Mochamad Hariadi
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science
- Developmental and Educational Psychology top 10%
- Co-authors
- Mauridhi Hery PurnomoSupeno Mardi Susiki NugrohoI Ketut Eddy PurnamaYunifa Miftachul ArifEko Mulyanto YuniarnoRizqi Putri Nourma BudiartiPulung Nurtantio AndonoSurya Sumpeno
- Topics
- Multimedia Learning Systems (18 papers)Edcuational Technology Systems (18 papers)Educational Games and Gamification (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Mochamad Hariadi
156 papers receiving 850 citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 270
- Information Systems 257
- Computer Vision and Pattern Recognition 204
- Sociology and Political Science 86
- Developmental and Educational Psychology 83
Countries citing papers authored by Mochamad Hariadi
This map shows the geographic impact of Mochamad Hariadi'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 Mochamad Hariadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mochamad Hariadi more than expected).
Fields of papers citing papers by Mochamad Hariadi
This network shows the impact of papers produced by Mochamad Hariadi. 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 Mochamad Hariadi. The network helps show where Mochamad Hariadi may publish in the future.
Co-authorship network of co-authors of Mochamad Hariadi
This figure shows the co-authorship network connecting the top 25 collaborators of Mochamad Hariadi. A scholar is included among the top collaborators of Mochamad Hariadi 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 Mochamad Hariadi. Mochamad Hariadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Sentiment Analysis Berbasis Big Data Sentiment Analysis Based Big Data | 3 |
| 19 | 4 | |
| 20 | CONTENT BASED IMAGE RETRIEVAL BERDASARKAN FITUR BENTUK MENGGUNAKAN METODE GRADIENT VECTOR FLOW SNAKE | 3 |
About Mochamad Hariadi
Mochamad Hariadi is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Human-Computer Interaction, having authored 190 papers that have together received 917 indexed citations. Recurring topics across this work include Multimedia Learning Systems (18 papers), Edcuational Technology Systems (18 papers) and Educational Games and Gamification (18 papers). The work is most often cited by research in Information Systems (257 citations), Computer Vision and Pattern Recognition (204 citations) and Artificial Intelligence (270 citations). Mochamad Hariadi has collaborated with scholars based in Indonesia, Japan and Brunei. Frequent co-authors include Mauridhi Hery Purnomo, Supeno Mardi Susiki Nugroho, I Ketut Eddy Purnama, Yunifa Miftachul Arif, Eko Mulyanto Yuniarno, Rizqi Putri Nourma Budiarti, Pulung Nurtantio Andono, Surya Sumpeno, Lilik Anifah and Fachrul Kurniawan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.