Daniel Siahaan

1.3k total citations
163 papers, 894 citations indexed

About

Daniel Siahaan is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Daniel Siahaan has authored 163 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Information Systems, 71 papers in Artificial Intelligence and 23 papers in Management Information Systems. Recurrent topics in Daniel Siahaan's work include Software Engineering Research (52 papers), Software Engineering Techniques and Practices (33 papers) and Edcuational Technology Systems (24 papers). Daniel Siahaan is often cited by papers focused on Software Engineering Research (52 papers), Software Engineering Techniques and Practices (33 papers) and Edcuational Technology Systems (24 papers). Daniel Siahaan collaborates with scholars based in Indonesia, Australia and France. Daniel Siahaan's co-authors include Chastine Fatichah, Evi Triandini, Indra Kharisma Raharjana, Arif Djunaidy, Siti Rochimah, Nanik Suciati, Tony Dwi Susanto, Umi Laili Yuhana, Riyanarto Sarno and Achmad Nizar Hidayanto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Daniel Siahaan

138 papers receiving 832 citations

Peers

Daniel Siahaan
Daniel Siahaan
Citations per year, relative to Daniel Siahaan Daniel Siahaan (= 1×) peers David Lizcano

Countries citing papers authored by Daniel Siahaan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Siahaan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Siahaan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Siahaan. A scholar is included among the top collaborators of Daniel Siahaan 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 Daniel Siahaan. Daniel Siahaan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Siahaan, Daniel, et al.. (2025). Sentiment Analysis of Meme Images Using Deep Neural Network Based on Keypoint Representation. Informatics. 12(4). 118–118.
3.
Yuhana, Umi Laili, et al.. (2024). Disruptive Higher Education: Will Lecturers Be Replaced by Technologies. 511–516.
4.
Rochimah, Siti, et al.. (2024). Modeling Traceability Between Requirements and Coding Using the Property Listing Task. IEEE Access. 12. 129274–129289.
5.
Siahaan, Daniel, et al.. (2024). A Systematic Literature Review on Requirement Validation of Agile Requirement Engineering. 329–334. 1 indexed citations
6.
Siahaan, Daniel, et al.. (2023). Automated Detection of Persuasive Content in Electronic News. Informatics. 10(4). 86–86.
7.
Siahaan, Daniel, Indra Kharisma Raharjana, & Chastine Fatichah. (2023). User story extraction from natural language for requirements elicitation: Identify software-related information from online news. Information and Software Technology. 158. 107195–107195. 11 indexed citations
8.
Rochimah, Siti, et al.. (2023). SQL And NoSQL Object Database Mapping to Support CRUD Operation. 279–284.
9.
Siahaan, Daniel, et al.. (2023). A Systematic Literature Review on Blockchain Technology in Software Engineering. SHILAP Revista de lepidopterología. 7(1). 38–49. 3 indexed citations
10.
11.
Siahaan, Daniel, et al.. (2023). SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset. Data in Brief. 52. 109998–109998. 3 indexed citations
12.
Djunaidy, Arif, et al.. (2022). Aspect-based Extraction of Implicit Opinions using Opinion Co-occurrence Algorithm. 3. 781–786. 1 indexed citations
13.
Siahaan, Daniel, et al.. (2022). DeepLontar dataset for handwritten Balinese character detection and syllable recognition on Lontar manuscript. Scientific Data. 9(1). 761–761. 5 indexed citations
14.
Triandini, Evi, et al.. (2021). Software similarity measurements using UML diagrams: A systematic literature review. 8(1). 10–10. 17 indexed citations
15.
Siahaan, Daniel, et al.. (2018). Aplikasi Web Manajemen Penjualan Air Galon Menggunakan Metode Just In Time. Jurnal Teknik ITS. 7(1). 1 indexed citations
16.
Siahaan, Daniel, et al.. (2017). Ekstraksi Fitur Produk Perangkat Lunak Dari Data Opini Pengguna. 14(1). 40–51. 1 indexed citations
17.
Siahaan, Daniel, et al.. (2016). Ekstraksi Fitur dari Dokumen Spesifikasi Kebutuhan Perangkat Lunak. 2. 1 indexed citations
18.
Siahaan, Daniel, et al.. (2015). PENDETEKSIAN ISTILAH BERBEDA PADA DOKUMEN SPESIFIKASI KEBUTUHAN PERANGKAT LUNAK (SKPL). 10(3). 3 indexed citations
19.
Kurniawan, Adi, et al.. (2013). Sistem Promosi Pariwisata Menggunakan Ontologi. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Siahaan, Daniel, et al.. (2013). Web-Based Tsunami Early Warning System. Center for Scientific Publication (Institut Teknologi Sepuluh Nopember (ITS)). 24(3). 2 indexed citations

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.

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