Christina Klüver

410 citations
26 papers · 78 indexed · h-index 5
Topics
Complex Network Analysis Techniques (3 papers)Neural Networks and Applications (3 papers)Opinion Dynamics and Social Influence (3 papers)
Journals
SHILAP Revista de lepidopterologíaSoft ComputingComplexity
Partner nations
GermanyMalta

In The Last Decade

Christina Klüver

21 papers receiving 67 citations

Peers

Christina Klüver
Comparison fields: 5 of 60
  • Artificial Intelligence 25
  • Industrial and Manufacturing Engineering 11
  • Mechanical Engineering 8
  • Electrical and Electronic Engineering 7
  • Sociology and Political Science 6
Replace M. A. Jawale with:
M. A. Jawale India
Dariusz Barbucha Poland
Jagjit Singh Dhatterwal India
Peter F. Elzer Germany
Jan Sudeikat Germany
Renata Słota Poland
Aurélie Lemaître France
Maganti Syamala India
Michael May Germany
David Bestor United States
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Citations per field
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M. A. Jawale · 1×
Citations per year

Countries citing papers authored by Christina Klüver

Since Specialization
Citations

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

Fields of papers citing papers by Christina Klüver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Klüver

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Klüver. A scholar is included among the top collaborators of Christina Klüver 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 Christina Klüver. Christina Klüver 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
#WorkIndexed citations
1 1
2 1
3 9
4 0
5 4
6 0
7 2
8 2
9 1
10 1
11 1
12 3
13 2
14 9
15
A Medical Diagnosis System based on MAS Technology and Neural Networks.
2
16 3
17
On Communication. An Interdisciplinary and Mathematical Approach (Theory and Decision Library A
1
18 3
19
Simulations of Group Dynamics with Different Models
4
20
Formal Models, Social Theory and Computer Simulations: Some Methodical Reflections
10

About Christina Klüver

Christina Klüver is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Instrumentation, having authored 26 papers that have together received 78 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Neural Networks and Applications (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Health Informatics (2 citations), Industrial and Manufacturing Engineering (11 citations) and Artificial Intelligence (25 citations). Christina Klüver has collaborated with scholars based in Germany and Malta. Frequent co-authors include Jürgen Klüver, Alexiei Dingli, Alexander Braun, Jörn Schmidt, Matthias Günther, M Glitzner, Michael Heizmann, Markus Ulrich and Rainer Unland. Their work appears in journals such as SHILAP Revista de lepidopterología, Soft Computing and Complexity.

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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