Titin Siswantining
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Education
- Health Information Management top 5%
- Co-authors
- Alhadi BustamamZuherman RustamDevvi SarwindaArfive GandhiHarry Budi SantosoPanca O. Hadi PutraKasiyah JunusNoverita Dian Takarina
- Topics
- Gene expression and cancer classification (30 papers)Machine Learning in Bioinformatics (19 papers)Bioinformatics and Genomic Networks (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaSymmetryMathematics
In The Last Decade
Titin Siswantining
66 papers receiving 380 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 123
- Molecular Biology 92
- Information Systems 74
- Education 49
- Health Information Management 39
Countries citing papers authored by Titin Siswantining
This map shows the geographic impact of Titin Siswantining'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 Titin Siswantining with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Titin Siswantining more than expected).
Fields of papers citing papers by Titin Siswantining
This network shows the impact of papers produced by Titin Siswantining. 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 Titin Siswantining. The network helps show where Titin Siswantining may publish in the future.
Co-authorship network of co-authors of Titin Siswantining
This figure shows the co-authorship network connecting the top 25 collaborators of Titin Siswantining. A scholar is included among the top collaborators of Titin Siswantining based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Titin Siswantining. Titin Siswantining is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | Sequence-based Prediction of Pathogen-host Interaction Using an Ensemble Learning Classifier and Moran Autocorrelation Feature Encoding Method | 2 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | Classification of thalassemia data using K-nearest neighbor and Naïve Bayes | 3 |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 1 |
About Titin Siswantining
Titin Siswantining is a scholar working on Health Information Management, Artificial Intelligence and Statistics and Probability, having authored 76 papers that have together received 394 indexed citations. Recurring topics across this work include Gene expression and cancer classification (30 papers), Machine Learning in Bioinformatics (19 papers) and Bioinformatics and Genomic Networks (15 papers). The work is most often cited by research in Health Information Management (39 citations), Artificial Intelligence (123 citations) and Information Systems (74 citations). Titin Siswantining has collaborated with scholars based in Indonesia, Canada and Cyprus. Frequent co-authors include Alhadi Bustamam, Zuherman Rustam, Devvi Sarwinda, Arfive Gandhi, Harry Budi Santoso, Panca O. Hadi Putra, Kasiyah Junus, Noverita Dian Takarina, Jacub Pandelaki and Kiki Ariyanti Sugeng. Their work appears in journals such as SHILAP Revista de lepidopterología, Symmetry and Mathematics.
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.