Imdadullah Khan
Impact in
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- Limits and Structures in Graph Theory
- Geometry and Topology top 10%
- Graph theory and applications
Papers in
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- Algorithms and Data Compression 4
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- Machine Learning in Bioinformatics 5
- Co-authors
- Anjan Patel (2 shared papers)Asim Karim (3 shared papers)Sarwan Ali (9 shared papers)Vladimir Pavlović (2 shared papers)Naveed Arshad (3 shared papers)Pavel P. Kuksa (2 shared papers)Arif Zaman (2 shared papers)Mudassir Shabbir (2 shared papers)
- Journals
- Construction and Building Materials (2 papers)Journal of Combinatorial Theory Series B (1 paper)Measurement (1 paper)Scientific Reports (1 paper)Machine Learning (1 paper)
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Imdadullah Khan
22 papers receiving 195 citations
Peers
Comparison fields: 5 of 61
- Discrete Mathematics and Combinatorics 64
- Geometry and Topology 38
- Computational Theory and Mathematics 58
- Computational Mathematics 2
- Artificial Intelligence 51
Countries citing papers authored by Imdadullah Khan
This map shows the geographic impact of Imdadullah Khan'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 Imdadullah Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imdadullah Khan more than expected).
Fields of papers citing papers by Imdadullah Khan
This network shows the impact of papers produced by Imdadullah Khan. 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 Imdadullah Khan. The network helps show where Imdadullah Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Imdadullah Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 41 | |
| 2 | 2020 | 26 | |
| 3 | 2023 | 25 | |
| 4 | 2015 | 25 | |
| 5 | 2019 | 15 | |
| 6 | Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification | 2017 | 12 |
| 7 | 2023 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2012 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2011 | 6 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2015 | 2 | |
| 20 | DIGITAL DIVIDE DURING COVID-19 PANDEMIC AMONG UNDERGRADUAT STUDENTS OF PUNJAB, PAKISTAN | 2021 | 1 |
About Imdadullah Khan
Imdadullah Khan is a scholar working on Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Signal Processing and Discrete Mathematics and Combinatorics, having authored 27 papers that have together received 210 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Algorithms and Data Compression (4 papers), Limits and Structures in Graph Theory (3 papers), Music and Audio Processing (3 papers), Advanced Graph Theory Research (3 papers), Energy Load and Power Forecasting (3 papers), Geotechnical Engineering and Soil Stabilization (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (64 citations), Geometry and Topology (38 citations), Computational Theory and Mathematics (58 citations), Computational Mathematics (2 citations) and Artificial Intelligence (51 citations). Imdadullah Khan has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Anjan Patel, Asim Karim, Sarwan Ali, Vladimir Pavlović, Naveed Arshad, Pavel P. Kuksa, Arif Zaman, Mudassir Shabbir, Murray Patterson and Alex Zelikovsky. Their work appears in journals such as Construction and Building Materials, Journal of Combinatorial Theory Series B, Measurement, Scientific Reports and Machine Learning.
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.