Valentina Janev

34 papers receiving 196 citations

Peers

Valentina Janev
Comparison fields: 5 of 64
  • Artificial Intelligence 98
  • Information Systems 68
  • Management Science and Operations Research 50
  • Management Information Systems 39
  • Computer Networks and Communications 26
Replace Christophe Debruyne with:
Christophe Debruyne Ireland
András Micsik Hungary
Alistair Duke United Kingdom
Mads Nygård Norway
Emanuele Storti Italy
Veli Biçer Ireland
Peter Rob
Kawa Nazemi Germany
Iman Saleh United States
Frederico Araújo Dur�ão Brazil
Valentina Janev relative to Christophe Debruyne Ireland Christophe Debruyne's profile →
Citations per field
00.5×1.5×
Christophe Debruyne · 1×
Citations per year

Countries citing papers authored by Valentina Janev

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Janev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Janev

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Janev. A scholar is included among the top collaborators of Valentina Janev 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 Valentina Janev. Valentina Janev 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 3
2 15
3 12
4 2
5 3
6 3
7 2
8 4
9 3
10 2
11 12
12 3
13
LOD2 Tool for Validating RDF Data Cube Models
4
14 5
15
Linked Open Data Infrastructure for Public Sector Information: Example from Serbia
0
16 6
17 36
18 11
19
Knowledge management in the HR sector of R&D organizations
5
20 2

About Valentina Janev

Valentina Janev is a scholar working on Management Science and Operations Research, Management Information Systems and Information Systems, having authored 35 papers that have together received 211 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (7 papers) and Data Quality and Management (7 papers). The work is most often cited by research in Management Information Systems (39 citations), Management Science and Operations Research (50 citations) and Information Systems and Management (23 citations). Valentina Janev has collaborated with scholars based in Serbia, Austria and Germany. Frequent co-authors include Sanja Vraneš, Nikola Tomašević, Hajira Jabeen, Emanuel Sallinger, Damien Graux, Andrej Čampa, María-Esther Vidal, Andrea Vinci, George E. Georghiou and Dušan Popadić. Their work appears in journals such as Energies, Information Processing & Management and Lecture notes in 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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