Toufiq Parag
- Computer Vision and Pattern Recognition top 5%
- Biophysics top 5%
- Artificial Intelligence
- Structural Biology top 5%
- Molecular Biology
- Co-authors
- Ahmed ElgammalRyan KennedyJianbo ShiDmitri B. ChklovskiiJuan Nunez-IglesiasA. MittalFatih PorikliYingli Tian
- Topics
- Cell Image Analysis Techniques (7 papers)Advanced Electron Microscopy Techniques and Applications (5 papers)Anomaly Detection Techniques and Applications (4 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Toufiq Parag
21 papers receiving 335 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 193
- Biophysics 84
- Artificial Intelligence 79
- Structural Biology 47
- Molecular Biology 39
Countries citing papers authored by Toufiq Parag
This map shows the geographic impact of Toufiq Parag'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 Toufiq Parag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toufiq Parag more than expected).
Fields of papers citing papers by Toufiq Parag
This network shows the impact of papers produced by Toufiq Parag. 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 Toufiq Parag. The network helps show where Toufiq Parag may publish in the future.
Co-authorship network of co-authors of Toufiq Parag
This figure shows the co-authorship network connecting the top 25 collaborators of Toufiq Parag. A scholar is included among the top collaborators of Toufiq Parag 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 Toufiq Parag. Toufiq Parag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 48 | |
| 3 | 10 | |
| 4 | Efficient Correction for EM Connectomics with Skeletal Representation. | 3 |
| 5 | Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. | 3 |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | A Context-aware Delayed Agglomeration Framework for EM Segmentation. | 3 |
| 11 | 10 | |
| 12 | 98 | |
| 13 | Machine learning of hierarchical clustering to segment n-dimensional images | 2 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 38 | |
| 19 | 5 | |
| 20 | 55 |
About Toufiq Parag
Toufiq Parag is a scholar working on Structural Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 348 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Advanced Electron Microscopy Techniques and Applications (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Structural Biology (47 citations), Biophysics (84 citations) and Computer Vision and Pattern Recognition (193 citations). Toufiq Parag has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Ahmed Elgammal, Ryan Kennedy, Jianbo Shi, Dmitri B. Chklovskii, Juan Nunez-Iglesias, A. Mittal, Fatih Porikli, Yingli Tian, Zhe Wu and Longlong Jing. Their work appears in journals such as PLoS ONE, Lecture notes in computer science and Informatics.
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.