Ivan Himawan

419 citations
32 papers · 299 · h-index 10

Impact in

Papers in

Ivan Himawan

32 papers receiving 275 citations

Peers

Ivan Himawan
Comparison fields: 5 of 42
  • Signal Processing 236
  • Developmental Biology 23
  • Artificial Intelligence 160
  • Computational Mechanics 44
  • Computer Vision and Pattern Recognition 31
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Jonathan Dennis Singapore
Miquel Espi Japan
Anastasios Alexandridis Greece
Wooil Kim United States
Niko Moritz Germany
Vladimir Tourbabin Israel
Despoina Pavlidi Greece
Srđan Kitić France
Joonas Nikunen Finland
Xiaojia Zhao United States
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Himawan

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Himawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200868
2 201740
3 201521
4 201519
5 201719
6 201816
7 202011
8 201911
9 201010
10
3D convolution recurrent neural networks for bird sound detection
20189
11 20158
12 20147
13 20187
14 20126
15 20155
16 20164
17
Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages
20164
18 20134
19 20173
20 20193

About Ivan Himawan

Ivan Himawan is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Developmental Biology, having authored 32 papers that have together received 299 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (19 papers), Music and Audio Processing (15 papers), Natural Language Processing Techniques (5 papers), Image and Video Quality Assessment (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Visual Attention and Saliency Detection (4 papers) and Animal Vocal Communication and Behavior (2 papers). The work is most often cited by research in Signal Processing (236 citations), Developmental Biology (23 citations), Artificial Intelligence (160 citations), Computational Mechanics (44 citations) and Computer Vision and Pattern Recognition (31 citations). Ivan Himawan has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Iain McCowan, Mike Lincoln, Petr Motlíček, Sridha Sridharan, Dian Tjondronegoro, Michael Towsey, György Szaszák, Clinton Fookes, Paul Roe and Youssef Oualil. Their work appears in journals such as Computer Speech & Language, Speech Communication, IEEE Access, Multimedia Tools and Applications and IEEE Transactions on Audio Speech and Language Processing.

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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