Vikram Iyer

42 papers receiving 1.4k citations

Vikram Iyer's Hit Papers

FingerIO 2016 · 329 citations
3290+3+6Years since publication100200300

Peers

Vikram Iyer
Comparison fields: 5 of 111
  • Human-Computer Interaction 237
  • Signal Processing 148
  • Electrical and Electronic Engineering 712
  • Aerospace Engineering 253
  • Cognitive Neuroscience 143
Replace Ke Sun with:
Ke Sun China
Mustafa Emre Karagozler United States
Jaime Valls Miró Australia
Tomomasa Sato Japan
David C. Yates United Kingdom
Dong Hwan Kim South Korea
Toshiharu Mukai Japan
Pat Pannuto United States
Darrin J. Young United States
Yuxin Peng China
Vikram Iyer relative to Ke Sun China Ke Sun's profile →
Citations per field
00.5×1.5×2.0×
Ke Sun · 1×
Citations per year

Countries citing papers authored by Vikram Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikram Iyer, 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 Vikram Iyer Line = papers co-authored together Vikram Iyer 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
FingerIO
Hit paper breakdown →
2016329
2 2016268
3 202299
4 201895
5 202080
6 201877
7 201866
8 202457
9 201744
10 202337
11 202227
12 202226
13 201626
14 202123
15 202420
16 202118
17 202018
18 202412
19 202311
20 202310

About Vikram Iyer

Vikram Iyer is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Aerospace Engineering, Mechanical Engineering and Human-Computer Interaction, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (15 papers), Biomimetic flight and propulsion mechanisms (6 papers), Wireless Body Area Networks (5 papers), Modular Robots and Swarm Intelligence (5 papers), Underwater Vehicles and Communication Systems (4 papers), Green IT and Sustainability (4 papers), Innovative Human-Technology Interaction (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Human-Computer Interaction (237 citations), Signal Processing (148 citations), Electrical and Electronic Engineering (712 citations), Aerospace Engineering (253 citations) and Cognitive Neuroscience (143 citations). Vikram Iyer has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Shyamnath Gollakota, Rajalakshmi Nandakumar, Desney Tan, Vamsi Talla, Joshua R. Smith, Bryce Kellogg, Sawyer B. Fuller, Thomas L. Daniel, Justin Chan and Ali Najafi. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Science Robotics, ACM Transactions on Graphics, Nature Sustainability and Scientific Reports.

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.

Explore authors with similar magnitude of impact