M. Zvada

13.9k total citations
12 papers, 37 citations indexed

About

M. Zvada is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, M. Zvada has authored 12 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 3 papers in Information Systems. Recurrent topics in M. Zvada's work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (7 papers) and Scientific Computing and Data Management (5 papers). M. Zvada is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (7 papers) and Scientific Computing and Data Management (5 papers). M. Zvada collaborates with scholars based in United States, Germany and Switzerland. M. Zvada's co-authors include Brian Bockelman, Timothy J. Cartwright, Todd Tannenbaum, I. Sfiligoi, Jeremy G. Frey, Frank Wuerthwein, L. Rinaldi, S. Padhi, I. Vukotić and I. González Caballero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Springer Link (Chiba Institute of Technology).

In The Last Decade

M. Zvada

11 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Zvada United States	4	32	13	8	3	2	12	37
K Larson United States	3	26 0.8×	14 1.1×	9 1.1×	3 1.0×		6	26
R. F. Von Cube Germany	4	24 0.8×	12 0.9×	9 1.1×	3 1.0×		12	24
A. Heiss Germany	4	28 0.9×	15 1.2×	11 1.4×	2 0.7×		14	35
Christoph Heidecker Germany	3	22 0.7×	10 0.8×	10 1.3×	3 1.0×		10	22
C. Caramarcu United States	4	18 0.6×	9 0.7×	9 1.1×	6 2.0×		9	22
B. Kónya Sweden	3	29 0.9×	14 1.1×	11 1.4×	6 2.0×		3	33
A Zaytsev United States	4	29 0.9×	17 1.3×	8 1.0×	5 1.7×		17	33
A. Carbone Italy	4	28 0.9×	9 0.7×	10 1.3×	2 0.7×		9	31
Debbie Bard United States	3	19 0.6×	6 0.5×	8 1.0×	2 0.7×		3	22
J. Chudoba Czechia	4	28 0.9×	11 0.8×	3 0.4×	3 1.0×		23	38

Countries citing papers authored by M. Zvada

Since Specialization

Citations

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

Fields of papers citing papers by M. Zvada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zvada

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

12 of 12 papers shown

1.

Rynge, Mats, M. Zvada, P. Paschos, et al.. (2020). Creating a content delivery network for general science on the internet backbone using XCaches. Springer Link (Chiba Institute of Technology). 5 indexed citations

2.

Vale, T. Dias Do, F. Legger, J. Schovancova, et al.. (2020). Operational Intelligence for Distributed Computing Systems for Exascale Science. SHILAP Revista de lepidopterología. 245. 3017–3017. 3 indexed citations

3.

Bockelman, Brian, et al.. (2019). GRACC: GRid ACcounting Collector. SHILAP Revista de lepidopterología. 214. 3032–3032. 1 indexed citations

4.

Kee, S. P. Mc, et al.. (2019). Improving WLCG Networks Through Monitoring and Analytics. SHILAP Revista de lepidopterología. 214. 8006–8006. 2 indexed citations

5.

Bockelman, Brian, et al.. (2015). Commissioning the HTCondor-CE for the Open Science Grid. Journal of Physics Conference Series. 664(6). 62003–62003. 13 indexed citations

6.

Sfiligoi, I., S. Belforte, K Larson, et al.. (2014). CMS experience of running glideinWMS in High Availability mode. Journal of Physics Conference Series. 513(3). 32086–32086. 1 indexed citations

7.

Petzold, Andreas, et al.. (2012). Experiment representation at the WLCG Tier-1 center GridKa. 32–32.

8.

Sfiligoi, I., M. Zvada, B. Holzman, et al.. (2012). The benefits and challenges of sharing glidein factory operations across nine time zones between OSG and CMS. Journal of Physics Conference Series. 396(3). 32103–32103. 1 indexed citations

9.

Grandi, C., Brian Bockelman, Daniele Bonacorsi, et al.. (2011). CMS Distributed Computing Integration in the LHC sustained operations era. Journal of Physics Conference Series. 331(6). 62032–62032. 6 indexed citations

10.

Meyer, J., G. Quast, P. Sauerland, et al.. (2011). The HappyFace Project. Journal of Physics Conference Series. 331(8). 82011–82011. 1 indexed citations

11.

Zvada, M., et al.. (2010). CDF GlideinWMS usage in Grid computing of high energy physics. Journal of Physics Conference Series. 219(6). 62031–62031. 3 indexed citations

12.

Buša, Ján, et al.. (2010). Evaluation Framework for GPU Performance Based on OpenCL Standard. abs 1005 2581. 256–261. 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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