Larisa Shwartz

1.0k total citations
75 papers, 648 citations indexed

About

Larisa Shwartz is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Larisa Shwartz has authored 75 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Information Systems, 46 papers in Computer Networks and Communications and 20 papers in Management Information Systems. Recurrent topics in Larisa Shwartz's work include Software System Performance and Reliability (33 papers), Service-Oriented Architecture and Web Services (24 papers) and Cloud Computing and Resource Management (19 papers). Larisa Shwartz is often cited by papers focused on Software System Performance and Reliability (33 papers), Service-Oriented Architecture and Web Services (24 papers) and Cloud Computing and Resource Management (19 papers). Larisa Shwartz collaborates with scholars based in United States, Italy and India. Larisa Shwartz's co-authors include Genady Ya. Grabarnik, Tao Li, Chunqiu Zeng, Wubai Zhou, Liang Tang, Yixin Diao, Liang Tang, Florian Pinel, Heiko Ludwig and Mauro Tortonesi and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Communications Letters and IEEE Transactions on Services Computing.

In The Last Decade

Larisa Shwartz

71 papers receiving 601 citations

Peers

Larisa Shwartz
Comparison fields: 5 of 59
  • Information Systems 458
  • Computer Networks and Communications 346
  • Artificial Intelligence 240
  • Management Information Systems 114
  • Management Science and Operations Research 105
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Greg Lomow Canada
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Citations per field, relative to Larisa Shwartz
Larisa Shwartz · 1×
Citations per year, relative to Larisa Shwartz
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Countries citing papers authored by Larisa Shwartz

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Shwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Shwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Larisa Shwartz. A scholar is included among the top collaborators of Larisa Shwartz 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 Larisa Shwartz. Larisa Shwartz 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
# Work Indexed citations
1 3
2 1
3 1
4 10
5 6
6 2
7 8
8
What-if Scenario Analysis for IT Services in Hybrid Cloud Environments with BDMaaS+
2
9 44
10
Service Placement for Hybrid Clouds Environments based on Realistic Network Measurements
4
11 8
12 21
13 2
14 19
15
Recommending resolutions for problems identified by monitoring
19
16
Quality improvement and quantitative modeling — Using mashups for human error prevention
3
17 5
18 2
19 26
20 20

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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