Saideep Tiku

407 total citations
15 papers, 210 citations indexed

About

Saideep Tiku is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Signal Processing. According to data from OpenAlex, Saideep Tiku has authored 15 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Ocean Engineering and 10 papers in Signal Processing. Recurrent topics in Saideep Tiku's work include Indoor and Outdoor Localization Technologies (12 papers), Underwater Vehicles and Communication Systems (11 papers) and Speech and Audio Processing (10 papers). Saideep Tiku is often cited by papers focused on Indoor and Outdoor Localization Technologies (12 papers), Underwater Vehicles and Communication Systems (11 papers) and Speech and Audio Processing (10 papers). Saideep Tiku collaborates with scholars based in United States. Saideep Tiku's co-authors include Sudeep Pasricha, Liping Wang, Qi Han, Branislav M. Notaroš, Partha Pratim Pande, Janardhan Rao Doppa and Krishnendu Chakrabarty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Systems Architecture and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Saideep Tiku

15 papers receiving 208 citations

Peers

Saideep Tiku
Wafa Njima France
Mohamed I. AlHajri United Arab Emirates
Jakob Link Germany
Wafa Njima France
Saideep Tiku
Citations per year, relative to Saideep Tiku Saideep Tiku (= 1×) peers Wafa Njima

Countries citing papers authored by Saideep Tiku

Since Specialization
Citations

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

Fields of papers citing papers by Saideep Tiku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saideep Tiku

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

All Works

15 of 15 papers shown
2.
Tiku, Saideep, et al.. (2023). STELLAR: Siamese Multiheaded Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity With Indoor Localization. SHILAP Revista de lepidopterología. 1. 115–129. 8 indexed citations
3.
Tiku, Saideep, et al.. (2023). SANGRIA: Stacked Autoencoder Neural Networks With Gradient Boosting for Indoor Localization. IEEE Embedded Systems Letters. 16(2). 142–145. 9 indexed citations
4.
Tiku, Saideep & Sudeep Pasricha. (2022). Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1215–1220. 8 indexed citations
5.
Tiku, Saideep, et al.. (2022). Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization. 1–8. 15 indexed citations
6.
Wang, Liping, Saideep Tiku, & Sudeep Pasricha. (2021). CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization With Deep Learning. IEEE Embedded Systems Letters. 14(1). 23–26. 28 indexed citations
7.
Tiku, Saideep, Sudeep Pasricha, Branislav M. Notaroš, & Qi Han. (2020). A Hidden Markov Model based smartphone heterogeneity resilient portable indoor localization framework. Journal of Systems Architecture. 108. 101806–101806. 8 indexed citations
8.
Tiku, Saideep & Sudeep Pasricha. (2019). Overcoming Security Vulnerabilities in Deep Learning--based Indoor Localization Frameworks on Mobile Devices. ACM Transactions on Embedded Computing Systems. 18(6). 1–24. 14 indexed citations
9.
Tiku, Saideep, Sudeep Pasricha, Branislav M. Notaroš, & Qi Han. (2019). SHERPA: A Lightweight Smartphone Heterogeneity Resilient Portable Indoor Localization Framework. 1–8. 7 indexed citations
10.
Tiku, Saideep & Sudeep Pasricha. (2019). PortLoc: A Portable Data-Driven Indoor Localization Framework for Smartphones. IEEE Design and Test. 36(5). 18–26. 6 indexed citations
11.
Tiku, Saideep, et al.. (2018). Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices. 117–122. 54 indexed citations
12.
Pasricha, Sudeep, et al.. (2017). Special session paper: data analytics enables energy- efficiency and robustness: from mobile to manycores, datacenters, and networks. 1 indexed citations
13.
Tiku, Saideep, et al.. (2017). Indoor Localization with Smartphones: Harnessing the Sensor Suite in Your Pocket. IEEE Consumer Electronics Magazine. 6(4). 70–80. 33 indexed citations
14.
Pasricha, Sudeep, et al.. (2017). Data analytics enables energy-efficiency and robustness. 1–10. 1 indexed citations
15.
Tiku, Saideep & Sudeep Pasricha. (2017). Energy-efficient and robust middleware prototyping for smart mobile computing. 2–8. 4 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.

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