Sylvia Ilieva

585 total citations
59 papers, 288 citations indexed

About

Sylvia Ilieva is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Sylvia Ilieva has authored 59 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 28 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Sylvia Ilieva's work include Service-Oriented Architecture and Web Services (24 papers), Software System Performance and Reliability (23 papers) and Advanced Software Engineering Methodologies (18 papers). Sylvia Ilieva is often cited by papers focused on Service-Oriented Architecture and Web Services (24 papers), Software System Performance and Reliability (23 papers) and Advanced Software Engineering Methodologies (18 papers). Sylvia Ilieva collaborates with scholars based in Bulgaria, Italy and Sweden. Sylvia Ilieva's co-authors include Dessislava Petrova‐Antonova, К. Цекова, Brian Elvesæter, Vladimir Pavlov, Olga Georgieva, Svetla Petrova, Mark A. Ardis, Cesare Bartolini, Antonia Bertolino and Roumen Nikolov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and Cities.

In The Last Decade

Sylvia Ilieva

55 papers receiving 256 citations

Peers

Sylvia Ilieva
Comparison fields: 5 of 66
  • Information Systems 152
  • Computer Networks and Communications 78
  • Artificial Intelligence 46
  • Software 43
  • Management Information Systems 42
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Citations per field, relative to Sylvia Ilieva
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Citations per year, relative to Sylvia Ilieva
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Countries citing papers authored by Sylvia Ilieva

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Ilieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Ilieva

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Ilieva. A scholar is included among the top collaborators of Sylvia Ilieva 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 Sylvia Ilieva. Sylvia Ilieva 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 1
2 1
3 2
4 2
5 1
6 1
7 2
8 0
9
Agile Model-Driven Modernization to the Service Cloud
5
10 3
11 7
12
Towards a methodology for testing of business processes
3
13 1
14 0
15 3
16 2
17 1
18
TESTING IN A SERVICE-ORIENTED WORLD
8
19 1
20 19

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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