Bojana Dalbelo Bašić

792 total citations
52 papers, 456 citations indexed

About

Bojana Dalbelo Bašić is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Bojana Dalbelo Bašić has authored 52 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Bojana Dalbelo Bašić's work include Natural Language Processing Techniques (23 papers), Topic Modeling (18 papers) and Semantic Web and Ontologies (9 papers). Bojana Dalbelo Bašić is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (18 papers) and Semantic Web and Ontologies (9 papers). Bojana Dalbelo Bašić collaborates with scholars based in Croatia, United Kingdom and Germany. Bojana Dalbelo Bašić's co-authors include Jan Šnajder, Mladen Karan, Goran Glavaš, Goran Mauša, Tihana Galinac Grbac, Saša Petrović, Marko Tadić, Samo Ribarič, Mladen Kolar and Ivana Pajač Živković and has published in prestigious journals such as Expert Systems with Applications, Energy and Energies.

In The Last Decade

Bojana Dalbelo Bašić

49 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bojana Dalbelo Bašić Croatia	11	301	90	38	36	35	52	456
Haslina Md Sarkan Malaysia	9	117 0.4×	190 2.1×	11 0.3×	29 0.8×	42 1.2×	30	319
Robert N. Moll United States	10	174 0.6×	19 0.2×	24 0.6×	32 0.9×	25 0.7×	30	422
Hamad Alsawalqah Jordan	8	188 0.6×	116 1.3×	54 1.4×	5 0.1×	36 1.0×	19	333
Salma Mouline Morocco	9	148 0.5×	173 1.9×	8 0.2×	8 0.2×	64 1.8×	37	345
Tsunenori Mine Japan	12	241 0.8×	207 2.3×	7 0.2×	42 1.2×	32 0.9×	105	461
Hongyang Qu United Kingdom	14	320 1.1×	77 0.9×	77 2.0×	5 0.1×	25 0.7×	50	559
K. Vivekanandan India	10	139 0.5×	164 1.8×	31 0.8×	10 0.3×	18 0.5×	55	328
Lisa Ehrlinger Austria	5	232 0.8×	94 1.0×	8 0.2×	9 0.3×	29 0.8×	19	417
Takfarinas Saber Ireland	11	124 0.4×	117 1.3×	58 1.5×	18 0.5×	18 0.5×	41	318
Panos Constantopoulos Greece	14	263 0.9×	225 2.5×	22 0.6×	46 1.3×	63 1.8×	57	577

Countries citing papers authored by Bojana Dalbelo Bašić

Since Specialization

Citations

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

Fields of papers citing papers by Bojana Dalbelo Bašić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bojana Dalbelo Bašić. 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 Bojana Dalbelo Bašić. The network helps show where Bojana Dalbelo Bašić may publish in the future.

Co-authorship network of co-authors of Bojana Dalbelo Bašić

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kocman, Branislav, et al.. (2024). Influence of donor age on liver transplantation outcomes: A multivariate analysis and comparative study. World Journal of Gastrointestinal Surgery. 16(2). 331–344.

Kocman, Branislav, et al.. (2023). Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma. Annals of Translational Medicine. 11(10). 345–345. 4 indexed citations

Milovanović, Bojan, et al.. (2022). Combining Deep Learning and the Heat Flux Method for In-Situ Thermal-Transmittance Measurement Improvement. Energies. 15(14). 5029–5029. 5 indexed citations

Šnajder, Jan, et al.. (2019). Evaluating Automatic Term Extraction Methods on Individual Documents. 149–154. 13 indexed citations

Bašić, Bojana Dalbelo, et al.. (2017). Modelling the Impact of Installation of Heat Cost Allocators in DH Systems Using Machine Learning. 24. 1 indexed citations

Šnajder, Jan, et al.. (2017). Predicting News Values from Headline Text and Emotions. MADOC (University of Mannheim). 1–6. 3 indexed citations

Glavaš, Goran, et al.. (2016). Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base. MADOC (University of Mannheim). 2077–2080. 1 indexed citations

Bašić, Bojana Dalbelo, et al.. (2013). Construction and Evaluation of Cellular Automata Lattice Based on the Semantics of an Urban Traffic Network. 8. 417–428. 1 indexed citations

Karan, Mladen, et al.. (2013). CroNER: Recognizing Named Entities in Croatian Using Conditional Random Fields. MADOC (University of Mannheim). 37(2). 165–172. 3 indexed citations

10.

Mauša, Goran, Tihana Galinac Grbac, & Bojana Dalbelo Bašić. (2012). Multivariate logistic regression prediction of fault-proneness in software modules. International Convention on Information and Communication Technology, Electronics and Microelectronics. 698–703. 14 indexed citations

11.

Karan, Mladen, Jan Šnajder, & Bojana Dalbelo Bašić. (2012). Evaluation of Classification Algorithms and Features for Collocation Extraction in Croatian. Language Resources and Evaluation. 657–662. 7 indexed citations

12.

Glavaš, Goran, et al.. (2012). TakeLab: Systems for Measuring Semantic Text Similarity. MADOC (University of Mannheim). 441–448. 148 indexed citations

13.

Bašić, Bojana Dalbelo, et al.. (2012). GPS Data-based Non-parametric Regression for Predicting Travel Times in Urban Traffic Networks. PROMET - Traffic&Transportation. 22(1). 1–13. 13 indexed citations

14.

Seljan, Sanja, et al.. (2010). Corpus Aligner (CorAl) Evaluation on English-Croatian Parallel Corpora. Language Resources and Evaluation. 2 indexed citations

15.

Šnajder, Jan & Bojana Dalbelo Bašić. (2009). String Distance-Based Stemming of the Highly Inflected Croatian Language. Recent Advances in Natural Language Processing. 411–415. 6 indexed citations

16.

Tadić, Marko, Bojana Dalbelo Bašić, & Marie‐Francine Moens. (2009). Computer-Aided Document Indexing Accessing Legislation: A Joint Venture of Flanders and Croatia. 3–13. 1 indexed citations

17.

Bašić, Bojana Dalbelo, et al.. (2005). Mining Textual Data in Croatian.. 61–66. 2 indexed citations

18.

Ribarič, Samo & Bojana Dalbelo Bašić. (2002). Fuzzy time Petri net primitives for processing fuzzy temporal knowledge. 1. 549–553. 1 indexed citations

19.

Ribarič, Samo & Bojana Dalbelo Bašić. (2002). Temporal knowledge representation and reasoning model based on Petri nets with time tokens. 1. 131–135. 5 indexed citations

20.

Perić, Sanja, et al.. (2001). Applying survival analysis for estimating and comparing flushing time variability. 28. 273–278 vol.1. 1 indexed citations

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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