Nebojša Jojić
About
In The Last Decade
Nebojša Jojić
121 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 1.7k
- Molecular Biology 1.1k
- Artificial Intelligence 770
- Immunology 286
- Signal Processing 284
Countries citing papers authored by Nebojša Jojić
This map shows the geographic impact of Nebojša Jojić'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 Nebojša Jojić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nebojša Jojić more than expected).
Fields of papers citing papers by Nebojša Jojić
This network shows the impact of papers produced by Nebojša Jojić. 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 Nebojša Jojić. The network helps show where Nebojša Jojić may publish in the future.
Co-authorship network of co-authors of Nebojša Jojić
This figure shows the co-authorship network connecting the top 25 collaborators of Nebojša Jojić. A scholar is included among the top collaborators of Nebojša Jojić 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 Nebojša Jojić. Nebojša Jojić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 24 | |
| 3 | 10 | |
| 4 | 45 | |
| 5 | FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary | 5 |
| 6 | Label super-resolution networks. | 8 |
| 7 | Skim-reading thousands of documents in one minute: Data indexing and visualization for multifarious search | 2 |
| 8 | Documents as multiple overlapping windows into grids of counts | 7 |
| 9 | A Comparative Framework for Preconditioned Lasso Algorithms | 5 |
| 10 | 13 | |
| 11 | Maximum-likelihood learning of cumulative distribution functions on graphs | 4 |
| 12 | Structural epitome: a way to summarize one’s visual experience | 27 |
| 13 | Free energy score space | 14 |
| 14 | Discovering patterns in biological sequences by optimal segmentation | 6 |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Real-time On-line Learning of Transformed Hidden Markov Models from Video | 5 |
| 18 | Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. | 1 |
| 19 | Transformation-Invariant Clustering and Linear Component Analysis using the EM Algorithm | 1 |
| 20 | Topographic Transformation as a Discrete Latent Variable | 10 |
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.