D. K. Arvind

1.4k citations
80 papers · 956 · h-index 18

Impact in

Papers in

D. K. Arvind

71 papers receiving 922 citations

Peers

D. K. Arvind
Comparison fields: 5 of 108
  • Computer Networks and Communications 267
  • Biomedical Engineering 342
  • Computer Vision and Pattern Recognition 156
  • Physical Therapy, Sports Therapy and Rehabilitation 29
  • Health, Toxicology and Mutagenesis 89
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Countries citing papers authored by D. K. Arvind

Since Specialization
Citations

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

Fields of papers citing papers by D. K. Arvind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. K. Arvind. 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 D. K. Arvind. The network helps show where D. K. Arvind may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 200670
3 202069
4 200767
5 200749
6 202034
7
IMUSim: A simulation environment for inertial sensing algorithm design and evaluation
201134
8 201133
9 200531
10 201128
11 201427
12
Advanced Robotics, 2009. ICAR 2009. International Conference on
200924
13 201522
14
Proceedings of the ICST 3rd International Conference on Body Area Networks
200820
15 201320
16 200819
17
Body Sensor Networks (BSN), 2011 International Conference on
201118
18 201618
19 202217
20 201017

About D. K. Arvind

D. K. Arvind is a scholar working on Computer Networks and Communications, Biomedical Engineering, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 956 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (14 papers), Non-Invasive Vital Sign Monitoring (12 papers), Respiratory Support and Mechanisms (8 papers), Indoor and Outdoor Localization Technologies (8 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Context-Aware Activity Recognition Systems (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (267 citations), Biomedical Engineering (342 citations), Computer Vision and Pattern Recognition (156 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations) and Health, Toxicology and Mutagenesis (89 citations). D. K. Arvind has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Andrew Bates, Kai-Juan Wong, Gordon B. Drummond, Hugh Leather, J. Mann, Robert Evans, James R. Mathews, Santiago Giavedoni, Subramanian Ramamoorthy and Philip Demokritou. Their work appears in journals such as British Journal of Anaesthesia, ERJ Open Research, International Journal of Human-Computer Interaction, npj Primary Care Respiratory Medicine and Natural Computing.

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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