Mark Shtern

863 citations
58 papers · 692 · h-index 16

Impact in

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

Papers in

Mark Shtern

57 papers receiving 657 citations

Peers

Mark Shtern
Comparison fields: 5 of 68
  • Information Systems 391
  • Software 69
  • Computer Networks and Communications 386
  • Urban Studies 56
  • Signal Processing 83
Replace Seyyed Mohsen Hashemi with:
Seyyed Mohsen Hashemi Iran
Frederico Araújo Dur�ão Brazil
Deniz Kılınç Türkiye
Arunima Jaiswal India
Andreas Matheus Germany
Saiqa Aleem United Arab Emirates
Joshua Charles Campbell Canada
Irene Garrigós Spain
Rattapoom Tuchinda United States
Souheil Khaddaj United Kingdom
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Citations per field
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Seyyed Mohsen Hashemi · 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 23 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201442
3 201541
4
Partitioning applications for hybrid and federated clouds
201234
5 201832
6 201323
7 201623
8 201222
9 200521
10 201521
11 201621
12 201220
13 201219
14 201516
15 201616
16 200915
17 201814
18 200714
19 201014
20 201414

About Mark Shtern

Mark Shtern is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Sociology and Political Science and Urban Studies, having authored 58 papers that have together received 692 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), Jewish and Middle Eastern Studies (6 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Information Systems (391 citations), Software (69 citations), Computer Networks and Communications (386 citations), Urban Studies (56 citations) and Signal Processing (83 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, Marios Fokaefs, Vasileios Theodorou and Hamzeh Khazaei. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, Cities, Journal of Urban Affairs, Geopolitics and Software Practice and Experience.

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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