Nirvana Meratnia

4.8k total citations · 1 hit paper
160 papers, 2.9k citations indexed

About

Nirvana Meratnia is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Nirvana Meratnia has authored 160 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 75 papers in Electrical and Electronic Engineering and 27 papers in Signal Processing. Recurrent topics in Nirvana Meratnia's work include Energy Efficient Wireless Sensor Networks (48 papers), Indoor and Outdoor Localization Technologies (43 papers) and Energy Harvesting in Wireless Networks (18 papers). Nirvana Meratnia is often cited by papers focused on Energy Efficient Wireless Sensor Networks (48 papers), Indoor and Outdoor Localization Technologies (43 papers) and Energy Harvesting in Wireless Networks (18 papers). Nirvana Meratnia collaborates with scholars based in Netherlands, Germany and Italy. Nirvana Meratnia's co-authors include Paul Havinga, Yang Zhang, Majid Bahrepour, Salvador Climent, Yang Zhang, Antonio-José Sánchez-Salmerón, Yang Zhang, R.A. de By, Duc V. Le and Geert Heijenk and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Optics Express.

In The Last Decade

Nirvana Meratnia

151 papers receiving 2.8k citations

Hit Papers

Outlier Detection Techniques for Wireless Sensor Networks... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nirvana Meratnia Netherlands 27 1.6k 945 870 435 280 160 2.9k
Manuel Roveri Italy 25 897 0.6× 717 0.8× 1.4k 1.6× 95 0.2× 345 1.2× 119 2.8k
Yuan He China 36 2.6k 1.7× 2.4k 2.6× 370 0.4× 419 1.0× 298 1.1× 193 4.3k
Branislav Kusý Australia 27 2.7k 1.7× 1.7k 1.8× 238 0.3× 517 1.2× 426 1.5× 108 4.1k
Yan Yu China 29 1.6k 1.0× 1.5k 1.6× 243 0.3× 318 0.7× 280 1.0× 102 3.5k
Stefano Chessa Italy 28 2.2k 1.4× 1.6k 1.7× 366 0.4× 281 0.6× 497 1.8× 175 3.6k
Lin Gu China 36 4.2k 2.7× 2.1k 2.2× 753 0.9× 206 0.5× 719 2.6× 146 5.3k
John Anderson Canada 11 3.2k 2.0× 1.5k 1.5× 303 0.3× 227 0.5× 533 1.9× 44 3.9k
Alan Mainwaring United States 13 3.7k 2.4× 1.7k 1.8× 313 0.4× 259 0.6× 492 1.8× 22 4.5k
Amy L. Murphy Italy 30 2.5k 1.6× 965 1.0× 387 0.4× 85 0.2× 643 2.3× 104 3.3k
Lewis Girod United States 26 5.3k 3.4× 2.7k 2.8× 547 0.6× 936 2.2× 700 2.5× 66 7.5k

Countries citing papers authored by Nirvana Meratnia

Since Specialization
Citations

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

Fields of papers citing papers by Nirvana Meratnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirvana Meratnia

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

All Works

20 of 20 papers shown
1.
Peltonen, Ella, Suzan Bayhan, David Bermbach, et al.. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing. 29(2). 8–18.
2.
Özçelebi, Tanır, et al.. (2024). FedCode: Communication-Efficient Federated Learning via Transferring Codebooks. TU/e Research Portal. 99–109. 4 indexed citations
3.
Meratnia, Nirvana, et al.. (2024). Improving Robustness of Compressed Models with Weight Sharing through Knowledge Distillation. TU/e Research Portal. 2. 13–21.
4.
Miao, Yang, et al.. (2023). 26 GHz OFDM and 77 GHz FMCW Radar Dataset for Domain Shift Invariant Blockage Prediction. Lirias (KU Leuven). 1–6. 1 indexed citations
5.
Verhoeven, Richard, et al.. (2023). Use of Domain Labels during Pre-Training for Domain-Independent WiFi-CSI Gesture Recognition. Sensors. 23(22). 9233–9233. 1 indexed citations
6.
Saeed, Aaqib, et al.. (2023). Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. ACM Transactions on Intelligent Systems and Technology. 15(2). 1–26. 9 indexed citations
7.
Kollenburg, Geert van, et al.. (2022). Value proposition of predictive discarding in semiconductor manufacturing. Production Planning & Control. 35(5). 525–534. 4 indexed citations
8.
Özçelebi, Tanır, et al.. (2020). Millimeter Wave Sensing: A Review of Application Pipelines and Building\n Blocks. arXiv (Cornell University). 2 indexed citations
9.
Meratnia, Nirvana, et al.. (2019). Horsing Around—A Dataset Comprising Horse Movement. Data. 4(4). 131–131. 17 indexed citations
10.
Havinga, Paul, et al.. (2016). SpinSafe: An unsupervised smartphone-based wheelchair path monitoring system. University of Twente Research Information. 1–6. 5 indexed citations
11.
Moseley, N.A., et al.. (2015). Proteus II: Design and Evaluation of an Integrated Power-Efficient Underwater Sensor Node. International Journal of Distributed Sensor Networks. 2015. 1–10. 9 indexed citations
12.
Meratnia, Nirvana, et al.. (2013). An energy-efficient adaptive sampling scheme for wireless sensor networks. University of Twente Research Information. 231–236. 18 indexed citations
13.
Meratnia, Nirvana, et al.. (2013). \t On QoS Guarantees of Error Control Schemes for Data Dissemination in a Chain-based Wireless Sensor Networks. SHILAP Revista de lepidopterología.
14.
Meratnia, Nirvana, et al.. (2010). Cumulus Humilis: Wireless Mesh Networking for Gliders. University of Twente Research Information. 35(1). 16–22. 1 indexed citations
15.
Bahrepour, Majid, Nirvana Meratnia, & Paul Havinga. (2009). Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks. University of Twente Research Information. 311–321. 33 indexed citations
16.
Bahrepour, Majid, Nirvana Meratnia, & Paul Havinga. (2008). Automatic Fire Detection: A Survey from Wireless Sensor Network Perspective. University of Twente Research Information. 46 indexed citations
17.
Meratnia, Nirvana, et al.. (2008). Outlier Detection Techniques For Wireless Sensor Networks: A Survey. University of Twente Research Information. 14 indexed citations
18.
Zhang, Y., Nirvana Meratnia, & Paul Havinga. (2007). A taxonomy framework for unsupervised outlier detection techniques for multi-type data sets. University of Twente Research Information. 28 indexed citations
19.
Meratnia, Nirvana, Paul Havinga, Luciana Moreira Sá de Souza, et al.. (2007). Decentralized Enterprise Systems: A Multi-platform Wireless Sensor Networks Approach. CTIT technical report series. 5 indexed citations
20.
Muthukrishnan, Kavitha, et al.. (2006). Using time-of-flight for WLAN localization: feasibility study. CTIT technical report series. 7 indexed citations

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

Rankless by CCL
2026