Barbora Bühnová

2.3k citations
107 papers · 1.3k · h-index 17

Impact in

Papers in

Barbora Bühnová

98 papers receiving 1.3k citations

Peers

Barbora Bühnová
Comparison fields: 5 of 92
  • Software 208
  • Computer Networks and Communications 659
  • Information Systems 441
  • Artificial Intelligence 407
  • Computer Science Applications 58
Replace Fuyuki Ishikawa with:
Fuyuki Ishikawa Japan
Khaled M. Khan Qatar
Rami Bahsoon United Kingdom
Behrouz H. Far Canada
Yanfei Sun China
Claudio A. Ardagna Italy
Sunil Vadera United Kingdom
Antonio Vetrò Italy
Shinichi Honiden Japan
Elisa Yumi Nakagawa Brazil
Barbora Bühnová relative to Fuyuki Ishikawa Japan Fuyuki Ishikawa's profile →
Citations per field
00.5×1.6×
Fuyuki Ishikawa · 1×
Citations per year

Countries citing papers authored by Barbora Bühnová

Since Specialization
Citations

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

Fields of papers citing papers by Barbora Bühnová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018202
2 2012186
3 201183
4 202176
5 202157
6 201654
7 201852
8 201850
9 202035
10 201132
11 202132
12 201924
13 202224
14 201123
15 201719
16
Voluntary corporate disclosure in the Era of Social Media
201617
17 201817
18 202116
19 201915
20 202314

About Barbora Bühnová

Barbora Bühnová is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Software and Electrical and Electronic Engineering, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Software Engineering Research (18 papers), Software System Performance and Reliability (15 papers), Advanced Software Engineering Methodologies (11 papers), Software Reliability and Analysis Research (11 papers), Blockchain Technology Applications and Security (10 papers), Smart Grid Security and Resilience (9 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Software (208 citations), Computer Networks and Communications (659 citations), Information Systems (441 citations), Artificial Intelligence (407 citations) and Computer Science Applications (58 citations). Barbora Bühnová has collaborated with scholars based in Czechia, Germany and Morocco. Frequent co-authors include Hind Bangui, Mouzhi Ge, Indika Meedeniya, Aldeida Aleti, Anne Koziolek, Lars Grunske, Ralf Reussner, Heiko Koziolek, Tomáš Pitner and Francesco Caputo. Their work appears in journals such as Education and Information Technologies, Journal of Systems and Software, IEEE Transactions on Software Engineering, Science of Computer Programming and Transactions on Emerging Telecommunications Technologies.

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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