Suwardi Annas

76 total papers · 704 total citations
34 papers, 410 citations indexed

About

Suwardi Annas is a scholar working on Information Systems, Artificial Intelligence and Marketing. According to data from OpenAlex, Suwardi Annas has authored 34 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 10 papers in Artificial Intelligence and 4 papers in Marketing. Recurrent topics in Suwardi Annas's work include Data Mining and Machine Learning Applications (13 papers), Edcuational Technology Systems (7 papers) and COVID-19 epidemiological studies (4 papers). Suwardi Annas is often cited by papers focused on Data Mining and Machine Learning Applications (13 papers), Edcuational Technology Systems (7 papers) and COVID-19 epidemiological studies (4 papers). Suwardi Annas collaborates with scholars based in Indonesia, Malaysia and Japan. Suwardi Annas's co-authors include Wahidah Sanusi, Syafruddin Side, Muhammad Isbar Pratama, Muh. Rifandi, Syafruddin Side, Unang Supratman, Abdul Malik, Takuya Koseki, Yoshihito Shiono and Desi Harneti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Advances in Difference Equations.

In The Last Decade

Suwardi Annas

32 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Suwardi Annas	246	127	80	66	38	34	410
Francesco Sanmarchi	65 0.3×	94 0.7×	51 0.6×	29 0.4×	34 0.9×	48	491
Nathalia González-Jaramillo	145 0.6×	85 0.7×	73 0.9×	74 1.1×	10 0.3×	24	389
Syafruddin Side	272 1.1×	160 1.3×	80 1.0×	54 0.8×	42 1.1×	41	399
Balvinder Singh Gill	196 0.8×	191 1.5×	129 1.6×	74 1.1×	28 0.7×	43	443
Zsolt Vizi	227 0.9×	81 0.6×	105 1.3×	91 1.4×	17 0.4×	15	394
Sarbaz H. A. Khoshnaw	311 1.3×	205 1.6×	86 1.1×	57 0.9×	15 0.4×	31	424
Yu-Tsen Yeh	73 0.3×	64 0.5×	38 0.5×	37 0.6×	10 0.3×	26	379
Xiaojing Cai	52 0.2×	33 0.3×	43 0.5×	103 1.6×	17 0.4×	37	429
Sayani Adak	309 1.3×	181 1.4×	104 1.3×	74 1.1×	11 0.3×	13	382
Jeremy Ratcliff	56 0.2×	25 0.2×	132 1.6×	27 0.4×	20 0.5×	15	462

Countries citing papers authored by Suwardi Annas

Since Specialization

Citations

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

Fields of papers citing papers by Suwardi Annas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwardi Annas

This figure shows the co-authorship network connecting the top 25 collaborators of Suwardi Annas. A scholar is included among the top collaborators of Suwardi Annas 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 Suwardi Annas. Suwardi Annas 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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