Maja Hadzic

76 total papers · 1.8k total citations
38 papers, 357 citations indexed

About

Maja Hadzic is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Maja Hadzic has authored 38 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Molecular Biology and 10 papers in Information Systems. Recurrent topics in Maja Hadzic's work include Semantic Web and Ontologies (22 papers), Biomedical Text Mining and Ontologies (16 papers) and Service-Oriented Architecture and Web Services (7 papers). Maja Hadzic is often cited by papers focused on Semantic Web and Ontologies (22 papers), Biomedical Text Mining and Ontologies (16 papers) and Service-Oriented Architecture and Web Services (7 papers). Maja Hadzic collaborates with scholars based in Australia, Canada and Iran. Maja Hadzic's co-authors include Elizabeth Chang, Tharam S. Dillon, Pornpit Wongthongtham, Mihaela Ulieru, Marjan Khajehei, Fedja Hadzic, Farkhondeh Sharif, Chen Wu, Richard Cyganiak and Seán Ó Riain and has published in prestigious journals such as Information Sciences, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Australian Psychologist.

In The Last Decade

Maja Hadzic

36 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Hadzic 154 93 68 38 34 38 357
Juan Antonio Lossio-Ventura 216 1.4× 70 0.8× 110 1.6× 15 0.4× 9 0.3× 37 384
Stephan Kiefer 65 0.4× 25 0.3× 64 0.9× 49 1.3× 10 0.3× 33 345
Hamid Reza Saeidnia 93 0.6× 53 0.6× 7 0.1× 45 1.2× 18 0.5× 40 314
Sokratis Nifakos 60 0.4× 139 1.5× 17 0.3× 50 1.3× 45 1.3× 16 383
Stefano Cirillo 139 0.9× 60 0.6× 9 0.1× 16 0.4× 33 1.0× 48 370
Ed de Quincey 92 0.6× 85 0.9× 21 0.3× 20 0.5× 20 0.6× 28 316
Marie‐Jean Meurs 172 1.1× 61 0.7× 44 0.6× 14 0.4× 22 0.6× 41 347
Yuan Ni 147 1.0× 66 0.7× 32 0.5× 13 0.3× 46 1.4× 58 317
Hung‐Jen Yang 52 0.3× 32 0.3× 26 0.4× 24 0.6× 15 0.4× 60 348
Pedro Vieira‐Marques 58 0.4× 54 0.6× 25 0.4× 42 1.1× 40 1.2× 55 336

Countries citing papers authored by Maja Hadzic

Since Specialization
Citations

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

Fields of papers citing papers by Maja Hadzic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Hadzic

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

All Works

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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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