Zohaib Iqbal
About
In The Last Decade
Zohaib Iqbal
24 papers receiving 515 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 368
- Radiation 261
- Pulmonary and Respiratory Medicine 123
- Biomedical Engineering 111
- Artificial Intelligence 53
Countries citing papers authored by Zohaib Iqbal
This map shows the geographic impact of Zohaib Iqbal'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 Zohaib Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zohaib Iqbal more than expected).
Fields of papers citing papers by Zohaib Iqbal
This network shows the impact of papers produced by Zohaib Iqbal. 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 Zohaib Iqbal. The network helps show where Zohaib Iqbal may publish in the future.
Co-authorship network of co-authors of Zohaib Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Zohaib Iqbal. A scholar is included among the top collaborators of Zohaib Iqbal 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 Zohaib Iqbal. Zohaib Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 53 | |
| 13 | A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning breakdown → | 254 |
| 14 | 9 | |
| 15 | 47 | |
| 16 | 3 | |
| 17 | Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. | 24 |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 14 |
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.