Ankit Kumar

519 citations
20 papers · 169 · h-index 8

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Neural Networks and Reservoir Computing
    • Natural Language Processing Techniques

Papers in

Ankit Kumar

17 papers receiving 151 citations

Peers

Ankit Kumar
Comparison fields: 5 of 58
  • Signal Processing 46
  • Artificial Intelligence 89
  • Business and International Management 2
  • Health Informatics 1
  • Management Science and Operations Research 9
Replace Martial Michel with:
Martial Michel United States
Yuanfeng Song Hong Kong
Seonghan Ryu South Korea
Pavel Král Czechia
Steffen Zeiler Germany
Junfeng Zhang China
Wu Jun China
Banghua Zhu United States
Ankit Kumar relative to Martial Michel United States Martial Michel's profile →
Citations per field
00.5×10×20×29×
Martial Michel · 1×
Citations per year

Countries citing papers authored by Ankit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ankit Kumar, 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 Ankit Kumar Line = papers co-authored together Ankit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202033
2 201726
3 202423
4 202018
5
Continuous Hindi Speech Recognition using Monophone based Acoustic Modeling
201414
6 202214
7 202110
8 20208
9 20205
10 20244
11 20143
12 20232
13 20212
14 20242
15 20252
16 20231
17 20251
18 20251
19 20240
20 20230

About Ankit Kumar

Ankit Kumar is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Media Technology, having authored 20 papers that have together received 169 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Blockchain Technology Applications and Security (2 papers), Vehicle License Plate Recognition (2 papers), Spam and Phishing Detection (1 paper), Big Data and Business Intelligence (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Signal Processing (46 citations), Artificial Intelligence (89 citations), Business and International Management (2 citations), Health Informatics (1 citation) and Management Science and Operations Research (9 citations). Ankit Kumar has collaborated with scholars based in India, United States and Cyprus. Frequent co-authors include Rajesh Kumar Aggarwal, Pritiraj Mohanty, Surendrabikram Thapa, Avinash Kumar Jha, Surabhi Adhikari, Mohit Dua, Gautam Siddharth Kashyap, Md Tabrez Nafis, Prabhat K. Agnihotri and Manish Agrawal. Their work appears in journals such as Scientific Reports, Modelling and Simulation in Materials Science and Engineering, Journal of Reliable Intelligent Environments, International Journal of Speech Technology and International Journal of Information Technology.

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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