Deeba Afzal
- Computational Theory and Mathematics top 1%
- Management Science and Operations Research top 2%
- Geometry and Topology top 2%
- Organic Chemistry
- Control and Systems Engineering top 10%
- Co-authors
- Muhammad RiazKhalid NaeemFarkhanda AfzalMurat CancanXindong PengMohammad Reza FarahaniSüleyman EdizAyesha Maqbool
- Topics
- Graph theory and applications (28 papers)Computational Drug Discovery Methods (21 papers)Multi-Criteria Decision Making (11 papers)
- Cited by
- Geometry and TopologyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFrontiers in Chemistry
In The Last Decade
Deeba Afzal
51 papers receiving 668 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 410
- Management Science and Operations Research 283
- Geometry and Topology 269
- Organic Chemistry 110
- Control and Systems Engineering 86
Countries citing papers authored by Deeba Afzal
This map shows the geographic impact of Deeba Afzal'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 Deeba Afzal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeba Afzal more than expected).
Fields of papers citing papers by Deeba Afzal
This network shows the impact of papers produced by Deeba Afzal. 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 Deeba Afzal. The network helps show where Deeba Afzal may publish in the future.
Co-authorship network of co-authors of Deeba Afzal
This figure shows the co-authorship network connecting the top 25 collaborators of Deeba Afzal. A scholar is included among the top collaborators of Deeba Afzal 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 Deeba Afzal. Deeba Afzal 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 26 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 9 | |
| 17 | 80 | |
| 18 | 48 | |
| 19 | 1 | |
| 20 | On the total edge irregularity strength of zigzag graphs. | 15 |
About Deeba Afzal
Deeba Afzal is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Management Science and Operations Research, having authored 54 papers that have together received 676 indexed citations. Recurring topics across this work include Graph theory and applications (28 papers), Computational Drug Discovery Methods (21 papers) and Multi-Criteria Decision Making (11 papers). The work is most often cited by research in Geometry and Topology (269 citations), Computational Theory and Mathematics (410 citations) and Management Science and Operations Research (283 citations). Deeba Afzal has collaborated with scholars based in Pakistan, Türkiye and Iran. Frequent co-authors include Muhammad Riaz, Khalid Naeem, Farkhanda Afzal, Murat Cancan, Xindong Peng, Mohammad Reza Farahani, Süleyman Ediz, Ayesha Maqbool, Muhammad Kamran Siddiqui and Najma Saleem. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Chemistry.
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.