Imran Iqbal
- Artificial Intelligence top 10%
- Oncology
- Epidemiology
- Computer Vision and Pattern Recognition top 10%
- Building and Construction top 10%
- Co-authors
- Roy FleischmannJinwen MaKhuram WalayatMohammad S. Al‐HomoudRichard SternMuhammad YounusMohib Ullah KakarJianxiang Wang
- Topics
- Autoimmune and Inflammatory Disorders Research (5 papers)Rheumatoid Arthritis Research and Therapies (5 papers)Building Energy and Comfort Optimization (3 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Imran Iqbal
37 papers receiving 913 citations
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 167
- Oncology 145
- Epidemiology 111
- Computer Vision and Pattern Recognition 104
- Building and Construction 92
Countries citing papers authored by Imran Iqbal
This map shows the geographic impact of Imran 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 Imran Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Iqbal more than expected).
Fields of papers citing papers by Imran Iqbal
This network shows the impact of papers produced by Imran 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 Imran Iqbal. The network helps show where Imran Iqbal may publish in the future.
Co-authorship network of co-authors of Imran Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Imran Iqbal. A scholar is included among the top collaborators of Imran 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 Imran Iqbal. Imran 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | 63 | |
| 15 | 188 | |
| 16 | Calibrating snow and glacier melt runoff model by employing in-situ measurements and satellite data to predict future melt-water flows in high-altitude basin of North Pakistan | 1 |
| 17 | 17 | |
| 18 | 76 | |
| 19 | 43 | |
| 20 | 1 |
About Imran Iqbal
Imran Iqbal is a scholar working on Issues, ethics and legal aspects, Health Informatics and Business and International Management, having authored 41 papers that have together received 958 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Building Energy and Comfort Optimization (3 papers). The work is most often cited by research in Health Informatics (15 citations), Building and Construction (92 citations) and Rheumatology (86 citations). Imran Iqbal has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Roy Fleischmann, Jinwen Ma, Khuram Walayat, Mohammad S. Al‐Homoud, Richard Stern, Muhammad Younus, Jinwen Ma, Mohib Ullah Kakar, Jianxiang Wang and Yulin Deng. Their work appears in journals such as Nature Materials, The Science of The Total Environment and Scientific Reports.
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.