Derwin Suhartono
Impact in
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Edcuational Technology Systems
- Natural Language Processing Techniques
- Information Systems top 2%
- Data Mining and Machine Learning Applications
Papers in
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- Sentiment Analysis and Opinion Mining 36
- Topic Modeling 26
- Advanced Text Analysis Techniques 24
- Edcuational Technology Systems 15
- Natural Language Processing Techniques 13
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- Data Mining and Machine Learning Applications 16
- Co-authors
- Hans Christian (2 shared papers)Andry Chowanda (2 shared papers)Rini Wongso (3 shared papers)Alexander Agung Santoso Gunawan (5 shared papers)Widodo Budiharto (5 shared papers)Kamal Z. Zamli (1 shared paper)Muhammad Yasin (1 shared paper)Muhamad Nanang Suprayogi (1 shared paper)
In The Last Decade
Derwin Suhartono
140 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 727
- Information Systems 360
- Social Psychology 226
- Clinical Psychology 219
- Signal Processing 108
Countries citing papers authored by Derwin Suhartono
This map shows the geographic impact of Derwin Suhartono'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 Derwin Suhartono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derwin Suhartono more than expected).
Fields of papers citing papers by Derwin Suhartono
This network shows the impact of papers produced by Derwin Suhartono. 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 Derwin Suhartono. The network helps show where Derwin Suhartono may publish in the future.
Co-authors
The 25 scholars most cited alongside Derwin Suhartono, 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 172 | |
| 2 | 2017 | 118 | |
| 3 | 2021 | 87 | |
| 4 | 2019 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2021 | 53 | |
| 7 | 2018 | 35 | |
| 8 | 2021 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2023 | 32 | |
| 11 | Artificial Intelligence Konsep dan Penerapannya | 2014 | 29 |
| 12 | 2017 | 26 | |
| 13 | 2018 | 26 | |
| 14 | 2023 | 25 | |
| 15 | 2021 | 25 | |
| 16 | 2015 | 23 | |
| 17 | 2023 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 18 | |
| 20 | 2022 | 17 |
About Derwin Suhartono
Derwin Suhartono is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Social Psychology and Clinical Psychology, having authored 173 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (36 papers), Topic Modeling (26 papers), Advanced Text Analysis Techniques (24 papers), Data Mining and Machine Learning Applications (16 papers), Edcuational Technology Systems (15 papers), Personality Traits and Psychology (13 papers), Natural Language Processing Techniques (13 papers) and Mental Health via Writing (10 papers). The work is most often cited by research in Artificial Intelligence (727 citations), Information Systems (360 citations), Social Psychology (226 citations), Clinical Psychology (219 citations) and Signal Processing (108 citations). Derwin Suhartono has collaborated with scholars based in Indonesia, France and Malaysia. Frequent co-authors include Hans Christian, Andry Chowanda, Rini Wongso, Alexander Agung Santoso Gunawan, Widodo Budiharto, Kamal Z. Zamli, Muhammad Yasin, Muhamad Nanang Suprayogi, Kartika Purwandari and Linda Linda. Their work appears in journals such as Journal Of Big Data, IEEE Access, Data in Brief, Education and Information Technologies and Journal Européen des Systèmes Automatisés.
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.