Muhammad Attique

1.9k citations
46 papers · 1.2k · 1 hit paper · h-index 20

Impact in

Papers in

Muhammad Attique

44 papers receiving 1.1k citations

Hit Papers

An intelligent healthcare monitoring framework using wearable sensors and social networking data 2020 · 241 citations
2410+2+4Years since publication50100150200

Peers

Muhammad Attique
Comparison fields: 5 of 130
  • Health Information Management 108
  • Computer Vision and Pattern Recognition 325
  • Artificial Intelligence 436
  • Computer Networks and Communications 304
  • Signal Processing 122
Replace Sabah Mohammed with:
Sabah Mohammed Canada
Liang Hong China
Beakcheol Jang South Korea
A. M. Rıad Egypt
Yonglong Luo China
Khandakar Ahmed Australia
Zaher Al Aghbari United Arab Emirates
Mehrdad Rostami Finland
Agostino Forestiero Italy
Stefan Rüping Germany
Muhammad Attique relative to Sabah Mohammed Canada Sabah Mohammed's profile →
Citations per field
00.5×2.6×
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 46 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 →
2020241
2 2020199
3 202094
4 202084
5 202144
6 202242
7 202139
8 201938
9 202235
10 202232
11 202431
12 202126
13 202125
14 202124
15 201924
16 202023
17 202022
18 202022
19 202221
20 202021

About Muhammad Attique

Muhammad Attique is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Geographic Information Systems Studies (6 papers), IoT and Edge/Fog Computing (6 papers), Advanced Database Systems and Queries (6 papers), Automated Road and Building Extraction (5 papers), Advanced Data Storage Technologies (5 papers), Face and Expression Recognition (3 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Health Information Management (108 citations), Computer Vision and Pattern Recognition (325 citations), Artificial Intelligence (436 citations), Computer Networks and Communications (304 citations) and Signal Processing (122 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, Shaker El–Sappagh, S. M. Riazul Islam, Amjad Ali, Kyung Sup Kwak, Muhammad Adil and Tae‐Sun Chung. Their work appears in journals such as IEEE Access, Sensors, Journal of King Saud University - Computer and Information Sciences, Electronics and ISPRS International Journal of Geo-Information.

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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