Valmik Tilwari

591 total citations
30 papers, 355 citations indexed

About

Valmik Tilwari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Valmik Tilwari has authored 30 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Valmik Tilwari's work include Indoor and Outdoor Localization Technologies (7 papers), IoT and Edge/Fog Computing (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Valmik Tilwari is often cited by papers focused on Indoor and Outdoor Localization Technologies (7 papers), IoT and Edge/Fog Computing (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Valmik Tilwari collaborates with scholars based in Sri Lanka, India and South Korea. Valmik Tilwari's co-authors include Kaharudin Dimyati, I. S. Amiri, Faizan Qamar, P. Jayarajan, Anas Fattouh, T. Sundararajan, Sangheon Pack, A. Sampathkumar, Maheshi B. Dissanayake and R. Maheswar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal.

In The Last Decade

Valmik Tilwari

23 papers receiving 333 citations

Peers

Valmik Tilwari
Haitham Mahmoud United Kingdom
Mohammed Abdel‐Hafez United Arab Emirates
Sinan Kurt Türkiye
Valmik Tilwari
Citations per year, relative to Valmik Tilwari Valmik Tilwari (= 1×) peers Mudi Xiong

Countries citing papers authored by Valmik Tilwari

Since Specialization
Citations

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

Fields of papers citing papers by Valmik Tilwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valmik Tilwari

This figure shows the co-authorship network connecting the top 25 collaborators of Valmik Tilwari. A scholar is included among the top collaborators of Valmik Tilwari 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 Valmik Tilwari. Valmik Tilwari 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.
Keserwani, Pankaj Kumar, et al.. (2025). Utilizing Duplicate Announcements for BGP Anomaly Detection. Telecom. 6(1). 11–11.
3.
Keserwani, Pankaj Kumar, et al.. (2025). Optimal Partitioning of Unbalanced Datasets for BGP Anomaly Detection. Telecom. 6(2). 25–25. 1 indexed citations
5.
Tilwari, Valmik, et al.. (2024). An Improved Wi-Fi RSSI-Based Indoor Localization Approach Using Deep Randomized Neural Network. IEEE Transactions on Vehicular Technology. 73(12). 18593–18604. 5 indexed citations
6.
Tilwari, Valmik, et al.. (2024). A Systematic Review of Electroencephalography-Based Emotion Recognition of Confusion Using Artificial Intelligence. SHILAP Revista de lepidopterología. 5(2). 244–263. 1 indexed citations
7.
Tilwari, Valmik, et al.. (2024). AI-Enabled 6G Internet of Things: Opportunities, Key Technologies, Challenges, and Future Directions. SHILAP Revista de lepidopterología. 5(3). 804–822. 12 indexed citations
8.
Tilwari, Valmik, et al.. (2024). Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms. SHILAP Revista de lepidopterología. 11(1). 5 indexed citations
9.
Tilwari, Valmik, et al.. (2024). An Overview for Designing 6G Networks: Technologies, Spectrum Management, Enhanced Air Interface, and AI/ML Optimization. IEEE Internet of Things Journal. 12(6). 6133–6157. 4 indexed citations
11.
Tilwari, Valmik, et al.. (2023). Improved RSSI Indoor Localization in IoT Systems with Machine Learning Algorithms. SHILAP Revista de lepidopterología. 4(4). 651–668. 13 indexed citations
12.
Tilwari, Valmik, et al.. (2023). A Review of Indoor Positioning Systems for UAV Localization with Machine Learning Algorithms. Electronics. 12(7). 1533–1533. 37 indexed citations
14.
Tilwari, Valmik, et al.. (2023). An Experimental Testbed For Rssi-Based Indoor Localization With Lora. 538. 316–321. 1 indexed citations
16.
Jayarajan, P., et al.. (2021). Routing constraints in the device-to-device communication for beyond IoT 5G networks: a review. Wireless Networks. 27(5). 3207–3231. 16 indexed citations
17.
Maheswar, R., P. Jayarajan, A. Sampathkumar, et al.. (2021). CBPR: A Cluster-Based Backpressure Routing for the Internet of Things. Wireless Personal Communications. 118(4). 3167–3185. 14 indexed citations
18.
19.
Tilwari, Valmik, R. Maheswar, P. Jayarajan, et al.. (2020). MCLMR: A Multicriteria Based Multipath Routing in the Mobile Ad Hoc Networks. Wireless Personal Communications. 112(4). 2461–2483. 43 indexed citations
20.
Amiri, I. S., et al.. (2019). DABPR: a large-scale internet of things-based data aggregation back pressure routing for disaster management. Wireless Networks. 26(4). 2353–2374. 27 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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