C. Neti

3.7k total citations · 1 hit paper
70 papers, 2.4k citations indexed

About

C. Neti is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, C. Neti has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Signal Processing, 31 papers in Computer Vision and Pattern Recognition and 25 papers in Artificial Intelligence. Recurrent topics in C. Neti's work include Speech and Audio Processing (46 papers), Music and Audio Processing (29 papers) and Speech Recognition and Synthesis (16 papers). C. Neti is often cited by papers focused on Speech and Audio Processing (46 papers), Music and Audio Processing (29 papers) and Speech Recognition and Synthesis (16 papers). C. Neti collaborates with scholars based in United States, Switzerland and India. C. Neti's co-authors include Gerasimos Potamianos, Andrew Senior, Guillaume Gravier, Juergen Luettin, A. Garg, Giridharan Iyengar, Harriet J. Nock, Iain Matthews, Michael Schneider and Eric D. Young and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

C. Neti

69 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent advances in the automatic recognition of audiovisual speech

2003 468 citations C. Neti, A. Garg et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Neti United States	26	1.5k	774	774	207	177	70	2.4k
Raymond Veldhuis Netherlands	30	2.0k 1.3×	1.7k 2.2×	589 0.8×	84 0.4×	89 0.5×	241	3.1k
Jhing-Fa Wang Taiwan	23	921 0.6×	1.0k 1.3×	717 0.9×	84 0.4×	231 1.3×	233	2.3k
Iain McCowan Switzerland	27	1.4k 0.9×	602 0.8×	1.2k 1.6×	152 0.7×	210 1.2×	60	2.3k
S. R. Mahadeva Prasanna India	28	2.3k 1.5×	476 0.6×	2.1k 2.7×	115 0.6×	71 0.4×	290	3.1k
Raj Reddy United States	12	865 0.6×	259 0.3×	1.1k 1.4×	103 0.5×	50 0.3×	30	1.6k
Ajay Divakaran United States	27	1.4k 0.9×	2.0k 2.5×	529 0.7×	55 0.3×	46 0.3×	128	2.7k
Nicholas Evans France	27	3.3k 2.1×	878 1.1×	3.1k 4.1×	62 0.3×	61 0.3×	145	4.2k
George Trigeorgis United Kingdom	13	769 0.5×	970 1.3×	624 0.8×	158 0.8×	27 0.2×	17	1.9k
Ismail Shahin United Arab Emirates	20	748 0.5×	246 0.3×	1.1k 1.4×	88 0.4×	125 0.7×	78	1.8k
Rubén Vera-Rodríguez Spain	25	900 0.6×	1.5k 2.0×	503 0.6×	112 0.5×	95 0.5×	111	2.5k

Countries citing papers authored by C. Neti

Since Specialization

Citations

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

Fields of papers citing papers by C. Neti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Neti

This figure shows the co-authorship network connecting the top 25 collaborators of C. Neti. A scholar is included among the top collaborators of C. Neti 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 C. Neti. C. Neti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Jacobs, Tom, et al.. (2024). Harnessing synthetic data to address fraud in cross-border payments. Journal of payments strategy & systems. 18(3). 261–261.

2.

Marcheret, Etienne, et al.. (2005). Multistage information fusion for audio-visual speech recognition. 18. 1651–1654. 3 indexed citations

3.

Amir, Arnon, Giridharan Iyengar, C.-Y. Lin, et al.. (2004). Multimodal video search techniques: late fusion of speech-based retrieval and visual content-based retrieval. 3. iii–1048. 2 indexed citations

4.

Verma, Ashish, L. V. Subramaniam, Nitendra Rajput, C. Neti, & Tanveer A. Faruquie. (2004). Animating Expressive Faces Across Languages. IEEE Transactions on Multimedia. 6(6). 791–800. 12 indexed citations

5.

Potamianos, Gerasimos, et al.. (2004). Audio-visual speech recognition using an infrared headset. Speech Communication. 44(1-4). 83–96. 23 indexed citations

6.

Iyengar, Giridharan, Ching‐Yung Lin, Milind Naphade, et al.. (2003). Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues. SHILAP Revista de lepidopterología. 4 indexed citations

7.

Potamianos, Gerasimos, C. Neti, & Sabine Deligne. (2003). Joint audio-visual speech processing for recognition and enhancement.. AVSP. 95–104. 25 indexed citations

8.

Huang, Jing, Gerasimos Potamianos, & C. Neti. (2003). Improving audio-visual speech recognition with an infrared headset.. AVSP. 175–178. 5 indexed citations

9.

Garg, A., Gerasimos Potamianos, C. Neti, & T.S. Huang. (2003). Frame-dependent multi-stream reliability indicators for audio-visual speech recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–24. 27 indexed citations

10.

Iyengar, Giridharan, C. Neti, Harriet J. Nock, et al.. (2002). IBM Research TREC 2002 Video Retrieval System.. Text REtrieval Conference. 36 indexed citations

11.

Iyengar, Giridharan, Gerasimos Potamianos, C. Neti, Tanveer A. Faruquie, & Ashish Verma. (2002). Robust detection of visual ROI for automatic speechreading. 79–84. 3 indexed citations

12.

Cohen, Paul S., et al.. (2002). Towards a universal speech recognizer for multiple languages. 591–598. 19 indexed citations

13.

Neti, C., Salim Roukos, & Ellen Eide. (2002). Word-based confidence measures as a guide for stack search in speech recognition. 2. 883–886. 29 indexed citations

14.

Potamianos, Gerasimos & C. Neti. (2001). AUTOMATIC SPEECHREADING OF IMPAIRED SPEECH. AVSP. 177–182. 19 indexed citations

15.

Potamianos, Gerasimos, Juergen Luettin, & C. Neti. (2001). Hierarchical discriminant features for audio-visual LVCSR. 165–168 vol.1. 57 indexed citations

16.

Maison, B., et al.. (2001). Audio-Visual Speaker Recognition for Video Broadcast News. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 29(1-2). 71–79. 5 indexed citations

17.

Potamianos, Gerasimos, C. Neti, Giridharan Iyengar, & Eric Helmuth. (2001). Large-vocabulary audio-visual speech recognition by machines and humans. 1027–1030. 24 indexed citations

18.

Ahuja, Narendra, et al.. (2000). Recovering frontal-pose image from a single profile image. 243–246 vol.2. 3 indexed citations

19.

Senior, Andrew, C. Neti, & B. Maison. (1999). On the use of visual information for improving audio-based speaker recognition.. AVSP. 77(1-2). 18–44. 10 indexed citations

20.

Neti, C., Michael Schneider, & Eric D. Young. (1992). Maximally fault tolerant neural networks. IEEE Transactions on Neural Networks. 3(1). 14–23. 92 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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