Inna Novalija
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Management Information Systems top 10%
- Information Systems
- Management Science and Operations Research
- Co-authors
- Dunja MladenićJože M. RožanecPatrik ZajecBlaž FortunaKlemen KendaThanassis GiannetsosSofia Anna MenesidouNino Cauli
- Topics
- Semantic Web and Ontologies (6 papers)Advanced Text Analysis Techniques (4 papers)Big Data and Business Intelligence (3 papers)
- Partner nations
- SloveniaUnited KingdomGermany
In The Last Decade
Inna Novalija
16 papers receiving 223 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 109
- Artificial Intelligence 76
- Management Information Systems 40
- Information Systems 29
- Management Science and Operations Research 18
Countries citing papers authored by Inna Novalija
This map shows the geographic impact of Inna Novalija'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 Inna Novalija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna Novalija more than expected).
Fields of papers citing papers by Inna Novalija
This network shows the impact of papers produced by Inna Novalija. 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 Inna Novalija. The network helps show where Inna Novalija may publish in the future.
Co-authorship network of co-authors of Inna Novalija
This figure shows the co-authorship network connecting the top 25 collaborators of Inna Novalija. A scholar is included among the top collaborators of Inna Novalija 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 Inna Novalija. Inna Novalija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | Human-centric artificial intelligence architecture for industry 5.0 applicationsbreakdown → | 137 |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | Informal Multilingual Multi-domain Sentiment Analysis | 2 |
| 15 | 18 | |
| 16 | Content and structure in the aspect of semi-automatic ontology extension | 2 |
| 17 | Ontology Extension Towards Analysis of Business News | 3 |
About Inna Novalija
Inna Novalija is a scholar working on Sensory Systems, Artificial Intelligence and Management Information Systems, having authored 17 papers that have together received 236 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Advanced Text Analysis Techniques (4 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (109 citations), Management Information Systems (40 citations) and Health Informatics (4 citations). Inna Novalija has collaborated with scholars based in Slovenia, United Kingdom and Germany. Frequent co-authors include Dunja Mladenić, Jože M. Rožanec, Patrik Zajec, Blaž Fortuna, Klemen Kenda, Thanassis Giannetsos, Sofia Anna Menesidou, Nino Cauli, Sungho Suh and Rubén Alonso. Their work appears in journals such as IEEE Access, International Journal of Production Research and Knowledge-Based Systems.
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.