Muhammad Haris

690 total citations
24 papers, 398 citations indexed

About

Muhammad Haris is a scholar working on Artificial Intelligence, Information Systems and Ocean Engineering. According to data from OpenAlex, Muhammad Haris has authored 24 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 3 papers in Ocean Engineering. Recurrent topics in Muhammad Haris's work include Multimedia Learning Systems (4 papers), Edcuational Technology Systems (4 papers) and Data Mining and Machine Learning Applications (4 papers). Muhammad Haris is often cited by papers focused on Multimedia Learning Systems (4 papers), Edcuational Technology Systems (4 papers) and Data Mining and Machine Learning Applications (4 papers). Muhammad Haris collaborates with scholars based in Pakistan, Indonesia and Germany. Muhammad Haris's co-authors include Anam Fatima, Abdul Saboor, Heemin Park, Imran Mahmood, Hessam S. Sarjoughian, Allard Oelen, Manuel Prinz, Jennifer D’Souza, Sören Auer and Kheir Eddine Farfar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Scientific Data.

In The Last Decade

Muhammad Haris

16 papers receiving 382 citations

Peers

Muhammad Haris
Yuchen Liu China
Yue Luo United States
Jayan Eledath United States
L. Jani Anbarasi India
Qingge Ji China
Muhammad Amir As’ari Malaysia
Eman M. El-Gendy Egypt
Riaz Ali China
Wan Nurshazwani Wan Zakaria Malaysia
Yuchen Liu China
Muhammad Haris
Citations per year, relative to Muhammad Haris Muhammad Haris (= 1×) peers Yuchen Liu

Countries citing papers authored by Muhammad Haris

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Haris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Haris

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Haris. A scholar is included among the top collaborators of Muhammad Haris 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 Haris. Muhammad Haris 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.
Stocker, Markus, et al.. (2025). Rethinking the production and publication of machine-readable expressions of research findings. Scientific Data. 12(1). 677–677.
2.
Haris, Muhammad, et al.. (2025). Optimalisasi Pemberdayaan Kader dan Digitalisasi Pos Pelayanan Terpadu Lansia dan Balita Kota Tanjungpinang Berbasis Mobile dan Web. Jurnal ABDINUS Jurnal Pengabdian Nusantara. 9(1). 222–230.
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Gata, Windu, et al.. (2025). Automated Indonesian Plate Recognition: YOLOv8 Detection and TensorFlow-CNN Character Classification. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). 9(3). 544–553.
5.
6.
Haris, Muhammad, et al.. (2023). Predicting Customer Intentions in Purchasing Property Units Using Deep Learning. 8. 103–108. 1 indexed citations
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8.
Stocker, Markus, Allard Oelen, Mohamad Yaser Jaradeh, et al.. (2023). FAIR scientific information with the Open Research Knowledge Graph. 1(1). 19–21. 16 indexed citations
9.
Haris, Muhammad, et al.. (2023). Hyperparameter Tuning Deep Learning for Imbalanced Data. 4(2). 3 indexed citations
10.
Haris, Muhammad, et al.. (2023). IndoBERT Based Data Augmentation for Indonesian Text Classification. 128–132. 2 indexed citations
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12.
Saboor, Abdul, et al.. (2021). Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review. Sensors. 21(15). 5134–5134. 145 indexed citations
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Haris, Muhammad, et al.. (2020). ANALISIS SENTIMEN PADA TWITTER TERKAIT NEW NORMAL DENGAN METODE NAÏVE BAYES CLASSIFIER. 4.
15.
Auer, Sören, Allard Oelen, Muhammad Haris, et al.. (2020). Improving Access to Scientific Literature with Knowledge Graphs. BIBLIOTHEK Forschung und Praxis. 44(3). 516–529. 33 indexed citations
16.
Haris, Muhammad, et al.. (2019). Application of deep learning for retinal image analysis: A review. Computer Science Review. 35. 100203–100203. 134 indexed citations
17.
Haris, Muhammad, et al.. (2018). Modeling safest and optimal emergency evacuation plan for large-scale pedestrians environments. Winter Simulation Conference. 917–928. 4 indexed citations
18.
Mahmood, Imran, Muhammad Haris, & Hessam S. Sarjoughian. (2017). Analyzing Emergency Evacuation Strategies for Mass Gatherings using Crowd Simulation And Analysis framework. 231–240. 28 indexed citations
19.
Haris, Muhammad, et al.. (2016). IMPLEMENTASI SISTEM JASA PEMBANGUNAN DAN DESAIN RUMAH MENGGUNAKAN ADOBE DREAMWEAVER. 2(1). 30–34. 1 indexed citations
20.
Haris, Muhammad, et al.. (2016). IMPLEMENTASI SISTEM JASA PEMBANGUNAN DAN DESAIN RUMAH MENGGUNAKAN ADOBE DREAMWEAVER. SHILAP Revista de lepidopterología. 2(1). 30–30. 2 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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2026