Alain Biem

1.3k total citations
46 papers, 885 citations indexed

About

Alain Biem is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alain Biem has authored 46 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alain Biem's work include Speech Recognition and Synthesis (12 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (8 papers). Alain Biem is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (8 papers). Alain Biem collaborates with scholars based in United States, Japan and Canada. Alain Biem's co-authors include Shigeru Katagiri, Biing‐Hwang Juang, Mohamed Cheriet, Erik McDermott, Eric Bouillet, Haris N. Koutsopoulos, Anand Ranganathan, Olivier Verscheure, Anton Riabov and Henrique Andrade and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Alain Biem

45 papers receiving 820 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alain Biem United States 17 441 278 248 222 138 46 885
Zhisong Pan China 16 558 1.3× 217 0.8× 287 1.2× 227 1.0× 100 0.7× 123 1.1k
Jieren Cheng China 18 485 1.1× 145 0.5× 352 1.4× 257 1.2× 193 1.4× 84 998
Qiangfu Zhao Japan 15 634 1.4× 153 0.6× 435 1.8× 110 0.5× 108 0.8× 191 1.2k
Lianbing Deng China 10 241 0.5× 113 0.4× 305 1.2× 241 1.1× 134 1.0× 25 802
Enrico Vicario Italy 20 257 0.6× 135 0.5× 445 1.8× 251 1.1× 109 0.8× 126 1.4k
Lahouari Ghouti Saudi Arabia 18 376 0.9× 136 0.5× 405 1.6× 231 1.0× 367 2.7× 69 1.2k
Thavavel Vaiyapuri Saudi Arabia 19 461 1.0× 163 0.6× 186 0.8× 535 2.4× 163 1.2× 60 1.1k
Gürsel Serpen United States 15 513 1.2× 215 0.8× 105 0.4× 449 2.0× 97 0.7× 66 886
Rabindra K. Barik India 18 263 0.6× 111 0.4× 191 0.8× 629 2.8× 402 2.9× 130 1.1k
Haifeng Chen United States 13 383 0.9× 190 0.7× 126 0.5× 148 0.7× 164 1.2× 47 674

Countries citing papers authored by Alain Biem

Since Specialization
Citations

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

Fields of papers citing papers by Alain Biem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Biem

This figure shows the co-authorship network connecting the top 25 collaborators of Alain Biem. A scholar is included among the top collaborators of Alain Biem 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 Alain Biem. Alain Biem 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.
Nargesian, Fatemeh, Alain Biem, Prateek Jain, Srinivasan Parthasarathy, & Deepak S. Turaga. (2015). SOFIA: An Analytics Recommendation System.. International Semantic Web Conference. 1 indexed citations
2.
Xiao, Houping, et al.. (2015). Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. 455–465. 11 indexed citations
3.
Yang, Shiming, et al.. (2014). Detecting Road Traffic Events by Coupling Multiple Timeseries With a Nonparametric Bayesian Method. IEEE Transactions on Intelligent Transportation Systems. 15(5). 1936–1946. 35 indexed citations
4.
Biem, Alain, Huijie Feng, Anton Riabov, & Deepak S. Turaga. (2013). Real-time analysis and management of big time-series data. IBM Journal of Research and Development. 57(3/4). 8:1–8:12. 10 indexed citations
5.
Sow, Daby, Jimeng Sun, Alain Biem, et al.. (2012). Real-time analysis for short-term prognosis in intensive care. IBM Journal of Research and Development. 56(5). 3:1–3:10. 6 indexed citations
6.
Adankon, Mathias M., Mohamed Cheriet, & Alain Biem. (2011). Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM. IEEE Transactions on Neural Networks. 22(4). 513–524. 35 indexed citations
7.
Biem, Alain, Eric Bouillet, Anand Ranganathan, Mahmood Rahmani, & Haris N. Koutsopoulos. (2010). Real-Time Traffic Information Management using Stream Computing. IEEE Data(base) Engineering Bulletin. 33(2). 64–68. 18 indexed citations
8.
Sow, Daby, Alain Biem, Jimeng Sun, Jianying Hu, & Shahram Ebadollahi. (2010). Real-time prognosis of ICU physiological data streams. PubMed. 2010. 6785–6788. 8 indexed citations
9.
Biem, Alain, Eric Bouillet, Hanhua Feng, et al.. (2010). IBM infosphere streams for scalable, real-time, intelligent transportation services. 1093–1104. 137 indexed citations
10.
Sow, Daby, Alain Biem, Marion Blount, Maria Ebling, & Olivier Verscheure. (2010). Body sensor data processing using stream computing. 449–458. 12 indexed citations
11.
Cheriet, Mohamed, et al.. (2009). Semisupervised Least Squares Support Vector Machine. IEEE Transactions on Neural Networks. 20(12). 1858–1870. 59 indexed citations
12.
Biem, Alain, et al.. (2006). Maximization of mutual information for offline Thai handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(8). 1347–1351. 18 indexed citations
13.
Biem, Alain. (2006). Minimum classification error training for online handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(7). 1041–1051. 38 indexed citations
14.
Hu, Jianying, et al.. (2005). Dynamic signature verification using discriminative training. 1260–1264 Vol. 2. 5 indexed citations
15.
Biem, Alain, et al.. (2004). Prototype-based minimum error classifier for handwritten digits recognition. 5. V–845. 2 indexed citations
16.
Biem, Alain, et al.. (2003). Discriminative training of tied mixture density HMMs for online handwritten digit recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–817. 4 indexed citations
17.
McDermott, Erik, et al.. (2002). Discriminative training for large vocabulary telephone-based name recognition. 6. 3739–3742. 9 indexed citations
18.
Biem, Alain. (2002). Minimum classification error training of hidden Markov models for handwriting recognition. 3. 1529–1532. 12 indexed citations
19.
Biem, Alain, Shigeru Katagiri, Erik McDermott, & Biing‐Hwang Juang. (2001). An application of discriminative feature extraction to filter-bank-based speech recognition. IEEE Transactions on Speech and Audio Processing. 9(2). 96–110. 59 indexed citations
20.
Biem, Alain, Shigeru Katagiri, & Biing‐Hwang Juang. (1997). Pattern recognition using discriminative feature extraction. IEEE Transactions on Signal Processing. 45(2). 500–504. 48 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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