Saib Suwilo

426 citations
64 papers · 259 · h-index 10

Impact in

    • Data Mining and Machine Learning Applications
    • Multimedia Learning Systems
    • Information Retrieval and Data Mining
    • Edcuational Technology Systems
    • Computer Science and Engineering

Papers in

Saib Suwilo

50 papers receiving 227 citations

Peers

Saib Suwilo
Comparison fields: 5 of 86
  • Information Systems 80
  • Artificial Intelligence 83
  • Discrete Mathematics and Combinatorics 8
  • Management Information Systems 21
  • Computational Theory and Mathematics 35
Replace Eladio Domínguez with:
Eladio Domínguez Spain
D. Ezhilmaran India
Lenardo Chaves e Silva Brazil
Wenguo Yang China
Calvin S. H. Hoi Canada
Hao Qian China
Kwok Ching Tsui Hong Kong
Maiko Shigeno Japan
Rajesh Bose India
Saib Suwilo relative to Eladio Domínguez Spain Eladio Domínguez's profile →
Citations per field
00.5×11.7×
Eladio Domínguez · 1×
Citations per year

Countries citing papers authored by Saib Suwilo

Since Specialization
Citations

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

Fields of papers citing papers by Saib Suwilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Saib Suwilo, 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 Saib Suwilo Line = papers co-authored together Saib Suwilo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201821
2 201821
3 200320
4 202018
5 201915
6 202012
7 202011
8 201811
9
Modelling Infectious Disease in Dynamic Networks Considering Vaccine
20209
10 20189
11 20199
12 20198
13 20178
14 20148
15 20236
16 20196
17 20226
18 20184
19 20204
20 20203

About Saib Suwilo

Saib Suwilo is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 64 papers that have together received 259 indexed citations. Recurring topics across this work include Computer Science and Engineering (8 papers), Data Mining and Machine Learning Applications (8 papers), graph theory and CDMA systems (8 papers), Optimization and Mathematical Programming (7 papers), Advanced Graph Theory Research (7 papers), Edcuational Technology Systems (6 papers), Graph Labeling and Dimension Problems (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Information Systems (80 citations), Artificial Intelligence (83 citations), Discrete Mathematics and Combinatorics (8 citations), Management Information Systems (21 citations) and Computational Theory and Mathematics (35 citations). Saib Suwilo has collaborated with scholars based in Indonesia, United States and Malaysia. Frequent co-authors include Muhammad Zarlis, Herman Mawengkang, Tulus Tulus, Syahril Efendi, Dahlan Abdullah, Bryan L. Shader, Hartono Hartono, Erna Budhiarti Nababan, Sawaluddin Sawaluddin and Opim Salim Sitompul. Their work appears in journals such as Linear Algebra and its Applications, Mathematika, International Journal on Advanced Science Engineering and Information Technology, Systematic Reviews in Pharmacy and Logforum.

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.

Explore authors with similar magnitude of impact