Alexandra Klímová

1.1k citations
13 papers · 600 indexed · 1 hit paper · h-index 4
Topics
Scientific Computing and Data Management (3 papers)Big Data and Business Intelligence (2 papers)Sustainability in Higher Education (2 papers)
Journals
Journal of Cleaner ProductionIFAC-PapersOnLineProcedia Computer Science
Partner nations
RussiaGreeceFrance

In The Last Decade

Alexandra Klímová

10 papers receiving 553 citations

Hit Papers

Artificial Intelligence trends in education: a narrative ...20182026202020232018100200300400

Peers

Alexandra Klímová
Comparison fields: 5 of 98
  • Computer Science Applications 207
  • Artificial Intelligence 184
  • Information Systems 139
  • Education 107
  • Health Informatics 80
Replace Anna Bilyatdinova with:
Anna Bilyatdinova Russia
Milena Ilić Serbia
Valentin Kuleto Serbia
Marko Ranković Serbia
Roy Setiawan Indonesia
Dag Håkon Olsen Norway
Ikhlaas Gurrib United Arab Emirates
Friday Joseph Agbo Finland
Syed Irfan Hyder Pakistan
Wolfgang Greller Austria
Alexandra Klímová relative to Anna Bilyatdinova Russia Anna Bilyatdinova's profile →
Citations per field
00.5×4.3×
Anna Bilyatdinova · 1×
Citations per year

Countries citing papers authored by Alexandra Klímová

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Klímová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Klímová

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Klímová. A scholar is included among the top collaborators of Alexandra Klímová 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 Alexandra Klímová. Alexandra Klímová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 0
5 0
6 1
7 1
8 3
9 44
10
Artificial Intelligence trends in education: a narrative overviewbreakdown →
456
11 10
12 3
13 78

About Alexandra Klímová

Alexandra Klímová is a scholar working on Information Systems and Management, Management Information Systems and Development, having authored 13 papers that have together received 600 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Big Data and Business Intelligence (2 papers) and Sustainability in Higher Education (2 papers). The work is most often cited by research in Health Informatics (80 citations), Computer Science Applications (207 citations) and Human-Computer Interaction (35 citations). Alexandra Klímová has collaborated with scholars based in Russia, Greece and France. Frequent co-authors include Anna Bilyatdinova, Éric Rondeau, Arkady Zaslavsky, Jari Porras, Karl Andersson, A. V. Rybin, P.M.A. Sloot, Alexander V. Boukhanovsky, Vladimir Voevodin and Angelos Bilas. Their work appears in journals such as Journal of Cleaner Production, IFAC-PapersOnLine and Procedia Computer Science.

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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