Mark Shtern

862 citations
59 papers · 637 indexed · h-index 16

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Cloud Computing and Resource Management

Papers in

Mark Shtern

58 papers receiving 601 citations

Peers

Mark Shtern
Comparison fields: 5 of 64
  • Software 67
  • Information Systems 369
  • Computer Networks and Communications 354
  • Urban Studies 54
  • Signal Processing 72
Replace Fernando Díez with:
Fernando Díez Spain
Charles Lim Indonesia
Nur Haryani Zakaria Malaysia
Frederico Araújo Dur�ão Brazil
Deniz Kılınç Türkiye
Daniel Feitosa Netherlands
Leszek A. Maciaszek Poland
Birgit Pröll Austria
Roberto de Pinho Brazil
Antonis Bikakis Greece
Mark Shtern relative to Fernando Díez Spain Fernando Díez's profile →
Citations per field
00.5×6.7×
Fernando Díez · 1×
Citations per year

Countries citing papers authored by Mark Shtern

Since Specialization
Citations

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

Fields of papers citing papers by Mark Shtern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mark Shtern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Shtern Line = papers co-authored together Mark Shtern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 201538
3 201438
4 201831
5
Partitioning applications for hybrid and federated clouds
201230
6 200521
7 201220
8 201619
9 201519
10 201619
11 201319
12 201218
13 201217
14 201516
15 200915
16 201615
17 201814
18 200714
19 201413
20 201013

About Mark Shtern

Mark Shtern is a scholar working on Computer Networks and Communications, Information Systems, Software, Urban Studies and General Energy, having authored 59 papers that have together received 637 indexed citations. Recurring topics across this work include Software System Performance and Reliability (27 papers), Cloud Computing and Resource Management (20 papers), Software Engineering Research (12 papers), Advanced Software Engineering Methodologies (11 papers), Network Security and Intrusion Detection (9 papers), Urban Planning and Governance (7 papers), Software Reliability and Analysis Research (6 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Software (67 citations), Information Systems (369 citations), Computer Networks and Communications (354 citations), Urban Studies (54 citations) and Signal Processing (72 citations). Mark Shtern has collaborated with scholars based in Canada, Israel and United Kingdom. Frequent co-authors include Vassilios Tzerpos, Marin Litoiu, Michael Smit, Cornel Barna, Bradley Simmons, Hamoun Ghanbari, Haim Yacobi, Vasileios Theodorou, Marios Fokaefs and Hamzeh Khazaei. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, Cities, Geopolitics, Urban Studies and Territory Politics Governance.

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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