Elena Troubitsynå

1.3k citations
69 papers · 413 · h-index 11

Impact in

Papers in

Elena Troubitsynå

63 papers receiving 389 citations

Peers

Elena Troubitsynå
Comparison fields: 5 of 59
  • Software 154
  • Safety, Risk, Reliability and Quality 92
  • Computational Theory and Mathematics 126
  • Computer Networks and Communications 117
  • Artificial Intelligence 159
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Simos Gerasimou United Kingdom
Mario Trapp Germany
Henrik Lönn Sweden
Dazhi Wang China
István Majzik Hungary
Pierre de Saqui‐Sannes France
Stefan Leue Germany
Paolo Lollini Italy
Ludovic Apvrille France
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Citations per field
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Citations per year

Countries citing papers authored by Elena Troubitsynå

Since Specialization
Citations

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

Fields of papers citing papers by Elena Troubitsynå

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elena Troubitsynå, 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 Elena Troubitsynå Line = papers co-authored together Elena Troubitsynå links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RODIN (Rigorous Open Development Environment for Complex Systems)
200541
2 201938
3 201823
4 201921
5 200417
6 200617
7 201516
8 200813
9 201213
10 201112
11 201211
12 201410
13 20129
14 20189
15 20189
16 19998
17 20177
18 20207
19
The probabilistic steam boiler: a case study in probabilistic data refinement
19986
20 20136

About Elena Troubitsynå

Elena Troubitsynå is a scholar working on Artificial Intelligence, Software, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 69 papers that have together received 413 indexed citations. Recurring topics across this work include Formal Methods in Verification (19 papers), Software Reliability and Analysis Research (19 papers), Advanced Software Engineering Methodologies (16 papers), Safety Systems Engineering in Autonomy (13 papers), Service-Oriented Architecture and Web Services (12 papers), Distributed systems and fault tolerance (7 papers), Software System Performance and Reliability (6 papers) and Real-Time Systems Scheduling (5 papers). The work is most often cited by research in Software (154 citations), Safety, Risk, Reliability and Quality (92 citations), Computational Theory and Mathematics (126 citations), Computer Networks and Communications (117 citations) and Artificial Intelligence (159 citations). Elena Troubitsynå has collaborated with scholars based in Finland, Sweden and United Kingdom. Frequent co-authors include Alexander Romanovsky, Linas Laibinis, Masoud Daneshtalab, Adnan Ashraf, Alexei Iliasov, Justin Coleman, Iván Porres, Michael Butler, Cliff B. Jones and Timo Latvala. Their work appears in journals such as Science of Computer Programming, Formal Aspects of Computing, Royal Society Open Science, Computer Science Review and Computers & Security.

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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