Nithya Ramanathan

61 papers receiving 1.5k citations

Peers

Nithya Ramanathan
Comparison fields: 5 of 145
  • Energy Engineering and Power Technology 101
  • Pollution 371
  • Computer Science Applications 165
  • Applied Psychology 123
  • Human-Computer Interaction 96
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Gamal Alkawsi Malaysia
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Ang Li China
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Countries citing papers authored by Nithya Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by Nithya Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012118
2 2009105
3 201299
4 201984
5
Rapid Deployment with Confidence: Calibration and Fault Detection in Environmental Sensor Networks
200678
6 201076
7 201475
8 201573
9 201572
10 201162
11 200752
12 201251
13 201446
14 201545
15 200642
16
EmStar: a software environment for developing and deploying wireless sensor networks
200435
17
Participatory sensing - eScholarship
200635
18 201733
19 200933
20 201529

About Nithya Ramanathan

Nithya Ramanathan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, General Health Professions, Pollution and Mechanical Engineering, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Mobile Health and mHealth Applications (9 papers), Energy and Environment Impacts (9 papers), Modular Robots and Swarm Intelligence (8 papers), Innovative Human-Technology Interaction (7 papers), Air Quality and Health Impacts (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (101 citations), Pollution (371 citations), Computer Science Applications (165 citations), Applied Psychology (123 citations) and Human-Computer Interaction (96 citations). Nithya Ramanathan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Deborah Estrin, W. Scott Comulada, Dallas Swendeman, V. Ramanathan, Abhishek Kar, Mark Hansen, Lewis Girod, Mani Srivastava, Eddie Kohler and Ibrahim Hafeezur Rehman. Their work appears in journals such as Environmental Science & Technology, Atmospheric Environment, ACM Transactions on Sensor Networks, Energy Economics and Medical Physics.

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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