Muhammad Wasif Nisar
- Neurology top 5%
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare 5
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 5
- Machine Learning and ELM 3
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- Software Engineering Research 5
- Software Engineering Techniques and Practices 5
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- Software Reliability and Analysis Research 5
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- Advanced Neural Network Applications 4
- Co-authors
- Junaid RashidJavaria AminMuhammad Almas AnjumAmir HussainNadia GulJungeun KimToqeer MahmoodMudassar Raza
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (2 papers)Sensors (1 paper)
- Partner nations
- PakistanSouth KoreaUnited Kingdom
In The Last Decade
Muhammad Wasif Nisar
37 papers receiving 739 citations
Peers
Comparison fields: 5 of 105
- Neurology 144
- Health Informatics 21
- Health Information Management 71
- Computer Science Applications 73
- Artificial Intelligence 350
Countries citing papers authored by Muhammad Wasif Nisar
This map shows the geographic impact of Muhammad Wasif Nisar'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 Muhammad Wasif Nisar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Wasif Nisar more than expected).
Fields of papers citing papers by Muhammad Wasif Nisar
This network shows the impact of papers produced by Muhammad Wasif Nisar. 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 Muhammad Wasif Nisar. The network helps show where Muhammad Wasif Nisar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Wasif Nisar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 51 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 43 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 26 | |
| 14 | 2019 | 130 | |
| 15 | 2017 | 57 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 4 | |
| 19 | 2013 | 1 | |
| 20 | Simulation and Performance Evaluation of Network on Chip Architectures and Algorithms using CINSIM | 2011 | 2 |
About Muhammad Wasif Nisar
Muhammad Wasif Nisar is a scholar working on Software, Health Information Management and Information Systems, having authored 39 papers that have together received 789 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Artificial Intelligence in Healthcare (5 papers), Software Reliability and Analysis Research (5 papers), Advanced Text Analysis Techniques (5 papers), Software Engineering Techniques and Practices (5 papers), Advanced Neural Network Applications (4 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Neurology (144 citations), Health Informatics (21 citations) and Health Information Management (71 citations). Muhammad Wasif Nisar has collaborated with scholars based in Pakistan, South Korea and United Kingdom. Frequent co-authors include Junaid Rashid, Javaria Amin, Muhammad Almas Anjum, Amir Hussain, Nadia Gul, Jungeun Kim, Toqeer Mahmood, Mudassar Raza, Muhammad Sharif and Syed Bukhari. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.