Hemant A. Patil

621 citations
21 papers · 398 indexed · h-index 10
Topics
Speech and Audio Processing (18 papers)Speech Recognition and Synthesis (14 papers)Music and Audio Processing (10 papers)
Journals
Computer Speech & LanguageSN Computer Science2022 30th European Signal Processing Conference (EUSIPCO)
Partner nations
IndiaBrazil

In The Last Decade

Hemant A. Patil

18 papers receiving 377 citations

Peers

Hemant A. Patil
Comparison fields: 5 of 43
  • Signal Processing 364
  • Artificial Intelligence 299
  • Computational Mechanics 58
  • Computer Vision and Pattern Recognition 46
  • Physiology 41
Replace Ibon Saratxaga with:
Ibon Saratxaga Spain
Daniel Erro Spain
Chengzhu Yu United States
Vishak Gopal United States
Hannah Muckenhirn Switzerland
Cheng Yu Taiwan
Simon Welker Germany
Chang Huai You Singapore
Michael S. Scordilis United States
José L. Pérez-Córdoba Spain
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Citations per field
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Ibon Saratxaga · 1×
Citations per year

Countries citing papers authored by Hemant A. Patil

Since Specialization
Citations

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

Fields of papers citing papers by Hemant A. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hemant A. Patil. 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 Hemant A. Patil. The network helps show where Hemant A. Patil may publish in the future.

Co-authorship network of co-authors of Hemant A. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Hemant A. Patil. A scholar is included among the top collaborators of Hemant A. Patil 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 Hemant A. Patil. Hemant A. Patil 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 9
7 12
8 2
9 2
10 18
11 10
12 8
13 140
14 23
15 35
16 9
17 58
18 28
19 1
20 1

About Hemant A. Patil

Hemant A. Patil is a scholar working on Signal Processing, Artificial Intelligence and Media Technology, having authored 21 papers that have together received 398 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (364 citations), Artificial Intelligence (299 citations) and Pharmacy (25 citations). Hemant A. Patil has collaborated with scholars based in India and Brazil. Frequent co-authors include Meet Soni, Madhu R. Kamble, Neil Shah, Tanvina Patel, Hemlata Tak, Hardik B. Sailor, Rodrigo Capobianco Guido, Priyanka Gupta, Nirmesh J. Shah and Maitreya Patel. Their work appears in journals such as Computer Speech & Language, SN Computer Science and 2022 30th European Signal Processing Conference (EUSIPCO).

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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