Muhammad Abdulkarim

420 citations
9 papers · 181 · 1 hit paper · h-index 3

Impact in

Papers in

Muhammad Abdulkarim

8 papers receiving 171 citations

Muhammad Abdulkarim's Hit Papers

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Muhammad Abdulkarim
Comparison fields: 5 of 90
  • Health Informatics 23
  • Health Information Management 18
  • Research and Theory 1
  • Applied Microbiology and Biotechnology 2
  • Computer Networks and Communications 21
Replace Aliyu Garba with:
Aliyu Garba Nigeria
Jeffrey Tully United States
Amir Bahmani United States
Marzia Hoque Tania United Kingdom
Hamed Hassanzadeh Australia
Arjun Panesar United Kingdom
Andrea Ippolito United States
Ali Raad Lebanon
Mohammad Moshawrab Lebanon
Mohammad Adibuzzaman United States
Muhammad Abdulkarim relative to Aliyu Garba Nigeria Aliyu Garba's profile →
Citations per field
00.5×1.5×
Aliyu Garba · 1×
Citations per year

Countries citing papers authored by Muhammad Abdulkarim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Abdulkarim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Muhammad Abdulkarim, 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 Abdulkarim Line = papers co-authored together Muhammad Abdulkarim links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey
Hit paper breakdown →
2022121
2 202245
3 202210
4 20111
5 20141
6 20141
7 20121
8 20121
9 20140

About Muhammad Abdulkarim

Muhammad Abdulkarim is a scholar working on Oceanography, Geophysics, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 9 papers that have together received 181 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (4 papers), Underwater Acoustics Research (4 papers), Non-Invasive Vital Sign Monitoring (2 papers), Blind Source Separation Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), COVID-19 diagnosis using AI (1 paper), Internet of Things and AI (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (18 citations), Research and Theory (1 citation), Applied Microbiology and Biotechnology (2 citations) and Computer Networks and Communications (21 citations). Muhammad Abdulkarim has collaborated with scholars based in Malaysia, United Arab Emirates and Nigeria. Frequent co-authors include Abdullahi Abubakar Imam, Mohammed Abdullahi, Aliyu Garba, Ganesh Kumar, Bashir Abubakar Abdulkadir, Aliyu Nuhu Shuaibu, Abdullateef Oluwagbemiga Balogun, Liyanage C. De Silva, Saipunidzam Mahamad and Ahmad Sobri Hashim. Their work appears in journals such as Applied Sciences, Healthcare and AIP conference proceedings.

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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