Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Challenges and Trends of Financial Technology (Fintech): A Systematic Literature Review
2020203 citationsRyan Randy Suryono, Indra Budi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Indra Budi'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 Indra Budi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indra Budi more than expected).
This network shows the impact of papers produced by Indra Budi. 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 Indra Budi. The network helps show where Indra Budi may publish in the future.
Co-authorship network of co-authors of Indra Budi
This figure shows the co-authorship network connecting the top 25 collaborators of Indra Budi.
A scholar is included among the top collaborators of Indra Budi 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 Indra Budi. Indra Budi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Budi, Indra, et al.. (2020). Aspect-based Sentiment Analysis on Indonesia’s Tourism Destinations Based on Google Maps User Code-Mixed Reviews (Study Case: Borobudur and Prambanan Temples). Pacific Asia Conference on Language, Information, and Computation. 359–367.7 indexed citations
9.
Santoso, Harry Budi, et al.. (2020). Aplikasi Pariwisata Jombang Berbasis Android Mengunakan Metode Haversine Formula. 4(1). 2484–2490.
10.
Budi, Indra, et al.. (2019). ANALISIS KINERJA ALGORITMA SUPPORT VECTOR MACHINE (SVM) PADA DATA SELEKSI PENERIMA BEASISWA MENGGUNAKAN PARTICLE SWARM OPTIMIZATION (PSO) (STUDI KASUS: POLITEKNIK TEDC BANDUNG). 13(1). 1–11.2 indexed citations
11.
Budi, Indra, et al.. (2017). SEGMENTASI PELANGGAN PADA CUSTOMER RELATIONSHIP MANAGEMENT DI PERUSAHAAN RITEL: STUDI KASUS PT GRAMEDIA ASRI MEDIA. SHILAP Revista de lepidopterología.10 indexed citations
12.
Budi, Indra, et al.. (2017). ANALISIS PENGUKURAN TINGKAT KESIAPAN PENERAPAN MANAJEMEN PENGETAHUAN: STUDI KASUS BADAN PENDIDIKAN DAN PELATIHAN KEUANGAN, KEMENTERIAN KEUANGAN. SHILAP Revista de lepidopterología.1 indexed citations
Budi, Indra, et al.. (2016). Analisis Pengukuran Tingkat Kesiapan Knowledge Management: Studi Kasus Pusat Pengolahan Data dan Informasi Badan Koordinasi Penanaman Modal. Seminar Nasional Aplikasi Teknologi Informasi (SNATI).6 indexed citations
16.
Budi, Indra, et al.. (2013). Sistem Rekapitulasi Dokumen Perundang-Undangan Indonesia. Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 1(1). 130911.
17.
Widodo, Agus & Indra Budi. (2012). Multi layer Kernel Learning for time series forecasting. 313–318.4 indexed citations
Widodo, Agus & Indra Budi. (2011). Model selection for time series forecasting using similarity measure. 221–226.1 indexed citations
20.
Budi, Indra, et al.. (2006). EFEKTIFITAS SELEKSI FITUR DALAM SISTEM TEMU-KEMBALI INFORMASI. Seminar Nasional Aplikasi Teknologi Informasi (SNATI).1 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.