Keahey, Kate, et al.. (2019). Chameleon: A Large-Scale, Deeply Reconfigurable Testbed for Computer Science Research. 1–2. 5 indexed citations

Tseng, Chien‐Chao, et al.. (2019). P4MT: Multi-Tenant Support Prototype for International P4 Testbed. 1–2. 7 indexed citations

Chen, Jim, et al.. (2018). Analysis of CPU Pinning and Storage Configuration in 100 Gbps Network Data Transfer. 64–74. 2 indexed citations

Mambretti, Joe, et al.. (2017). Designing and deploying a bioinformatics software-defined network exchange (SDX): Architecture, services, capabilities, and foundation technologies. 14. 135–142. 2 indexed citations

Liu, Te‐Lung, et al.. (2017). Heterogeneous Interconnection between SDN and Layer2 Networks Based on NSI. 472–477.

Mambretti, Joe, et al.. (2016). Next generation virtual network architecture for multi-tenant distributed clouds. 1–6. 2 indexed citations

Mambretti, Joe, et al.. (2014). Software-Defined Network Exchanges (SDXs) and Infrastructure (SDI): Emerging innovations in SDN and SDI interdomain multi-layer services and capabilities. 2. 1–6. 8 indexed citations

Mambretti, Joe, et al.. (2014). Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies. 80. 1–6. 14 indexed citations

10.

Barczyk, A., et al.. (2012). Multipathing with MPTCP and OpenFlow. 1617–1624. 37 indexed citations

11.

Grossman, Robert L., Allison P. Heath, K White, et al.. (2012). The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. 1051–1057. 15 indexed citations

12.

Jukan, Admela & Joe Mambretti. (2012). Evolution of Optical Networking Toward Rich Digital Media Services. Proceedings of the IEEE. 100(4). 855–871. 12 indexed citations

13.

Mambretti, Joe, et al.. (2012). Openflow services for science: an international experimental research network demonstrating multi-domain automatic network topology discovery, direct dynamic path provisioning using edge signaling and control, integration with multipathing using MPTCP. 2434–2440. 7 indexed citations

14.

Mambretti, Joe, et al.. (2011). Creating Future Networks: Designing, Implementing and Operating Advanced Experimental Network Research Testbeds. 25. 992–997. 1 indexed citations

15.

Mambretti, Joe. (2008). OptIPuter: Enabling advanced applications with novel optical control planes and backplanes. Future Generation Computer Systems. 25(2). 137–141. 4 indexed citations

16.

Gu, Yunhong, Robert L. Grossman, & Joe Mambretti. (2007). A peer-to-peer infrastructure for distributing large scientific data sets over wide area high-performance networks: experimental studies using wide area layer 2 services. 8. 1 indexed citations

17.

Battestilli, Lina, Andrei Hutanu, Daniel S. Katz, et al.. (2007). EnLIGHTened Computing: An architecture for co-allocating network, compute, and other grid resources for high-end applications. 5. 1–8. 23 indexed citations

18.

Mambretti, Joe, et al.. (2006). Optical dynamic intelligent network services (ODIN): an experimental control-plane architecture for high-performance distributed environments based on dynamic lightpath provisioning. IEEE Communications Magazine. 44(3). 92–99. 14 indexed citations

19.

Grossman, Robert L., et al.. (2003). A case for the global access to large distributed data sets using data webs employing photonic data services. 62–66. 1 indexed citations

20.

Mambretti, Joe, Jim Chen, Liz Bacon, et al.. (2003). The Photonic TeraStream: enabling next generation applications through intelligent optical networking at iGRID2002. Future Generation Computer Systems. 19(6). 897–908. 20 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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