T. Basaruddin

523 citations
39 papers · 367 · h-index 10

Impact in

Papers in

T. Basaruddin

35 papers receiving 347 citations

Peers

T. Basaruddin
Comparison fields: 5 of 84
  • Experimental and Cognitive Psychology 116
  • Pharmacy 37
  • Computer Vision and Pattern Recognition 147
  • Signal Processing 54
  • Artificial Intelligence 118
Replace Tsang-Long Pao with:
Tsang-Long Pao Taiwan
Guanming Lu China
Antonio Origlia Italy
Ciprian Corneanu Spain
Gloria Zen Italy
Roman Jarina Slovakia
Suman Deb India
Dewi Yanti Liliana Indonesia
Anastasis Kounoudes Greece
T. Basaruddin relative to Tsang-Long Pao Taiwan Tsang-Long Pao's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by T. Basaruddin

Since Specialization
Citations

This map shows the geographic impact of T. Basaruddin'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 T. Basaruddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Basaruddin more than expected).

Fields of papers citing papers by T. Basaruddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 202038
3 201423
4 201619
5 201119
6 201917
7 201613
8 201712
9 201212
10 202010
11 20189
12 20129
13 20188
14 20138
15 20198
16 20126
17 20176
18 20196
19 20186
20 20155

About T. Basaruddin

T. Basaruddin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Social Psychology and Cognitive Neuroscience, having authored 39 papers that have together received 367 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Emotion and Mood Recognition (9 papers), Face recognition and analysis (9 papers), Advanced Steganography and Watermarking Techniques (3 papers), Computer Science and Engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers), ECG Monitoring and Analysis (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (116 citations), Pharmacy (37 citations), Computer Vision and Pattern Recognition (147 citations), Signal Processing (54 citations) and Artificial Intelligence (118 citations). T. Basaruddin has collaborated with scholars based in Indonesia, Singapore and United States. Frequent co-authors include Dewi Yanti Liliana, M. Rahmat Widyanto, Adila Alfa Krisnadhi, Wisnu Jatmiko, Mohamad Ivan Fanany, Aniati Murni Arymurthy, Harry Budi Santoso, Martin Schrepp, R. Yugo Kartono Isal and Setiadi Yazid. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, Data in Brief, International Journal of Image and Data Fusion and International Journal on Smart Sensing and Intelligent Systems.

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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