Nayyer Masood
- Artificial Intelligence
- Information Systems top 10%
- Infectious Diseases
- Molecular Biology
- Epidemiology
- Co-authors
- Sohail AsgharMuhammad Arshad IslamMuhammad Tanvir AfzalShaukat Iqbal MalikTariq NadeemSajid AliAnwar Sheed KhanMuhammad Tahir Khan
- Topics
- Advanced Database Systems and Queries (7 papers)Semantic Web and Ontologies (6 papers)scientometrics and bibliometrics research (5 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- PakistanUnited KingdomAustralia
In The Last Decade
Nayyer Masood
24 papers receiving 235 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 75
- Information Systems 67
- Infectious Diseases 59
- Molecular Biology 38
- Epidemiology 35
Countries citing papers authored by Nayyer Masood
This map shows the geographic impact of Nayyer Masood'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 Nayyer Masood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nayyer Masood more than expected).
Fields of papers citing papers by Nayyer Masood
This network shows the impact of papers produced by Nayyer Masood. 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 Nayyer Masood. The network helps show where Nayyer Masood may publish in the future.
Co-authorship network of co-authors of Nayyer Masood
This figure shows the co-authorship network connecting the top 25 collaborators of Nayyer Masood. A scholar is included among the top collaborators of Nayyer Masood 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 Nayyer Masood. Nayyer Masood 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 | 1 | |
| 4 | 20 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 32 | |
| 17 | 9 | |
| 18 | COMPONENT AND FEDERATION CONCEPT MODELS IN A FEDERATED DATABASE SYSTEM | 1 |
| 19 | 4 | |
| 20 | Schema Interpretation: An Aid to the Schema Analysis in Federated Database Design. | 2 |
About Nayyer Masood
Nayyer Masood is a scholar working on Statistics, Probability and Uncertainty, Health Information Management and Artificial Intelligence, having authored 28 papers that have together received 256 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Semantic Web and Ontologies (6 papers) and scientometrics and bibliometrics research (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (28 citations), Infectious Diseases (59 citations) and Information Systems (67 citations). Nayyer Masood has collaborated with scholars based in Pakistan, United Kingdom and Australia. Frequent co-authors include Sohail Asghar, Muhammad Arshad Islam, Muhammad Tanvir Afzal, Shaukat Iqbal Malik, Tariq Nadeem, Sajid Ali, Anwar Sheed Khan, Muhammad Tahir Khan, Nadeem Anjum and Muhammad Shahid Iqbal Malik. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.