Suwardi Annas

708 total citations
34 papers, 415 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 415 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, Muh. Rifandi, Muhammad Isbar Pratama, Syafruddin Side, Syafruddin Side, Unang Supratman, Keiko Watanabe, Rani Maharani, Takuya Koseki and Shiho Sato 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 404 citations

Peers

Suwardi Annas
Comparison fields: 5 of 92
  • Modeling and Simulation 247
  • Public Health, Environmental and Occupational Health 127
  • Infectious Diseases 80
  • Economics and Econometrics 68
  • Information Systems 38
Replace Aili Wang with:
Aili Wang China
Syafruddin Side Indonesia
Muhammad Isbar Pratama Indonesia
Jeremy Ratcliff United Kingdom
Nicholas Generous United States
Wahidah Sanusi Indonesia
Zsolt Vizi Hungary
Muh. Rifandi Indonesia
Balvinder Singh Gill Malaysia
Aili Wang China View profile →
Citations per field, relative to Suwardi Annas
Suwardi Annas · 1×
Citations per year, relative to Suwardi Annas
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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

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 5
4 1
5 2
6 41
7 6
8 1
9 265
10 1
11 5
12 11
13 3
14 4
15 3
16
PENGARUH KECERDASAN EMOSIONAL, EFIKASI DIRI, DAN MOTIVASI BERPRESTASI TERHADAP HASIL BELAJAR MATEMATIKA DITINJAU DARI GAYA BELAJAR SISWA
1
17 1
18 2
19 2
20
Analisis Faktor-faktor yang Mempengaruhi Kualitas Pelayanan Karyawan Perusahaan Daerah Sulawesi Selatan
1

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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