Tulus Tulus
Impact in
- Information Systems top 5%
- Data Mining and Machine Learning Applications
- Multimedia Learning Systems
- Information Retrieval and Data Mining
- Management Information Systems top 10%
- Decision Support System Applications
Papers in
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- Data Mining and Machine Learning Applications 21
- Multimedia Learning Systems 10
- Information Retrieval and Data Mining 8
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- Edcuational Technology Systems 17
- Computer Science and Engineering 11
- Co-authors
- Opim Salim Sitompul (10 shared papers)Erna Budhiarti Nababan (13 shared papers)Hartono Hartono (8 shared papers)Muhammad Zarlis (30 shared papers)Dahlan Abdullah (7 shared papers)Syahril Efendi (14 shared papers)Saib Suwilo (9 shared papers)Herman Mawengkang (17 shared papers)
In The Last Decade
Tulus Tulus
118 papers receiving 505 citations
Peers
Comparison fields: 5 of 113
- Information Systems 202
- Management Information Systems 48
- Artificial Intelligence 172
- Health Information Management 19
- Management Science and Operations Research 30
Countries citing papers authored by Tulus Tulus
This map shows the geographic impact of Tulus Tulus'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 Tulus Tulus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tulus Tulus more than expected).
Fields of papers citing papers by Tulus Tulus
This network shows the impact of papers produced by Tulus Tulus. 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 Tulus Tulus. The network helps show where Tulus Tulus may publish in the future.
Co-authors
The 25 scholars most cited alongside Tulus Tulus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2017 | 37 | |
| 3 | 2018 | 25 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2019 | 7 |
About Tulus Tulus
Tulus Tulus is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Management Information Systems and Strategy and Management, having authored 144 papers that have together received 556 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (21 papers), Edcuational Technology Systems (17 papers), Decision Support System Applications (12 papers), Computer Science and Engineering (11 papers), Management and Optimization Techniques (10 papers), Multimedia Learning Systems (10 papers), Information Retrieval and Data Mining (8 papers) and Optimization and Mathematical Programming (8 papers). The work is most often cited by research in Information Systems (202 citations), Management Information Systems (48 citations), Artificial Intelligence (172 citations), Health Information Management (19 citations) and Management Science and Operations Research (30 citations). Tulus Tulus has collaborated with scholars based in Indonesia, Malaysia and Germany. Frequent co-authors include Opim Salim Sitompul, Erna Budhiarti Nababan, Hartono Hartono, Muhammad Zarlis, Dahlan Abdullah, Syahril Efendi, Saib Suwilo, Herman Mawengkang, Sawaluddin Sawaluddin and Poltak Sihombing. Their work appears in journals such as Macromolecular Symposia, IEEE Access, Mathematical Modelling and Engineering Problems, International Journal on Advanced Science Engineering and Information Technology and Systematic Reviews in Pharmacy.
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.