Kārlis Čerāns

1.4k total citations
29 papers, 321 citations indexed

About

Kārlis Čerāns is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Kārlis Čerāns has authored 29 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Kārlis Čerāns's work include Semantic Web and Ontologies (14 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Kārlis Čerāns is often cited by papers focused on Semantic Web and Ontologies (14 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Kārlis Čerāns collaborates with scholars based in Latvia, Sweden and United Kingdom. Kārlis Čerāns's co-authors include Bengt Jönsson, Parosh Aziz Abdulla, Yih-Kuen Tsay, Guntis Bārzdiņš, Kim G. Larsen, Jens Chr. Godskesen, Edgars Celms, Juris Vīksna, Alvis Brāzma and Dace Ruklisa and has published in prestigious journals such as Gene, BMC Bioinformatics and PROTEOMICS.

In The Last Decade

Kārlis Čerāns

25 papers receiving 293 citations

Peers

Kārlis Čerāns
Comparison fields: 5 of 28
  • Computational Theory and Mathematics 209
  • Artificial Intelligence 175
  • Software 88
  • Computer Networks and Communications 71
  • Information Systems 51
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Citations per field, relative to Kārlis Čerāns
Kārlis Čerāns · 1×
Citations per year, relative to Kārlis Čerāns
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Countries citing papers authored by Kārlis Čerāns

Since Specialization
Citations

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

Fields of papers citing papers by Kārlis Čerāns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kārlis Čerāns

This figure shows the co-authorship network connecting the top 25 collaborators of Kārlis Čerāns. A scholar is included among the top collaborators of Kārlis Čerāns 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 Kārlis Čerāns. Kārlis Čerāns 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 0
2 2
3 3
4 3
5 1
6
Extending OWL Ontology Visualizations with Interactive Contextual Verbalization.
2
7
OBIS: Ontology-Based Information System Framework.
2
8
RDB2OWL: A Language and Tool for Database to Ontology Mapping.
5
9
SPARQL Aggregate Queries Made Easy with Diagrammatic Query Language ViziQuer.
1
10
Graphical Schema Editing for StarDog OWL/RDF Databases using OWLGrEd/S
4
11 2
12
Visualizing and Editing Ontology Fragments with OWLGrEd
2
13
Advanced Ontology Visualization with OWLGrEd.
4
14
RDB2OWL: a RDB-to-RDF/OWL Mapping Specification Language
3
15
Multilevel Data Repository for Ontological and Meta-modeling
1
16
A Kernel-level UNDO/REDO Mechanism for the Transformation-Driven Architecture
1
17
OWLGrEd: a UML Style Graphical Notation and Editor for OWL 2.
25
18 77
19 1
20 11

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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