Amit Juneja

440 total citations
21 papers, 265 citations indexed

About

Amit Juneja is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Amit Juneja has authored 21 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 15 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Amit Juneja's work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (8 papers). Amit Juneja is often cited by papers focused on Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (8 papers). Amit Juneja collaborates with scholars based in United States. Amit Juneja's co-authors include Carol Espy-Wilson, M. Marefat, Om Deshmukh, Katrin Kirchhoff, Kemal Sönmez, Karen Livescu, Sarah Borys, James Baker, Ken Chen and Mark Hasegawa‐Johnson and has published in prestigious journals such as The Journal of the Acoustical Society of America, SAE technical papers on CD-ROM/SAE technical paper series and PubMed.

In The Last Decade

Amit Juneja

16 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amit Juneja United States	8	194	172	84	47	33	21	265
Anderson R. Avila Canada	8	136 0.7×	150 0.9×	53 0.6×	43 0.9×	11 0.3×	25	272
Arthur R. Toth United States	13	276 1.4×	187 1.1×	29 0.3×	32 0.7×	7 0.2×	23	337
Alexandros Lazaridis Switzerland	8	243 1.3×	227 1.3×	112 1.3×	13 0.3×	7 0.2×	28	334
Xinjian Li United States	10	212 1.1×	107 0.6×	22 0.3×	12 0.3×	6 0.2×	32	295
Xin-Cheng Wen China	8	91 0.5×	121 0.7×	69 0.8×	94 2.0×	51 1.5×	16	232
Andrew Morris Switzerland	10	284 1.5×	250 1.5×	20 0.2×	27 0.6×	11 0.3×	25	384
Su-Lin Wu United States	7	175 0.9×	117 0.7×	34 0.4×	74 1.6×	6 0.2×	15	240
Kyu J. Han United States	12	371 1.9×	311 1.8×	50 0.6×	11 0.2×	6 0.2×	38	456
Subhadeep Dey Switzerland	10	248 1.3×	232 1.3×	78 0.9×	10 0.2×	6 0.2×	20	320

Countries citing papers authored by Amit Juneja

Since Specialization

Citations

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

Fields of papers citing papers by Amit Juneja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Juneja

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

All Works

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20 of 20 papers shown

Juneja, Amit. (2025). The Role of IoT and Analytics in Shaping Smart Cities: A Case Study Approach. International Journal For Multidisciplinary Research. 7(1).

Juneja, Amit, et al.. (2024). HANDS-FREE, HEADS-UP CONTROL SYSTEM FOR UNMANNED GROUND VEHICLES. SAE technical papers on CD-ROM/SAE technical paper series. 1.

Marefat, M. & Amit Juneja. (2019). Serverless Data Parallelization for Training and Retraining of Deep Learning Architecture in Patient-Specific Arrhythmia Detection. 11. 1–4. 1 indexed citations

Juneja, Amit & M. Marefat. (2018). Leveraging blockchain for retraining deep learning architecture in patient-specific arrhythmia classification. 393–397. 52 indexed citations

Juneja, Amit & M. Marefat. (2016). Patient-specific detection of ventricular tachycardia in remote continuous health devices. PubMed. 22. 529–532.

Juneja, Amit. (2012). A comparison of automatic and human speech recognition in null grammar. The Journal of the Acoustical Society of America. 131(3). EL256–EL261. 8 indexed citations

Juneja, Amit, et al.. (2010). Soldier experiments and assessments using SPEAR speech control system for UGVs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7664. 76641E–76641E. 1 indexed citations

Juneja, Amit, et al.. (2009). Field experiments using SPEAR: a speech control system for UGVs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7332. 73320L–73320L. 2 indexed citations

Hasegawa‐Johnson, Mark, Jennifer Cole, Ken Chen, et al.. (2009). Prosodic Hierarchy as an Organizing Framework for the Sources of Context in Phone-Based and Articulatory-Feature-Based Speech Recognition. 101–128. 2 indexed citations

10.

Juneja, Amit & Carol Espy-Wilson. (2008). A probabilistic framework for landmark detection based on phonetic features for automatic speech recognition. The Journal of the Acoustical Society of America. 123(2). 1154–1168. 31 indexed citations

11.

Juneja, Amit, et al.. (2008). Hands-free device control using sound picked up in the ear canal. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6962. 696210–696210. 1 indexed citations

12.

Espy-Wilson, Carol, et al.. (2007). Landmark-based approach to speech recognition: an alternative to HMMs. 886–889. 7 indexed citations

13.

Hasegawa‐Johnson, Mark, James Baker, Sarah Borys, et al.. (2006). Landmark-Based Speech Recognition: Report of the 2004 Johns Hopkins Summer Workshop. PubMed. 1(1415088). 213–216. 67 indexed citations

14.

Juneja, Amit & Carol Espy-Wilson. (2004). Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines. 1. 675–679. 34 indexed citations

15.

Juneja, Amit & Carol Espy-Wilson. (2004). Segmentation of continuous speech using acoustic-phonetic parameters and statistical learning. 2. 726–730. 21 indexed citations

16.

Juneja, Amit. (2003). Speech Recognition using Acoustic Landmarks and Binary Phonetic Feature Classifiers. 4 indexed citations

17.

Juneja, Amit & Carol Espy-Wilson. (2003). A novel probabilistic framework for event-based speech recognition. The Journal of the Acoustical Society of America. 114(4_Supplement). 2335–2335. 2 indexed citations

18.

Deshmukh, Om, Carol Espy-Wilson, & Amit Juneja. (2002). Acoustic-phonetic speech parameters for speaker-independent speech recognition. IEEE International Conference on Acoustics Speech and Signal Processing. 3. I–593. 18 indexed citations

19.

Juneja, Amit, Om Deshmukh, & Carol Espy-Wilson. (2002). An event-based acoustic-phonetic approach for speech segmentation and E-set recognition. IEEE International Conference on Acoustics Speech and Signal Processing. IV–4164. 6 indexed citations

20.

Juneja, Amit & Carol Espy-Wilson. (2001). Acoustic-phonetic approach to speech recognition based on event detection and linear discriminant analysis. The Journal of the Acoustical Society of America. 109(5_Supplement). 2493–2493.

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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