Akashdeep Sharma

1.3k citations
46 papers · 842 · 1 hit paper · h-index 12

Impact in

Papers in

Akashdeep Sharma

44 papers receiving 806 citations

Akashdeep Sharma's Hit Papers

Deep learning-based object detection in low-altitude UAV datasets: A survey 2020 · 225 citations
2250+2+4Years since publication50100150200

Peers

Akashdeep Sharma
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 376
  • Signal Processing 125
  • Computer Networks and Communications 216
  • Artificial Intelligence 238
  • Aerospace Engineering 143
Replace David Ndzi with:
David Ndzi United Kingdom
F.W. Cathey United States
Liang Song China
Wenqiang Xu China
Thokozani Shongwe South Africa
Miguel Á. Patricio Spain
Ruizhi Sun China
Preeti Nagrath India
Akashdeep Sharma relative to David Ndzi United Kingdom David Ndzi's profile →
Citations per field
00.5×2.9×
David Ndzi · 1×
Citations per year

Countries citing papers authored by Akashdeep Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Akashdeep Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning-based object detection in low-altitude UAV datasets: A survey
Hit paper breakdown →
2020225
2 2017172
3 202159
4 202149
5 201845
6 202442
7 202133
8 202226
9 202315
10 202313
11 202212
12 202311
13 202310
14 20239
15 20239
16 20198
17 20228
18 20148
19 20148
20 20207

About Akashdeep Sharma

Akashdeep Sharma is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Signal Processing, having authored 46 papers that have together received 842 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Wireless Network Optimization (4 papers), Human Pose and Action Recognition (4 papers), Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Signal Processing (125 citations), Computer Networks and Communications (216 citations), Artificial Intelligence (238 citations) and Aerospace Engineering (143 citations). Akashdeep Sharma has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Payal Mittal, Raman Singh, Neeraj Kumar, Manisha Kaushal, Arvind Kalia, Baljit Singh Khehra, Arun Kumar Sangaiah, Karanjeet Singh Kahlon, Harish Kumar and Yi‐Bing Lin. Their work appears in journals such as Expert Systems with Applications, Optik, Wireless Personal Communications, Multimedia Tools and Applications and Ecological Informatics.

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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