Mohammad Asikin

456 total citations
58 papers, 279 citations indexed

About

Mohammad Asikin is a scholar working on Education, Applied Mathematics and Information Systems. According to data from OpenAlex, Mohammad Asikin has authored 58 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Education, 44 papers in Applied Mathematics and 14 papers in Information Systems. Recurrent topics in Mohammad Asikin's work include Mathematics Education and Pedagogy (44 papers), STEM Education (36 papers) and Educational Methods and Outcomes (16 papers). Mohammad Asikin is often cited by papers focused on Mathematics Education and Pedagogy (44 papers), STEM Education (36 papers) and Educational Methods and Outcomes (16 papers). Mohammad Asikin collaborates with scholars based in Indonesia, Germany and France. Mohammad Asikin's co-authors include Adi Nur Cahyono, Zaenuri Zaenuri, Yohanes Leonardus Sukestiyarno, Matthias Ludwig, Miftahudin Miftahudin, Astuti Astuti, I Wayan Ruspendi Junaedi, Mulyono Mulyono, Stevanus Budi Waluya and Scolastika Mariani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematika and International Journal of Instruction.

In The Last Decade

Mohammad Asikin

49 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Asikin Indonesia 7 217 150 70 23 21 58 279
Hendra Erik Rudyanto Indonesia 10 242 1.1× 116 0.8× 109 1.6× 18 0.8× 20 1.0× 31 296
Siti Lailiyah Indonesia 9 203 0.9× 109 0.7× 99 1.4× 15 0.7× 18 0.9× 47 258
Yohanes Leonardus Sukestiyarno Indonesia 10 311 1.4× 169 1.1× 92 1.3× 38 1.7× 18 0.9× 65 397
Adi Nur Cahyono Indonesia 8 207 1.0× 107 0.7× 110 1.6× 44 1.9× 34 1.6× 64 310
Krida Singgih Kuncoro Indonesia 10 216 1.0× 113 0.8× 114 1.6× 18 0.8× 9 0.4× 48 262
Sariyasa Sariyasa Indonesia 9 235 1.1× 157 1.0× 111 1.6× 20 0.9× 17 0.8× 39 314
Mohammad Faizal Amir Indonesia 9 282 1.3× 172 1.1× 95 1.4× 17 0.7× 24 1.1× 53 321
I Made Ardana Indonesia 11 265 1.2× 172 1.1× 76 1.1× 17 0.7× 7 0.3× 59 306
Muhammad Daut Siagian Indonesia 6 277 1.3× 221 1.5× 94 1.3× 15 0.7× 5 0.2× 23 321
Jailani Md Yunos Malaysia 8 315 1.5× 43 0.3× 78 1.1× 40 1.7× 8 0.4× 38 369

Countries citing papers authored by Mohammad Asikin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Asikin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Asikin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Asikin. A scholar is included among the top collaborators of Mohammad Asikin 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 Mohammad Asikin. Mohammad Asikin 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
1.
Asikin, Mohammad, et al.. (2022). MaTriG: Game Edukasi Matematika dengan Construct 3. Indonesian Journal of Computer Science. 11(1). 1 indexed citations
2.
Asikin, Mohammad, et al.. (2022). Development of STEAM-based JHS Mathematics Teaching Material to Enhance Students' Mathematical Connection. Unnes Journal of Mathematics Education. 11(1). 86–92.
3.
Asikin, Mohammad, et al.. (2021). PENDAMPINGAN PENYUSUNAN PERANGKAT PEMBELAJARAN DARING DAN LURING DI MASA PANDEMI COVID-19 BAGI GURU MI ROUDLOTUL HUDA GUNUNGPATI SEMARANG. Jurnal Pendidikan dan Pengabdian Masyarakat. 4(4). 2 indexed citations
4.
Cahyono, Adi Nur, et al.. (2021). The RoboSTE[M] Project: Using Robotics Learning in a STEM Education Model to Help Prospective Mathematics Teachers Promote Students’ 21st-CenturySkills. International Journal of Learning Teaching and Educational Research. 20(7). 85–99. 5 indexed citations
5.
Asikin, Mohammad, et al.. (2021). Development of KOMIKA-SAVI in the Jambi Context on Social Aritmetic Material. SHILAP Revista de lepidopterología. 11(3). 118–131.
6.
Asikin, Mohammad, et al.. (2021). Studi Literatur Komunikasi Matematis, Self Efficacy, Model Pembelajaran Trefinger dan Asessmen Kinerja. 2(2). 249–275. 1 indexed citations
7.
Cahyono, Adi Nur, et al.. (2020). LEARNING MATHEMATICAL MODELLING WITH AUGMENTED REALITY MOBILE MATH TRAILS PROGRAM: HOW CAN IT WORK?. Journal on Mathematics Education. 11(2). 181–192. 63 indexed citations
8.
Kartono, Kartono, et al.. (2019). PERAN PEER FEEDBACK DALAM PEMBELAJARAN MODEL PROBLEM BASED LEARNING PADA PENCAPAIAN KEMAMPUAN PEMECAHAN MASALAH. Seminar Nasional Pendidikan Matematika. 6. 2 indexed citations
9.
Asikin, Mohammad, et al.. (2019). PROJECT BASED LEARNING BERBASIS ETNOMATEMATIKA BERBANTUAN AUGMENTED REALITY UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH GEOMETRI. Seminar Nasional Pendidikan Matematika. 6. 3 indexed citations
10.
Asikin, Mohammad, et al.. (2019). Kemampuan Pemecahan Masalah Ditinjau Dari Gaya Kognitif Siswa Pada Model Pembelajaran Brain Based Learning. Seminar Nasional Pendidikan Matematika. 6. 2 indexed citations
11.
Asikin, Mohammad, et al.. (2019). Kemampuan Berpikir Kreatif Matematis dalam Setting Pembelajaran Creative Problem Solving dengan Pendekatan Open-Ended (Sebuah Kajian Teoritik). Seminar Nasional Pendidikan Matematika. 6. 2 indexed citations
12.
Asikin, Mohammad, et al.. (2019). The problem-solving ability in terms of self-efficacy with Creative Problem-Solving Learning. Unnes Journal of Mathematics Education. 8(3). 188–194.
13.
14.
Asikin, Mohammad, et al.. (2018). Students’ mathematical creative thinking ability in creative problem solving learning based on self-esteem. SHILAP Revista de lepidopterología. 7(3). 203–209. 1 indexed citations
15.
Asikin, Mohammad, et al.. (2018). The INNOMATTS: A Model of Mathematics Teacher Training Management. Journal of Turkish Science Education. 15. 76–86. 1 indexed citations
16.
Mulyono, Mulyono, et al.. (2016). ANALISIS KESALAHAN SISWA KELAS VIII DALAM MENYELESAIKAN SOAL MATEMATIKA BENTUK URAIAN BERDASARKAN TAKSONOMI SOLO. SHILAP Revista de lepidopterología. 5(2). 10 indexed citations
17.
Asikin, Mohammad, et al.. (2014). PEMBENTUKAN KARAKTER DAN PEMECAHAN MASALAH MELALUI MODEL SUPERITEM BERBANTUAN SCAFFOLDING. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Asikin, Mohammad, et al.. (2013). KOMPARASI MODEL PEMBELAJARAN CTL DAN MEA TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATERI LINGKARAN. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Asikin, Mohammad, et al.. (2013). EFEKTIVITAS METODE DRILL BERBANTUAN “SMART MATHEMATICS MODULE” TERHADAP KEMAMPUAN PEMECAHAN MASALAH. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Asikin, Mohammad. (2010). PENDIDIKAN MATEMATIKA PADA ERA OTONOMI DAERAH :PROFIL KURIKULUM, PARADIGMA PEMBELAJARAN DAN PENGADAAN BUKU AJAR. Mathematika. 5(2). 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.

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