Marcus Fontoura

3.2k total citations · 2 hit papers
53 papers, 1.9k citations indexed

About

Marcus Fontoura is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Marcus Fontoura has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Information Systems, 26 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Marcus Fontoura's work include Advanced Database Systems and Queries (15 papers), Web Data Mining and Analysis (14 papers) and Data Management and Algorithms (12 papers). Marcus Fontoura is often cited by papers focused on Advanced Database Systems and Queries (15 papers), Web Data Mining and Analysis (14 papers) and Data Management and Algorithms (12 papers). Marcus Fontoura collaborates with scholars based in United States, Brazil and United Kingdom. Marcus Fontoura's co-authors include Vanja Josifovski, Ricardo Bianchini, Andrei Broder, Mark Russinovich, Alexandre Muzio, Eli Cortez, Lance Riedel, Evgeniy Gabrilovich, Ziv Bar-Yossef and Amruta Joshi and has published in prestigious journals such as Communications of the ACM, Proceedings of the VLDB Endowment and Journal of Computer and System Sciences.

In The Last Decade

Marcus Fontoura

52 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Resource Central

2017 402 citations Eli Cortez, Alexandre Muzio et al. profile →
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms

2023 140 citations Huaicheng Li, Daniel S. Berger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcus Fontoura United States	23	1.1k	1.0k	748	377	179	53	1.9k
Gianpaolo Cugola Italy	28	915 0.9×	1.9k 1.9×	691 0.9×	449 1.2×	75 0.4×	71	2.6k
Nahid Shahmehri Sweden	22	765 0.7×	575 0.6×	417 0.6×	366 1.0×	81 0.5×	123	1.6k
Shinichi Honiden Japan	22	914 0.9×	812 0.8×	683 0.9×	98 0.3×	71 0.4×	211	1.7k
Justin J. Levandoski United States	22	836 0.8×	1.2k 1.2×	270 0.4×	475 1.3×	388 2.2×	49	1.8k
Johan Pouwelse Netherlands	22	688 0.6×	1.4k 1.4×	390 0.5×	146 0.4×	293 1.6×	125	2.1k
Alejandro Buchmann Germany	28	892 0.8×	2.1k 2.0×	717 1.0×	373 1.0×	177 1.0×	166	2.6k
Jiun‐Long Huang Taiwan	20	615 0.6×	727 0.7×	426 0.6×	186 0.5×	26 0.1×	96	1.3k
Sebastian Schelter Netherlands	18	539 0.5×	408 0.4×	653 0.9×	179 0.5×	61 0.3×	68	1.4k
Daniel Jackson United States	21	1.2k 1.1×	516 0.5×	1.3k 1.8×	196 0.5×	149 0.8×	81	2.3k
Adam Bates United States	25	877 0.8×	1.1k 1.1×	744 1.0×	933 2.5×	60 0.3×	64	1.9k

Countries citing papers authored by Marcus Fontoura

Since Specialization

Citations

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

Fields of papers citing papers by Marcus Fontoura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Fontoura

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

20 of 20 papers shown

1.

Li, Huaicheng, Daniel S. Berger, Stanko Novaković, et al.. (2023). Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. 574–587. 140 indexed citations breakdown →

2.

Choukse, Esha, Íñigo Goiri, Ashish Raniwala, et al.. (2022). Overclocking in Immersion-Cooled Datacenters. IEEE Micro. 42(4). 10–17. 9 indexed citations

3.

Ramakrishnan, Bharath, Husam A. Alissa, Ricardo Bianchini, et al.. (2021). CPU Overclocking: A Performance Assessment of Air, Cold Plates, and Two-Phase Immersion Cooling. IEEE Transactions on Components Packaging and Manufacturing Technology. 11(10). 1703–1715. 46 indexed citations

4.

Goiri, Íñigo, Ke Wang, Brian P. Dolan, et al.. (2020). Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. 735–751. 16 indexed citations

5.

Bianchini, Ricardo, Marcus Fontoura, Eli Cortez, et al.. (2020). Toward ML-centric cloud platforms. Communications of the ACM. 63(2). 50–59. 46 indexed citations

6.

Zhang, Yunqi, et al.. (2016). History-based harvesting of spare cycles and storage in large-scale datacenters. Operating Systems Design and Implementation. 755–770. 48 indexed citations

7.

Shraer, Alexander, Maxim Gurevich, Marcus Fontoura, & Vanja Josifovski. (2013). Top-k publish-subscribe for social annotation of news. Proceedings of the VLDB Endowment. 6(6). 385–396. 27 indexed citations

8.

Broder, Andrei, et al.. (2008). Search advertising using web relevance feedback. 1013–1022. 64 indexed citations

9.

Broder, Andrei, Massimiliano Ciaramita, Marcus Fontoura, et al.. (2008). To swing or not to swing. 1003–1012. 34 indexed citations

10.

Broder, Andrei, Marcus Fontoura, Vanja Josifovski, & Lance Riedel. (2007). A semantic approach to contextual advertising. 559–566. 202 indexed citations

11.

Bar-Yossef, Ziv, Marcus Fontoura, & Vanja Josifovski. (2006). On the memory requirements of XPath evaluation over XML streams. Journal of Computer and System Sciences. 73(3). 391–441. 20 indexed citations

12.

Fontoura, Marcus, et al.. (2006). Framework Evolution Tool.. The Journal of Object Technology. 5(8). 101–101. 2 indexed citations

13.

Fontoura, Marcus, Vanja Josifovski, Eugene J. Shekita, & Beverly Yang. (2005). Optimizing cursor movement in holistic twig joins. 784–791. 24 indexed citations

14.

Bar-Yossef, Ziv, Marcus Fontoura, & Vanja Josifovski. (2004). On the memory requirements of XPath evaluation over XML streams. 177–188. 34 indexed citations

15.

Charles, Philippe, et al.. (2004). Streaming XPath processing with forward and backward axes. 455–466. 60 indexed citations

16.

Fontoura, Marcus, et al.. (2003). TSpaces Services Suite: Automating the Development and Management of Web Services.. 8 indexed citations

17.

Fontoura, Marcus, et al.. (2002). Law-governed peer-to-peer auctions. 109–116. 6 indexed citations

18.

Fontoura, Marcus, et al.. (2000). Using domain specific languages to instantiate object-oriented frameworks. IEE Proceedings - Software. 147(4). 109–109. 9 indexed citations

19.

Fontoura, Marcus, et al.. (2000). An Architecture for the Evolution of Web Applications.

20.

Fontoura, Marcus & Carlos Lucena. (2000). Extending UML to Improve the Representation of Design Patterns. 21 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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