Marcio Faerman

850 total citations
12 papers, 564 citations indexed

About

Marcio Faerman is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, Marcio Faerman has authored 12 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 4 papers in Hardware and Architecture. Recurrent topics in Marcio Faerman's work include Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (5 papers) and Scientific Computing and Data Management (5 papers). Marcio Faerman is often cited by papers focused on Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (5 papers) and Scientific Computing and Data Management (5 papers). Marcio Faerman collaborates with scholars based in United States and Brazil. Marcio Faerman's co-authors include Francine Berman, Alan Su, P. J. Maechling, Reagan Moore, K. B. Olsen, Y. Cui, J. B. Minster, Henri Casanova, A. Chourasia and Rich Wolski and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Parallel and Distributed Systems and Journal of Grid Computing.

In The Last Decade

Marcio Faerman

12 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcio Faerman United States 6 355 206 186 172 83 12 564
Shashank Sahu India 8 134 0.4× 12 0.1× 94 0.5× 111 0.6× 7 0.1× 27 329
José C. Cunha Portugal 10 195 0.5× 110 0.5× 92 0.5× 3 0.0× 3 0.0× 58 343
Robert A. Iannucci United States 7 207 0.6× 204 1.0× 15 0.1× 46 0.3× 3 0.0× 14 359
Rosa Filgueira United Kingdom 9 237 0.7× 37 0.2× 172 0.9× 9 0.1× 46 347
Liang Yuan China 8 110 0.3× 105 0.5× 44 0.2× 10 0.1× 1 0.0× 30 225
Catherine Olschanowsky United States 14 251 0.7× 208 1.0× 78 0.4× 5 0.0× 1 0.0× 29 388
Rob Armstrong United States 5 200 0.6× 110 0.5× 61 0.3× 2 0.0× 11 275
Shuang Zhao China 10 179 0.5× 24 0.1× 64 0.3× 26 0.2× 43 312
Massimo Ancona Italy 10 96 0.3× 90 0.4× 91 0.5× 3 0.0× 67 373

Countries citing papers authored by Marcio Faerman

Since Specialization
Citations

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

Fields of papers citing papers by Marcio Faerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcio Faerman

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

All Works

12 of 12 papers shown
1.
Faerman, Marcio, Reagan Moore, Yifeng Cui, et al.. (2007). Managing Large Scale Data for Earthquake Simulations. Journal of Grid Computing. 5(3). 295–302. 6 indexed citations
2.
Olsen, K. B., Steven M. Day, J. B. Minster, et al.. (2006). Strong shaking in Los Angeles expected from southern San Andreas earthquake. Geophysical Research Letters. 33(7). 184 indexed citations
3.
Olsen, K. B., J. B. Minster, Y. Cui, et al.. (2005). TeraShake: Strong Shaking in Los Angeles Expected From Southern San Andreas Earthquake. AGU Fall Meeting Abstracts. 2005. 5 indexed citations
4.
Weinberg, Jonathan, et al.. (2004). Gridflow description, query, and execution at SCEC using the SDSC matrix. 262–263. 6 indexed citations
5.
Casanova, Henri, Francine Berman, Thomas M. Bartol, et al.. (2004). The Virtual Instrument: Support for Grid-Enabled Mcell Simulations. The International Journal of High Performance Computing Applications. 18(1). 3–17. 18 indexed citations
6.
Weinberg, Jonathan, et al.. (2004). Gridflow description, query, and execution at SCEC using the SDSC matrix. 262–263. 2 indexed citations
7.
Berman, Francine, Rich Wolski, Henri Casanova, et al.. (2003). Adaptive computing on the grid using AppLeS. IEEE Transactions on Parallel and Distributed Systems. 14(4). 369–382. 286 indexed citations
8.
Faerman, Marcio, Francine Berman, & Henri Casanova. (2003). Resource allocation for guided parameter search applications on high-performance parallel computing environments. 1 indexed citations
9.
Faerman, Marcio, et al.. (2003). Resource Allocation Strategies for Guided Parameter Space Searches. The International Journal of High Performance Computing Applications. 17(4). 383–402. 2 indexed citations
10.
Albuquerque, Célio, Marcio Faerman, & Otto Carlos M. B. Duarte. (2002). Implementations of traffic control mechanisms for high-speed networks. 177–182. 2 indexed citations
11.
Faerman, Marcio, et al.. (1999). Adaptive performance prediction for distributed data-intensive applications. 36–36. 51 indexed citations
12.
Faerman, Marcio, et al.. (1999). Adaptive Performance Prediction for Distributed Data-Intensive. eScholarship (California Digital Library). 1 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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