Sankalp Dayal

577 citations
4 papers · 397 indexed · 1 hit paper · h-index 3
Topics
Indoor and Outdoor Localization Technologies (3 papers)Emotion and Mood Recognition (1 paper)Speech and Audio Processing (1 paper)
Partner nations
United StatesIndiaCanada

In The Last Decade

Sankalp Dayal

4 papers receiving 384 citations

Hit Papers

A Survey on Behavior Recognition Using WiFi Channel State...20172026202020232017100200300

Peers

Sankalp Dayal
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 291
  • Computer Vision and Pattern Recognition 185
  • Computer Networks and Communications 169
  • Biomedical Engineering 80
  • Signal Processing 79
Replace Dazhuo Wang with:
Dazhuo Wang Singapore
Chunhai Feng China
Biyun Sheng China
Steven M. Hernandez United States
Mohammad Nabati United Kingdom
Jianyang Ding China
Jay Warrior India
Fuxiang Wu China
Sanjib Sur United States
Sankalp Dayal relative to Dazhuo Wang Singapore Dazhuo Wang's profile →
Citations per field
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Dazhuo Wang · 1×
Citations per year

Countries citing papers authored by Sankalp Dayal

Since Specialization
Citations

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

Fields of papers citing papers by Sankalp Dayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankalp Dayal

This figure shows the co-authorship network connecting the top 25 collaborators of Sankalp Dayal. A scholar is included among the top collaborators of Sankalp Dayal 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 Sankalp Dayal. Sankalp Dayal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 3
2
A Survey on Behavior Recognition Using WiFi Channel State Informationbreakdown →
391
3 2
4
Robust Attitude Estimation for Indoor Pedestrian Navigation Application using MEMS Sensors
1

About Sankalp Dayal

Sankalp Dayal is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Electrical and Electronic Engineering, having authored 4 papers that have together received 397 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (3 papers), Emotion and Mood Recognition (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Computer Networks and Communications (169 citations) and Signal Processing (79 citations). Sankalp Dayal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Shahrokh Valaee, Siamak Yousefi, Stefano Ermon and J.J. Shynk. Their work appears in journals such as IEEE Communications Magazine.

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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