Sulthoni Sulthoni

69 total papers · 795 total citations
52 papers, 516 citations indexed

About

Sulthoni Sulthoni is a scholar working on Education, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sulthoni Sulthoni has authored 52 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Education, 35 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Sulthoni Sulthoni's work include Educational Methods and Media Use (31 papers), STEM Education (12 papers) and Educational Curriculum and Learning Methods (10 papers). Sulthoni Sulthoni is often cited by papers focused on Educational Methods and Media Use (31 papers), STEM Education (12 papers) and Educational Curriculum and Learning Methods (10 papers). Sulthoni Sulthoni collaborates with scholars based in Indonesia and United States. Sulthoni Sulthoni's co-authors include Saida Ulfa, Punaji Setyosarı, I Kadek Suartama, Sulton Sulton, Eka Pramono Adi, Yerry Soepriyanto, Dedi Kuswandi, Agus Wedi, Susilaningsih Susilaningsih and Andi Irawan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Emerging Technologies in Learning (iJET) and International Journal of Instruction.

In The Last Decade

Sulthoni Sulthoni

48 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
Sulthoni Sulthoni 411 303 44 35 33 52 516
I Kadek Suartama 408 1.0× 228 0.8× 20 0.5× 29 0.8× 44 1.3× 59 501
Ence Surahman 362 0.9× 258 0.9× 41 0.9× 28 0.8× 36 1.1× 50 517
Yerry Soepriyanto 474 1.2× 331 1.1× 57 1.3× 53 1.5× 45 1.4× 101 604
Ika Lestari 342 0.8× 239 0.8× 20 0.5× 40 1.1× 43 1.3× 50 456
Ketut Agustini 304 0.7× 218 0.7× 73 1.7× 37 1.1× 44 1.3× 116 480
Wahyu Nur Hidayat 255 0.6× 243 0.8× 54 1.2× 44 1.3× 56 1.7× 102 502
Eko Risdianto 525 1.3× 268 0.9× 23 0.5× 55 1.6× 18 0.5× 81 590
Bramianto Setiawan 376 0.9× 149 0.5× 16 0.4× 58 1.7× 24 0.7× 45 471
Ni Made Ratminingsih 419 1.0× 283 0.9× 20 0.5× 23 0.7× 98 3.0× 88 565
Sulton Sulton 371 0.9× 214 0.7× 35 0.8× 54 1.5× 27 0.8× 69 486

Countries citing papers authored by Sulthoni Sulthoni

Since Specialization
Citations

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

Fields of papers citing papers by Sulthoni Sulthoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulthoni Sulthoni

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