Saib Suwilo

129 total papers · 416 total citations
63 papers, 247 citations indexed

About

Saib Suwilo is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Saib Suwilo has authored 63 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 15 papers in Artificial Intelligence and 15 papers in Computational Theory and Mathematics. Recurrent topics in Saib Suwilo's work include Computer Science and Engineering (8 papers), graph theory and CDMA systems (8 papers) and Data Mining and Machine Learning Applications (8 papers). Saib Suwilo is often cited by papers focused on Computer Science and Engineering (8 papers), graph theory and CDMA systems (8 papers) and Data Mining and Machine Learning Applications (8 papers). Saib Suwilo collaborates with scholars based in Indonesia, Malaysia and United States. Saib Suwilo's co-authors include Muhammad Zarlis, Herman Mawengkang, Tulus Tulus, Syahril Efendi, Dahlan Abdullah, Bryan L. Shader, Hartono Hartono, Erna Budhiarti Nababan, Sawaluddin Sawaluddin and Opim Salim Sitompul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Linear Algebra and its Applications and Mathematika.

In The Last Decade

Saib Suwilo

48 papers receiving 218 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Saib Suwilo	79	77	36	35	23	63	247
Rd. Rohmat Saedudin	123 1.6×	98 1.3×	22 0.6×	14 0.4×	26 1.1×	74	325
Lukman Ab. Rahim	82 1.0×	108 1.4×	18 0.5×	17 0.5×	9 0.4×	55	259
T. Radhakrishnan	70 0.9×	81 1.1×	28 0.8×	28 0.8×	9 0.4×	40	296
Yan Liang	30 0.4×	49 0.6×	18 0.5×	92 2.6×	41 1.8×	51	234
Ilias Κ. Savvas	111 1.4×	74 1.0×	12 0.3×	18 0.5×	19 0.8×	52	299
Arwin Datumaya Wahyudi Sumari	92 1.2×	31 0.4×	34 0.9×	31 0.9×	51 2.2×	83	253
Abedallah Zaid Abualkishik	77 1.0×	117 1.5×	26 0.7×	12 0.3×	31 1.3×	47	317
Jan Newmarch	86 1.1×	86 1.1×	27 0.8×	8 0.2×	27 1.2×	36	233
Luiz Alberto Vieira Dias	85 1.1×	96 1.2×	8 0.2×	13 0.4×	21 0.9×	67	257
Rajiv Kumar	58 0.7×	63 0.8×	25 0.7×	6 0.2×	17 0.7×	42	250

Countries citing papers authored by Saib Suwilo

Since Specialization

Citations

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

Fields of papers citing papers by Saib Suwilo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saib Suwilo

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

All Works

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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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