Akash Deep Singh

563 citations
20 papers · 362 · h-index 7

Impact in

Papers in

Akash Deep Singh

17 papers receiving 360 citations

Peers

Akash Deep Singh
Comparison fields: 5 of 70
  • Human-Computer Interaction 51
  • Instrumentation 19
  • Computer Vision and Pattern Recognition 105
  • Signal Processing 45
  • Aerospace Engineering 100
Replace Dave Tahmoush with:
Dave Tahmoush United States
Sanjib Sur United States
Chih‐Yuan Yao Taiwan
José M. Rebordão Portugal
Muhammad Dawood United States
Kedar A. Patwardhan United States
Tomio Echigo Japan
Xiaolin Liang China
Randolf Ebelt Germany
Akash Deep Singh relative to Dave Tahmoush United States Dave Tahmoush's profile →
Citations per field
00.5×
Dave Tahmoush · 1×
Citations per year

Countries citing papers authored by Akash Deep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Akash Deep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akash Deep Singh. 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 Akash Deep Singh. The network helps show where Akash Deep Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Akash Deep Singh, 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 Akash Deep Singh Line = papers co-authored together Akash Deep Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019198
2 202044
3 202328
4 202222
5 202021
6 201814
7 20227
8 20246
9 20206
10 20225
11 20193
12 20172
13 20222
14 20221
15 20171
16 20151
17 20241
18 20250
19 20240
20 20230

About Akash Deep Singh

Akash Deep Singh is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 362 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), Advanced SAR Imaging Techniques (2 papers), Speech and Audio Processing (2 papers), Fire Detection and Safety Systems (1 paper), Optical measurement and interference techniques (1 paper), Microwave Imaging and Scattering Analysis (1 paper) and Fuel Cells and Related Materials (1 paper). The work is most often cited by research in Human-Computer Interaction (51 citations), Instrumentation (19 citations), Computer Vision and Pattern Recognition (105 citations), Signal Processing (45 citations) and Aerospace Engineering (100 citations). Akash Deep Singh has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Mani Srivastava, Luis Antonio Ribot García, Sandeep Singh Sandha, William M. Jones, Ziqi Wang, Zhe Chen, Jun Luo, Shobha Sundar Ram, Shelly Vishwakarma and Ankur Sarker. Their work appears in journals such as Journal of the American Medical Informatics Association, ACM Transactions on Privacy and Security, Wireless Personal Communications, Scientific Reports and International Journal for Research in Applied Science and Engineering 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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