Asad Habib
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Materials Chemistry
- Co-authors
- Мuhammad AbidMuhammad AdnanMaryam BashirSana Ullah KhanShafaq MussadiqMuhammad SaeedFaheem KhanAbdul Wahid Khan
- Topics
- Natural Language Processing Techniques (5 papers)Mobile Learning in Education (4 papers)Topic Modeling (4 papers)
- Journals
- IEEE AccessHealth AffairsEnergies
- Partner nations
- PakistanJapanUnited Kingdom
In The Last Decade
Asad Habib
36 papers receiving 486 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 176
- Computer Science Applications 115
- Information Systems 100
- Computer Networks and Communications 50
- Materials Chemistry 45
Countries citing papers authored by Asad Habib
This map shows the geographic impact of Asad Habib'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 Asad Habib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asad Habib more than expected).
Fields of papers citing papers by Asad Habib
This network shows the impact of papers produced by Asad Habib. 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 Asad Habib. The network helps show where Asad Habib may publish in the future.
Co-authorship network of co-authors of Asad Habib
This figure shows the co-authorship network connecting the top 25 collaborators of Asad Habib. A scholar is included among the top collaborators of Asad Habib 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 Asad Habib. Asad Habib 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 | 1 | |
| 3 | Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Modelsbreakdown → | 125 |
| 4 | 23 | |
| 5 | 13 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | A Secure Core-Assisted Multicast Routing Protocol in Mobile Ad-Hoc Network | 17 |
| 9 | 0 | |
| 10 | 5 | |
| 11 | An Algorithmic Approach for Core Election in Mobile Ad-hoc Network | 19 |
| 12 | 5 | |
| 13 | 42 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 42 | |
| 19 | 10 | |
| 20 | 11 |
About Asad Habib
Asad Habib is a scholar working on Computer Science Applications, Information Systems and Human-Computer Interaction, having authored 39 papers that have together received 510 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Mobile Learning in Education (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Science Applications (115 citations), Artificial Intelligence (176 citations) and Health Information Management (22 citations). Asad Habib has collaborated with scholars based in Pakistan, Japan and United Kingdom. Frequent co-authors include Мuhammad Abid, Muhammad Adnan, Maryam Bashir, Sana Ullah Khan, Shafaq Mussadiq, Muhammad Saeed, Faheem Khan, Abdul Wahid Khan, Muhammad Awais Javed and Muhammad Rafiq Mufti. Their work appears in journals such as IEEE Access, Health Affairs and Energies.
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.