Ivana Balažević

1.2k citations
4 papers · 104 indexed · h-index 3
Topics
Topic Modeling (3 papers)Natural Language Processing Techniques (2 papers)Advanced Graph Neural Networks (2 papers)
Journals
Edinburgh Research Explorer (University of Edinburgh)PubMedarXiv (Cornell University)

In The Last Decade

Ivana Balažević

4 papers receiving 98 citations

Peers

Ivana Balažević
Comparison fields: 5 of 37
  • Artificial Intelligence 86
  • Computer Vision and Pattern Recognition 25
  • Molecular Biology 10
  • Information Systems 10
  • Software 4
Replace Elvys Linhares Pontes with:
Elvys Linhares Pontes France
Terry Yue Zhuo Australia
Yafu Li China
Prajjwal Bhargava United States
Aakanksha Naik United States
Ai Ti Aw Singapore
Daniel Selsam United States
Quchen Fu United States
Linyong Nan United States
Tosin Adewumi Sweden
Ivana Balažević relative to Elvys Linhares Pontes France Elvys Linhares Pontes's profile →
Citations per field
00.5×
Elvys Linhares Pontes · 1×
Citations per year

Countries citing papers authored by Ivana Balažević

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Balažević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Balažević

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 84
2 13
3
What the Vec? Towards Probabilistically Grounded Embeddings
6
4 1

About Ivana Balažević

Ivana Balažević is a scholar working on Artificial Intelligence, Management Science and Operations Research and Genetics, having authored 4 papers that have together received 104 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Artificial Intelligence (86 citations), Health Informatics (3 citations) and Computational Mathematics (1 citation). Ivana Balažević has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Robert Logan, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel, Carl Allen, David Chang, Cynthia Brandt, Daniel G. Chawla and Andrew Taylor. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh), PubMed and arXiv (Cornell University).

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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