Mohammad Abid Khan
- Artificial Intelligence top 5%
- Information Systems
- Sociology and Political Science
- Management Science and Operations Research
- Social Psychology
- Co-authors
- Neelam MukhtarRahman AliShah NazirAmjad AliIhsan RabbiMarkus DickinsonRashid AhmadSandra Kuebler
- Topics
- Natural Language Processing Techniques (17 papers)Topic Modeling (16 papers)Sentiment Analysis and Opinion Mining (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial Intelligence ReviewTelematics and Informatics
- Partner nations
- PakistanUnited StatesChina
In The Last Decade
Mohammad Abid Khan
29 papers receiving 319 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 316
- Information Systems 36
- Sociology and Political Science 17
- Management Science and Operations Research 15
- Social Psychology 11
Countries citing papers authored by Mohammad Abid Khan
This map shows the geographic impact of Mohammad Abid 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 Mohammad Abid Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Abid Khan more than expected).
Fields of papers citing papers by Mohammad Abid Khan
This network shows the impact of papers produced by Mohammad Abid 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 Mohammad Abid Khan. The network helps show where Mohammad Abid Khan may publish in the future.
Co-authorship network of co-authors of Mohammad Abid Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abid Khan. A scholar is included among the top collaborators of Mohammad Abid Khan 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 Mohammad Abid Khan. Mohammad Abid Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | Opinion Mining and Summarization: A Comprehensive Review | 3 |
| 4 | 79 | |
| 5 | 62 | |
| 6 | 0 | |
| 7 | Towards Domain Adaptation for Parsing Web Data | 7 |
| 8 | Algorithm for developing Urdu Probabilistic Parser | 5 |
| 9 | 1 | |
| 10 | Rule-Based Part of Speech Tagging for Pashto Language | 5 |
| 11 | 1 | |
| 12 | Reflexive Anaphora Resolution in Pashto Discourse | 2 |
| 13 | A Corpus-Based Finite State Morphological Analyzer for Pashto | 2 |
| 14 | Efficient Transformation of a Natural Language Query to SQL for Urdu | 9 |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 6 |
About Mohammad Abid Khan
Mohammad Abid Khan is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 30 papers that have together received 336 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Artificial Intelligence (316 citations), Information Systems (36 citations) and Software (5 citations). Mohammad Abid Khan has collaborated with scholars based in Pakistan, United States and China. Frequent co-authors include Neelam Mukhtar, Rahman Ali, Shah Nazir, Amjad Ali, Ihsan Rabbi, Markus Dickinson, Rashid Ahmad, Sandra Kuebler, Sandra Kübler and Muhammad Bilal. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Telematics and Informatics.
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.