Muhammad Raza Naqvi

598 citations
41 papers · 364 indexed · h-index 12

Muhammad Raza Naqvi

38 papers receiving 344 citations

Peers

Muhammad Raza Naqvi
Comparison fields: 5 of 86
  • Health Information Management 32
  • Human Factors and Ergonomics 11
  • Computer Networks and Communications 93
  • Information Systems and Management 28
  • Artificial Intelligence 113
Replace Hafiza Abas with:
Hafiza Abas Malaysia
Hourieh Khalajzadeh Australia
Ghaith M. Jaradat Jordan
C. Maria Keet South Africa
Mohammad Alnabhan Jordan
Clauirton Siebra Brazil
Hyuckchul Jung United States
Muhammad Bilal Amin Australia
Kostas Stathis United Kingdom
Genny Tortora Italy
Muhammad Raza Naqvi relative to Hafiza Abas Malaysia Hafiza Abas's profile →
Citations per field
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Hafiza Abas · 1×
Citations per year

Countries citing papers authored by Muhammad Raza Naqvi

Since Specialization
Citations

This map shows the geographic impact of Muhammad Raza Naqvi'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 Raza Naqvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Raza Naqvi more than expected).

Fields of papers citing papers by Muhammad Raza Naqvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Raza Naqvi. 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 Raza Naqvi. The network helps show where Muhammad Raza Naqvi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Muhammad Raza Naqvi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Raza Naqvi Line = papers co-authored together Muhammad Raza Naqvi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202419
3 20231
4 20221
5 202131
6 20212
7 20212
8 20212
9 202110
10 202119
11 202110
12 202117
13 20217
14 202017
15 202016
16 202014
17 202014
18 202020
19 20196
20 20055

About Muhammad Raza Naqvi

Muhammad Raza Naqvi is a scholar working on Health Information Management, Human Factors and Ergonomics and Information Systems and Management, having authored 41 papers that have together received 364 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Artificial Intelligence in Healthcare (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Context-Aware Activity Recognition Systems (3 papers), Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Personal Information Management and User Behavior (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Information Management (32 citations), Human Factors and Ergonomics (11 citations) and Computer Networks and Communications (93 citations). Muhammad Raza Naqvi has collaborated with scholars based in Pakistan, France and United States. Frequent co-authors include Muhammad Waseem Iqbal, Syed Khuram Shahzad, Saif Zahir, Muhammad Usman Tahir, Muhammad Adnan Khan, Faheem Khan, Muhammad Aslam, Taeg Keun Whangbo, Mohamed Hedi Karray and Bernard Archimède. Their work appears in journals such as Journal of Clinical Oncology, IEEE Access and Sustainability.

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.

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