Muhammad Attique

2.0k citations
47 papers · 1.2k · 1 hit paper · h-index 20

Impact in

Papers in

Muhammad Attique

45 papers receiving 1.2k citations

Muhammad Attique's Hit Papers

An intelligent healthcare monitoring framework using wearable sensors and social networking data 2020 · 244 citations
2440+2+4Years since publication50100150200

Peers

Muhammad Attique
Comparison fields: 5 of 129
  • Health Information Management 110
  • Computer Vision and Pattern Recognition 332
  • Computer Networks and Communications 315
  • Artificial Intelligence 434
  • Signal Processing 126
Replace Sabah Mohammed with:
Sabah Mohammed Canada
Liang Hong China
Beakcheol Jang South Korea
A. M. Rıad Egypt
Khandakar Ahmed Australia
Zaher Al Aghbari United Arab Emirates
Muhammad Muzammal Pakistan
Mehrdad Rostami Finland
Agostino Forestiero Italy
Norah Saleh Alghamdi Saudi Arabia
Muhammad Attique relative to Sabah Mohammed Canada Sabah Mohammed's profile →
Citations per field
00.5×2.7×
Sabah Mohammed · 1×
Citations per year

Countries citing papers authored by Muhammad Attique

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Attique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Attique, 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 Attique Line = papers co-authored together Muhammad Attique links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Hit paper breakdown →
2020244
2 2020204
3 202095
4 202085
5 202146
6 202246
7 202242
8 202140
9 201938
10 202234
11 202432
12 202128
13 202128
14 202127
15 202024
16 202024
17 201924
18 202223
19 202023
20 202022

About Muhammad Attique

Muhammad Attique is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (7 papers), IoT and Edge/Fog Computing (6 papers), Geographic Information Systems Studies (6 papers), Automated Road and Building Extraction (5 papers), Advanced Data Storage Technologies (5 papers), Face and Expression Recognition (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Health Information Management (110 citations), Computer Vision and Pattern Recognition (332 citations), Computer Networks and Communications (315 citations), Artificial Intelligence (434 citations) and Signal Processing (126 citations). Muhammad Attique has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Muhammad Fazal Ijaz, Youngdoo Son, Muhammad Imran, Farman Ali, S. M. Riazul Islam, Shaker El–Sappagh, Amjad Ali, Ahmed Farouk, Tae‐Sun Chung and Khalil Khan. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, ISPRS International Journal of Geo-Information and Electronics.

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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