Andry Chowanda

82 papers receiving 789 citations

Peers

Andry Chowanda
Comparison fields: 5 of 104
  • Experimental and Cognitive Psychology 132
  • Computer Vision and Pattern Recognition 206
  • Artificial Intelligence 280
  • Human-Computer Interaction 37
  • Health Informatics 7
Replace Ivana Kruijff‐Korbayová with:
Ivana Kruijff‐Korbayová Germany
Frank Guérin United Kingdom
Eric Richter Germany
Chloé Clavel France
Stephen M. Casner United States
Yang Jiang China
Kathryn Merrick Australia
Mohamad Nizam Bin Ayub Malaysia
Robert A. Sottilare United States
Celso M. de Melo United States
Andry Chowanda relative to Ivana Kruijff‐Korbayová Germany Ivana Kruijff‐Korbayová's profile →
Citations per field
00.5×7.5×
Ivana Kruijff‐Korbayová · 1×
Citations per year

Countries citing papers authored by Andry Chowanda

Since Specialization
Citations

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

Fields of papers citing papers by Andry Chowanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andry Chowanda, 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 Andry Chowanda Line = papers co-authored together Andry Chowanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 202145
3 201944
4 201842
5 201938
6 202338
7 202137
8 201935
9 201930
10 201628
11 201926
12 202325
13 201425
14 201717
15 202215
16 201614
17 201914
18 202113
19 201811
20 201611

About Andry Chowanda

Andry Chowanda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 101 papers that have together received 828 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (17 papers), Sentiment Analysis and Opinion Mining (9 papers), Educational Games and Gamification (8 papers), Augmented Reality Applications (8 papers), Edcuational Technology Systems (7 papers), Virtual Reality Applications and Impacts (6 papers), Face recognition and analysis (6 papers) and Digital Games and Media (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (132 citations), Computer Vision and Pattern Recognition (206 citations), Artificial Intelligence (280 citations), Human-Computer Interaction (37 citations) and Health Informatics (7 citations). Andry Chowanda has collaborated with scholars based in Indonesia, United Kingdom and Taiwan. Frequent co-authors include Derwin Suhartono, Alexander Agung Santoso Gunawan, Widodo Budiharto, Jarot S. Suroso, Kamal Z. Zamli, Hans Christian, Michel Valstar, Rhio Sutoyo, Martin Flintham and Edy Irwansyah. Their work appears in journals such as Journal Of Big Data, Data in Brief, Lecture notes in computer science, Bulletin of Electrical Engineering and Informatics and International Journal of Electrical and Computer Engineering (IJECE).

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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