Qaiser Mehmood
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
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- Data Quality and Management
Papers in
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- Semantic Web and Ontologies 11
- Advanced Graph Neural Networks 2
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- Biomedical Text Mining and Ontologies 6
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Co-authors
- Muhammad Saleem (8 shared papers)Ali Hasnain (5 shared papers)Dietrich Rebholz‐Schuhmann (6 shared papers)Stefan Decker (2 shared papers)Axel-Cyrille Ngonga Ngomo (4 shared papers)Alokkumar Jha (4 shared papers)Aidan Hogan (4 shared papers)Syed Bukhari (1 shared paper)
In The Last Decade
Qaiser Mehmood
21 papers receiving 139 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 100
- Management Science and Operations Research 27
- Information Systems and Management 12
- Health Information Management 7
- Computer Networks and Communications 31
Countries citing papers authored by Qaiser Mehmood
This map shows the geographic impact of Qaiser Mehmood'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 Qaiser Mehmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qaiser Mehmood more than expected).
Fields of papers citing papers by Qaiser Mehmood
This network shows the impact of papers produced by Qaiser Mehmood. 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 Qaiser Mehmood. The network helps show where Qaiser Mehmood may publish in the future.
Co-authors
The 25 scholars most cited alongside Qaiser Mehmood, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 25 | |
| 2 | FedViz: A Visual Interface for SPARQL Queries Formulation and Execution. | 2015 | 24 |
| 3 | 2019 | 21 | |
| 4 | 2017 | 16 | |
| 5 | 2017 | 15 | |
| 6 | 2018 | 12 | |
| 7 | 2019 | 7 | |
| 8 | 2016 | 7 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2022 | 4 | |
| 12 | Intrarenal neuroblastoma: a diagnostic challenge. | 2015 | 4 |
| 13 | PrEVIEw: Clustering and Visualising PubMed using Visual Interface. | 2016 | 3 |
| 14 | 2014 | 3 | |
| 15 | 2021 | 3 | |
| 16 | Paraneoplastic Cushing Syndrome Due To Wilm's Tumor. | 2017 | 2 |
| 17 | 2019 | 2 | |
| 18 | Primary renal Ewing's sarcoma: a rare entity. | 2014 | 2 |
| 19 | 2023 | 1 | |
| 20 | 2016 | 1 |
About Qaiser Mehmood
Qaiser Mehmood is a scholar working on Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 162 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (4 papers), Data Management and Algorithms (3 papers), Graph Theory and Algorithms (3 papers), Data Quality and Management (3 papers), Gene expression and cancer classification (3 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Artificial Intelligence (100 citations), Management Science and Operations Research (27 citations), Information Systems and Management (12 citations), Health Information Management (7 citations) and Computer Networks and Communications (31 citations). Qaiser Mehmood has collaborated with scholars based in Ireland, Germany and Pakistan. Frequent co-authors include Muhammad Saleem, Ali Hasnain, Dietrich Rebholz‐Schuhmann, Stefan Decker, Axel-Cyrille Ngonga Ngomo, Alokkumar Jha, Aidan Hogan, Syed Bukhari, Gábor Szárnyas and Claude N. Warren. Their work appears in journals such as Journal of Biomedical Semantics, Semantic Web, IEEE Access, World Wide Web and International Journal on Semantic Web and Information Systems.
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.