Muhammad Arhami

541 total citations
29 papers, 354 citations indexed

About

Muhammad Arhami is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Arhami has authored 29 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Arhami's work include Data Mining and Machine Learning Applications (8 papers), Edcuational Technology Systems (8 papers) and Computer Science and Engineering (7 papers). Muhammad Arhami is often cited by papers focused on Data Mining and Machine Learning Applications (8 papers), Edcuational Technology Systems (8 papers) and Computer Science and Engineering (7 papers). Muhammad Arhami collaborates with scholars based in Indonesia and Türkiye. Muhammad Arhami's co-authors include Anita Desiani, Muhammad Nasir, Erwin Erwin, Husaini Husaini, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Azhar Azhar, Dwiza Riana and Anwar Anwar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Muhammad Arhami

26 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arhami Indonesia 8 239 215 145 32 25 29 354
Anita Desiani Indonesia 8 109 0.5× 100 0.5× 30 0.2× 49 1.5× 35 1.4× 78 255
Fitri Bimantoro Indonesia 10 158 0.7× 135 0.6× 21 0.1× 21 0.7× 114 4.6× 69 320
Hairani Hairani Indonesia 10 161 0.7× 146 0.7× 21 0.1× 5 0.2× 8 0.3× 56 284
Lijing Zhou China 4 71 0.3× 262 1.2× 24 0.2× 14 0.4× 16 0.6× 5 285
Iskandar Fitri Indonesia 9 178 0.7× 248 1.2× 82 0.6× 15 0.6× 98 346
Sicong Zhou China 6 91 0.4× 180 0.8× 30 0.2× 4 0.1× 5 0.2× 11 251
Mustapha Samih Morocco 6 57 0.2× 251 1.2× 24 0.2× 5 0.2× 17 0.7× 12 314
Isabelle Tamanini Brazil 10 63 0.3× 92 0.4× 42 0.3× 4 0.1× 7 0.3× 17 193
Mazen Alzyoud Jordan 8 73 0.3× 34 0.2× 9 0.1× 28 0.9× 17 0.7× 17 192

Countries citing papers authored by Muhammad Arhami

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arhami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arhami

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arhami. A scholar is included among the top collaborators of Muhammad Arhami 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 Muhammad Arhami. Muhammad Arhami 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.
Arhami, Muhammad, et al.. (2024). A Semantic Segmentation of Nucleus and Cytoplasm in Pap-smear Images using Modified U-Net Architecture. JURNAL INFOTEL. 16(2). 273–288. 1 indexed citations
2.
Desiani, Anita, et al.. (2023). ROTATION-GAMMA CORRECTION AUGMENTATION ON CNN-DENSE BLOCK FOR SOIL IMAGE CLASSIFICATION. Applied Computer Science. 19(3). 96–115. 1 indexed citations
3.
Desiani, Anita, et al.. (2023). Majority Voting as Ensemble Classifier for Cervical Cancer Classification. Science & Technology Indonesia. 8(1). 84–92. 4 indexed citations
4.
Arhami, Muhammad, et al.. (2023). Simulation of photovoltaic station interfacing scada within transmission line. Indonesian Journal of Electrical Engineering and Computer Science. 30(3). 1269–1269. 2 indexed citations
5.
Desiani, Anita, et al.. (2023). Denoised Non-Local Means with BDDU-Net Architecture for Robust Retinal Blood Vessel Segmentation. International Journal of Pattern Recognition and Artificial Intelligence. 37(16). 2 indexed citations
6.
Desiani, Anita, et al.. (2023). Perbandingan Algoritma C4.5 dan Adaptive Boosting dalam Klasifikasi Penyakit Alzheimer. 13(2). 196–207. 1 indexed citations
7.
Nasir, Muhammad, et al.. (2023). A Concept of V2G Battery Charging Station as the Implementation of IoT and Cyber Physical Network System. International Journal of Electronics and Telecommunications. 269–273. 2 indexed citations
8.
Arhami, Muhammad, et al.. (2023). The combination of gamma correction, contrast CLAHE and Otsu thresholding segmentation of blood vessels in retinal images. AIP conference proceedings. 2811. 80016–80016.
9.
Desiani, Anita, et al.. (2022). BVU-Net: A U-Net Modification by VGG-Batch Normalization for Retinal Blood Vessel Segmentation. International journal of intelligent engineering and systems. 15(6). 303–314. 7 indexed citations
10.
Arhami, Muhammad, et al.. (2022). Pengukuran Aptitude dengan Uji Kraepelin Menggunakan Metode Linear Congruential Method (LCM). 22(1). 1–1. 2 indexed citations
11.
Desiani, Anita, et al.. (2022). Implementation of Sample Sample Bootstrapping for Resampling Pap Smear Single Cell Dataset. SHILAP Revista de lepidopterología. 13(2). 72–72. 2 indexed citations
12.
Desiani, Anita, et al.. (2022). Combination Contrast Stretching and Adaptive Thresholding for Retinal Blood Vessel Image. Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer. 22(1). 1–12. 2 indexed citations
13.
Desiani, Anita, et al.. (2022). COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION. SHILAP Revista de lepidopterología. 16(1). 7–14. 3 indexed citations
14.
Desiani, Anita, et al.. (2022). VG-DropDNet a Robust Architecture for Blood Vessels Segmentation on Retinal Image. IEEE Access. 10. 92067–92083. 18 indexed citations
15.
Arhami, Muhammad, et al.. (2022). Contrast enhancement for improved blood vessels retinal segmentation using top-hat transformation and otsu thresholding. International Journal of Advances in Intelligent Informatics. 8(2). 210–210. 7 indexed citations
16.
17.
Arhami, Muhammad & Muhammad Nasir. (2020). Data Mining : Algoritma Dan Implementasi. 8 indexed citations
18.
Arhami, Muhammad, et al.. (2018). Sistem Pendeteksi Dini Kebakaran Menggunakan Colour Image Processing dan Raspberry Pi. 2(1). 1 indexed citations
19.
Arhami, Muhammad, et al.. (2018). Algoritma Elgamal dengan Pertukaran Kunci Diffie Hellman pada Aplikasi Keamanan Citra Sidik Jari Berbasis Android. 2(1). 1 indexed citations
20.
Arhami, Muhammad, et al.. (2013). Persamaan Diferensial Biasa. 7 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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