Itshak Lapidot

909 total citations
70 papers, 646 citations indexed

About

Itshak Lapidot is a scholar working on Artificial Intelligence, Signal Processing and Biophysics. According to data from OpenAlex, Itshak Lapidot has authored 70 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 35 papers in Signal Processing and 29 papers in Biophysics. Recurrent topics in Itshak Lapidot's work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (29 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (29 papers). Itshak Lapidot is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (29 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (29 papers). Itshak Lapidot collaborates with scholars based in Israel, France and Palestinian Territory. Itshak Lapidot's co-authors include Mahmoud Huleihel, Ahmad Salman, Hugo Guterman, S. Mordechaǐ, Hervé Bourlard, Jitendra Ajmera, Leah Tsror, Iain McCowan, Arnon D. Cohen and R. Moreh and has published in prestigious journals such as Analytical Chemistry, Expert Systems with Applications and Sensors.

In The Last Decade

Itshak Lapidot

65 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Itshak Lapidot Israel 16 283 234 192 172 108 70 646
Marion O’Farrell Norway 13 33 0.1× 24 0.1× 65 0.3× 235 1.4× 40 463
Y. Mallet Australia 3 35 0.1× 16 0.1× 84 0.4× 187 1.1× 3 336
Arlindo Rodrigues Galvão Filho Brazil 8 42 0.1× 4 0.0× 78 0.4× 254 1.5× 3 0.0× 50 420
Ramin Nikzad‐Langerodi Austria 12 71 0.3× 7 0.0× 133 0.7× 251 1.5× 25 447
Michael Kemmler Germany 12 143 0.5× 17 0.1× 21 0.1× 13 0.1× 2 0.0× 22 540
Travis E. Doom United States 12 126 0.4× 15 0.1× 4 0.0× 39 0.2× 6 0.1× 40 602
Edurne Gaston Ireland 10 13 0.0× 6 0.0× 147 0.8× 270 1.6× 4 0.0× 11 672
C. Borggaard Denmark 13 52 0.2× 5 0.0× 124 0.6× 377 2.2× 2 0.0× 18 759
Anam Tariq Pakistan 16 46 0.2× 15 0.1× 18 0.1× 12 0.1× 2 0.0× 58 876

Countries citing papers authored by Itshak Lapidot

Since Specialization
Citations

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

Fields of papers citing papers by Itshak Lapidot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itshak Lapidot

This figure shows the co-authorship network connecting the top 25 collaborators of Itshak Lapidot. A scholar is included among the top collaborators of Itshak Lapidot 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 Itshak Lapidot. Itshak Lapidot 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
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2.
Lapidot, Itshak, et al.. (2024). Infrared spectroscopy-based machine learning algorithms for rapid detection of Klebsiella pneumoniae isolated directly from patients' urine and determining its susceptibility to antibiotics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 314. 124141–124141. 4 indexed citations
3.
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Nesher, Lior, et al.. (2023). Detection of extended-spectrum β-lactamase-producing bacteria isolated directly from urine by infrared spectroscopy and machine learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 295. 122634–122634. 4 indexed citations
5.
Lapidot, Itshak, et al.. (2023). Early Detection of Pre-Cancerous and Cancerous Cells Using Raman Spectroscopy-Based Machine Learning. Cells. 12(14). 1909–1909. 5 indexed citations
6.
Riesenberg, Klaris, et al.. (2022). Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 274. 121080–121080. 14 indexed citations
7.
Riesenberg, Klaris, et al.. (2022). Fast identification and susceptibility determination of E. coli isolated directly from patients' urine using infrared-spectroscopy and machine learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 285. 121909–121909. 10 indexed citations
8.
Huleihel, Mahmoud, Elad Shufan, Leah Tsror, et al.. (2018). Differentiation of mixed soil-borne fungi in the genus level using infrared spectroscopy and multivariate analysis. Journal of Photochemistry and Photobiology B Biology. 180. 155–165. 17 indexed citations
9.
Lapidot, Itshak, et al.. (2018). Speakers clustering with stochastic VQ and clustering quality estimator. 1–5. 2 indexed citations
10.
Bonastre, Jean-François, et al.. (2015). An information theory based data-homogeneity measure for voice comparison. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
11.
Lapidot, Itshak, et al.. (2014). Mahalanobis based emission model for speaker diarization of telephone conversations. 1–5. 1 indexed citations
12.
Lapidot, Itshak & Jean-François Bonastre. (2012). Generalized Viterbi-based models for time-series segmentation applied to speaker diarization.. 138–145. 6 indexed citations
13.
Salman, Ahmad, Itshak Lapidot, Leah Tsror, et al.. (2012). Identification of fungal phytopathogens using Fourier transform infrared-attenuated total reflection spectroscopy and advanced statistical methods. Journal of Biomedical Optics. 17(1). 17002–17002. 39 indexed citations
14.
Salman, Ahmad, Leah Tsror, Itshak Lapidot, et al.. (2012). Utilizing FTIR-ATR spectroscopy for classification and relative spectral similarity evaluation of different Colletotrichum coccodes isolates. The Analyst. 137(15). 3558–3558. 24 indexed citations
15.
Salman, Ahmad, Leah Tsror, Itshak Lapidot, et al.. (2011). Distinction of Fusarium oxysporum fungal isolates (strains) using FTIR-ATR spectroscopy and advanced statistical methods. The Analyst. 136(5). 988–988. 28 indexed citations
16.
Lapidot, Itshak, et al.. (2010). Online Diarization of Telephone Conversations. 23. 2 indexed citations
17.
Lapidot, Itshak, et al.. (2010). Incremental diarization of telephone conversations. 2226–2229. 1 indexed citations
18.
Lapidot, Itshak, et al.. (2008). Segmental K-Means initialization for SOM-based speaker clustering. International Symposium ELMAR. 1. 305–308. 3 indexed citations
19.
Lapidot, Itshak, Hugo Guterman, & Arnon D. Cohen. (2002). Unsupervised speaker recognition based on competition between self-organizing maps. IEEE Transactions on Neural Networks. 13(4). 877–887. 52 indexed citations
20.
Lapidot, Itshak & Hugo Guterman. (2001). Resolution Limitation in Speakers Clustering and Segmentation Problems. 169–174. 2 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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