Małgorzata Steinder

2.8k citations
52 papers · 1.6k indexed · h-index 22
Topics
Cloud Computing and Resource Management (36 papers)Distributed and Parallel Computing Systems (17 papers)Software System Performance and Reliability (15 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Małgorzata Steinder

51 papers receiving 1.5k citations

Peers

Małgorzata Steinder
Comparison fields: 5 of 47
  • Computer Networks and Communications 1.5k
  • Information Systems 1.3k
  • Artificial Intelligence 219
  • Hardware and Architecture 113
  • Computer Vision and Pattern Recognition 81
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Citations per field
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Citations per year

Countries citing papers authored by Małgorzata Steinder

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Steinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Steinder

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 25
3 17
4 1
5 1
6 1
7 7
8 1
9 21
10 119
11
See spot run: using spot instances for mapreduce workflows
127
12 5
13 28
14 36
15 231
16 139
17 46
18
FAULT LOCALIZATION AND SELF-HEALING MECHANISMS FOR FCS NETWORKS 1
6
19 13
20
The present and future of event correlation: A need for end-to-end service fault localization
28

About Małgorzata Steinder

Małgorzata Steinder is a scholar working on Computer Networks and Communications, Software and Information Systems, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (36 papers), Distributed and Parallel Computing Systems (17 papers) and Software System Performance and Reliability (15 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Information Systems (1.3k citations) and Software (66 citations). Małgorzata Steinder has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Adarshpal S. Sethi, Ian Whalley, M. Spreitzer, G. Pacifici, David Carrera, Asser Tantawi, Chunqiang Tang, Jordà Polo, Yolanda Becerra and David M. Chess. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and Computer Networks.

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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