Muhammad Raisul Alam

30 papers receiving 1.0k citations

Hit Papers

A Review of Smart Homes—Past, Present, and Future20122026201620212012100200300400

Peers

Muhammad Raisul Alam
Comparison fields: 5 of 99
  • Electrical and Electronic Engineering 625
  • Computer Vision and Pattern Recognition 279
  • Control and Systems Engineering 274
  • Computer Networks and Communications 255
  • Information Systems 121
Replace Christer Åhlund with:
Christer Åhlund Sweden
Chao-Lin Wu Taiwan
Jae-Hyun Lim South Korea
Jinsoo Han South Korea
Mahesh Sooriyabandara United Kingdom
Saguna Saguna Sweden
Biljana Risteska Stojkoska North Macedonia
Mansoor Ali Pakistan
Fabio Arena Italy
Kire Trivodaliev North Macedonia
Muhammad Raisul Alam relative to Christer Åhlund Sweden Christer Åhlund's profile →
Citations per field
00.5×2.6×
Christer Åhlund · 1×
Citations per year

Countries citing papers authored by Muhammad Raisul Alam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Raisul Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Raisul Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Raisul Alam. A scholar is included among the top collaborators of Muhammad Raisul Alam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Raisul Alam. Muhammad Raisul Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 34
3 191
4 1
5 115
6 4
7 26
8 22
9 3
10 6
11 23
12 6
13
A Review of Smart Homes—Past, Present, and Futurebreakdown →
472
14 1
15
TEMPORAL MODELING OF HUMAN ACTIVITY IN SMART HOMES
1
16 6
17 72
18
Beyond the WiFi: Introducing RFID system using IPv6
20
19 13
20 6

About Muhammad Raisul Alam

Muhammad Raisul Alam is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (12 papers), Context-Aware Activity Recognition Systems (9 papers) and Microgrid Control and Optimization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Control and Systems Engineering (274 citations) and Computer Networks and Communications (255 citations). Muhammad Raisul Alam has collaborated with scholars based in Canada, Malaysia and Bangladesh. Frequent co-authors include Mohd Alauddin Mohd Ali, Mamun Bin Ibne Reaz, Thomas Kunz, Marc St‐Hilaire, Aini Hussain, Mohamad Hanif Md Saad, A. S. J. Swamidas, A. B. M. A. Kaish, M. A. Matin and M. Jamil. Their work appears in journals such as Applied Energy, IEEE Access and ACM Computing Surveys.

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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