Md. Khaliluzzaman

420 citations
63 papers · 196 · h-index 8

Impact in

Papers in

Md. Khaliluzzaman

52 papers receiving 187 citations

Peers

Md. Khaliluzzaman
Comparison fields: 5 of 61
  • Human-Computer Interaction 31
  • Computer Vision and Pattern Recognition 84
  • Media Technology 11
  • Signal Processing 11
  • Automotive Engineering 12
Replace Róbinson Jiménez Moreno with:
Róbinson Jiménez Moreno Colombia
Javier O. Pinzón-Arenas Colombia
Anastassia Angelopoulou United Kingdom
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Ashutosh Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Md. Khaliluzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Khaliluzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202316
2 201715
3 201714
4 201611
5 202310
6 20228
7 20167
8 20187
9 20166
10 20156
11 20175
12 20185
13 20195
14 20245
15 20154
16 20194
17 20244
18 20244
19 20184
20 20184

About Md. Khaliluzzaman

Md. Khaliluzzaman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 63 papers that have together received 196 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Hand Gesture Recognition Systems (8 papers), Human Pose and Action Recognition (6 papers), Tactile and Sensory Interactions (6 papers), Gait Recognition and Analysis (5 papers), Smart Agriculture and AI (5 papers), Face and Expression Recognition (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Human-Computer Interaction (31 citations), Computer Vision and Pattern Recognition (84 citations), Media Technology (11 citations), Signal Processing (11 citations) and Automotive Engineering (12 citations). Md. Khaliluzzaman has collaborated with scholars based in Bangladesh, South Korea and Malaysia. Frequent co-authors include Kaushik Deb, Kang-Hyun Jo, Md Junayed Hasan, Shahidul Islam Khan, Rezaul Karim, Md. Monirul Islam, Md. Rashedul Islam, Md. Saiful Islam, Tetsuya Shimamura and Pranab Kumar Dhar. Their work appears in journals such as Complexity, Journal of King Saud University - Computer and Information Sciences, IEEE Access, Sensors and International Journal of Information Technology.

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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