Hemlata Tak

1.4k citations
19 papers · 592 indexed · 2 hit papers · h-index 10

Hemlata Tak

19 papers receiving 561 citations

Hit Papers

AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temp...156202120262022202450100150

Peers

Hemlata Tak
Comparison fields: 5 of 37
  • Signal Processing 472
  • Artificial Intelligence 461
  • Computer Vision and Pattern Recognition 182
  • Pharmacy 15
  • Physiology 51
Replace Hee-Soo Heo with:
Hee-Soo Heo South Korea
Jee-weon Jung South Korea
Hye-jin Shim South Korea
Madhu R. Kamble India
Federico Alegre France
Galina Lavrentyeva Russia
Xiaohai Tian Singapore
Sergey Novoselov Russia
Vishwa Gupta Canada
Tanvina Patel India
Hemlata Tak relative to Hee-Soo Heo South Korea Hee-Soo Heo's profile →
Citations per field
00.5×1.5×2.2×
Hee-Soo Heo · 1×
Citations per year

Countries citing papers authored by Hemlata Tak

Since Specialization
Citations

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

Fields of papers citing papers by Hemlata Tak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hemlata Tak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hemlata Tak Line = papers co-authored together Hemlata Tak links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20251
2 202415
3 20242
4 20241
5 20231
6 20231
7 20235
8 20235
9 202226
10
AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networksbreakdown →
2022156
11 202244
12 20211
13
End-to-End anti-spoofing with RawNet2breakdown →
2021191
14 202040
15 202016
16 202023
17 20183
18 201821
19 201840

About Hemlata Tak

Hemlata Tak is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 592 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers), Music and Audio Processing (6 papers), Cryptographic Implementations and Security (2 papers), Digital Media Forensic Detection (2 papers), Advanced Malware Detection Techniques (2 papers), Network Security and Intrusion Detection (1 paper) and Wireless Signal Modulation Classification (1 paper). The work is most often cited by research in Signal Processing (472 citations), Artificial Intelligence (461 citations) and Computer Vision and Pattern Recognition (182 citations). Hemlata Tak has collaborated with scholars based in France, India and Finland. Frequent co-authors include Massimiliano Todisco, José Patino, Nicholas Evans, Andreas Nautsch, Anthony Larcher, Nicholas Evans, Madhu R. Kamble, Jee-weon Jung, Ha-Jin Yu and Hee-Soo Heo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Speech Communication and HAL (Le Centre pour la Communication Scientifique Directe).

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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2026