Sri Hartati
- Information Systems top 1%
- Artificial Intelligence top 2%
- Management Information Systems top 1%
- Strategy and Management top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Agus HarjokoRetantyo WardoyoSri KusumadewiAina MusdholifahArry Akhmad ArmanErmatita ErmatitaEdy IrwansyahKuwat Trıyana
- Topics
- Edcuational Technology Systems (51 papers)Decision Support System Applications (36 papers)Data Mining and Machine Learning Applications (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Soft Computing
- Partner nations
- IndonesiaAzerbaijanMalaysia
In The Last Decade
Sri Hartati
203 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 153
- Information Systems 682
- Artificial Intelligence 627
- Management Information Systems 438
- Strategy and Management 173
- Computer Vision and Pattern Recognition 163
Countries citing papers authored by Sri Hartati
This map shows the geographic impact of Sri Hartati'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 Sri Hartati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sri Hartati more than expected).
Fields of papers citing papers by Sri Hartati
This network shows the impact of papers produced by Sri Hartati. 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 Sri Hartati. The network helps show where Sri Hartati may publish in the future.
Co-authorship network of co-authors of Sri Hartati
This figure shows the co-authorship network connecting the top 25 collaborators of Sri Hartati. A scholar is included among the top collaborators of Sri Hartati 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 Sri Hartati. Sri Hartati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Tourist Visits Prediction with Fully Recurrent Neural Network | 2 |
| 9 | 10 | |
| 10 | Optimalisasi Waktu Dan Biaya Menggunakan Metode Least Cost Analysis Pada Proyek Peningkatan Jalan Lingkar Kota Dumai | 5 |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | Line Segmentation of Javanese Image of Manuscripts in Javanese Scripts | 2 |
| 19 | 10 | |
| 20 | Animasi Dan Visualisasi Eksperimen Bandul Matematis Dan Pegas Dengan Bahasa Pemrograman Turbo Pascal | 1 |
About Sri Hartati
Sri Hartati is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 241 papers that have together received 1.6k indexed citations. Recurring topics across this work include Edcuational Technology Systems (51 papers), Decision Support System Applications (36 papers) and Data Mining and Machine Learning Applications (18 papers). The work is most often cited by research in Management Information Systems (438 citations), Information Systems (682 citations) and Artificial Intelligence (627 citations). Sri Hartati has collaborated with scholars based in Indonesia, Azerbaijan and Malaysia. Frequent co-authors include Agus Harjoko, Retantyo Wardoyo, Sri Kusumadewi, Aina Musdholifah, Arry Akhmad Arman, Ermatita Ermatita, Edy Irwansyah, Kuwat Trıyana, Suyanto Suyanto and Andri Prima Nugroho. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.
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.