Said Achmad

712 citations
45 papers · 352 · h-index 9

Impact in

Papers in

    • Information Retrieval and Data Mining 3
    • Data Mining and Machine Learning Applications 3
    • Blockchain Technology Applications and Security 2
    • Sentiment Analysis and Opinion Mining 4
    • Advanced Text Analysis Techniques 3

Said Achmad

33 papers receiving 323 citations

Peers

Said Achmad
Comparison fields: 5 of 71
  • Human-Computer Interaction 81
  • Management Science and Operations Research 78
  • Developmental and Educational Psychology 42
  • Information Systems 67
  • Computer Vision and Pattern Recognition 49
Replace Aditya Kurniawan with:
Aditya Kurniawan Indonesia
Thomas W. Mastaglio United States
Kuniaki Yajima Japan
Yuheng Zhao China
William C. Elm United States
Norah Alnaim Saudi Arabia
Lim Kok Cheng Malaysia
Inmaculada Rodríguez Spain
Said Achmad relative to Aditya Kurniawan Indonesia Aditya Kurniawan's profile →
Citations per field
00.5×1.5×
Aditya Kurniawan · 1×
Citations per year

Countries citing papers authored by Said Achmad

Since Specialization
Citations

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

Fields of papers citing papers by Said Achmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Said Achmad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Said Achmad Line = papers co-authored together Said Achmad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202381
2 202354
3 202346
4 202330
5 202327
6 202318
7 202216
8 202214
9 20238
10 20226
11 20236
12 20215
13 20225
14 20225
15 20244
16 20234
17 20223
18 20232
19 20222
20 20232

About Said Achmad

Said Achmad is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 45 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), IoT and Edge/Fog Computing (3 papers), Information Retrieval and Data Mining (3 papers), Data Mining and Machine Learning Applications (3 papers), Virtual Reality Applications and Impacts (3 papers), Advanced Text Analysis Techniques (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Human-Computer Interaction (81 citations), Management Science and Operations Research (78 citations), Developmental and Educational Psychology (42 citations), Information Systems (67 citations) and Computer Vision and Pattern Recognition (49 citations). Said Achmad has collaborated with scholars based in Indonesia, Hungary and Germany. Frequent co-authors include Aditya Kurniawan, Rhio Sutoyo, Andry Chowanda, Sani Muhamad Isa, Derwin Suhartono, Antoni Wibowo, Neil B. Alexander, Aryo Pradipta Gema, Meiliana Meiliana and Edy Irwansyah. Their work appears in journals such as Data in Brief, International Journal for Simulation and Multidisciplinary Design Optimization, Procedia Computer Science and Figshare.

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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