Ilija Ilievski

514 citations
8 papers · 234 indexed · h-index 6
Topics
Multimodal Machine Learning Applications (3 papers)Machine Learning and Data Classification (3 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
Journals
Neural NetworksEnvironmental Modelling & SoftwareNational University of Singapore
Partner nations
SingaporeHong KongItaly

In The Last Decade

Ilija Ilievski

8 papers receiving 225 citations

Peers

Ilija Ilievski
Comparison fields: 5 of 67
  • Artificial Intelligence 143
  • Computer Vision and Pattern Recognition 94
  • Information Systems 29
  • Computational Theory and Mathematics 24
  • Radiology, Nuclear Medicine and Imaging 19
Replace Tobias Domhan with:
Tobias Domhan Germany
Mengting Hu China
Baisakhi Chakraborty India
Pavel Kordík Czechia
Ritesh Sarkhel United States
Sushanta Biswas India
Li-Lun Wang United States
Urszula Stańczyk Poland
Renzhe Xu China
Ilija Ilievski relative to Tobias Domhan Germany Tobias Domhan's profile →
Citations per field
00.5×1.7×
Tobias Domhan · 1×
Citations per year

Countries citing papers authored by Ilija Ilievski

Since Specialization
Citations

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

Fields of papers citing papers by Ilija Ilievski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilija Ilievski

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2 4
3
Multimodal Learning and Reasoning for Visual Question Answering
25
4 10
5 85
6 34
7 48
8 26

About Ilija Ilievski

Ilija Ilievski is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 234 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (94 citations), Artificial Intelligence (143 citations) and Structural Biology (4 citations). Ilija Ilievski has collaborated with scholars based in Singapore, Hong Kong and Italy. Frequent co-authors include Jiashi Feng, Christine A. Shoemaker, Taimoor Akhtar, Sujoy Roy, Xiangnan He, Wenqiang Lei, Meichun Liu, Min‐Yen Kan and Wei Xia. Their work appears in journals such as Neural Networks, Environmental Modelling & Software and National University of Singapore.

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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