Pratik Goswami

800 total citations
31 papers, 575 citations indexed

About

Pratik Goswami is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Pratik Goswami has authored 31 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 19 papers in Electrical and Electronic Engineering and 3 papers in Signal Processing. Recurrent topics in Pratik Goswami's work include Energy Efficient Wireless Sensor Networks (12 papers), Cognitive Radio Networks and Spectrum Sensing (8 papers) and IoT and Edge/Fog Computing (8 papers). Pratik Goswami is often cited by papers focused on Energy Efficient Wireless Sensor Networks (12 papers), Cognitive Radio Networks and Spectrum Sensing (8 papers) and IoT and Edge/Fog Computing (8 papers). Pratik Goswami collaborates with scholars based in China, India and South Korea. Pratik Goswami's co-authors include Amrit Mukherjee, Lixia Yang, Ziwei Yan, Joel J. P. C. Rodrigues, Ranjay Hazra, Sumarga Kumar Sah Tyagi, Prashant Pillai, Mohammad Ayoub Khan, Uttam Ghosh and Sidheswar Routray and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Pratik Goswami

28 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratik Goswami China 13 372 302 65 64 33 31 575
Premkumar Chithaluru India 15 418 1.1× 292 1.0× 97 1.5× 101 1.6× 41 1.2× 41 624
Xin Miao China 12 319 0.9× 210 0.7× 51 0.8× 48 0.8× 59 1.8× 35 519
Shuja Ansari United Kingdom 14 250 0.7× 336 1.1× 69 1.1× 77 1.2× 40 1.2× 66 567
Yinzhi Lu China 12 322 0.9× 198 0.7× 88 1.4× 73 1.1× 60 1.8× 13 515
Yi‐Wei Ma Taiwan 12 246 0.7× 151 0.5× 51 0.8× 104 1.6× 28 0.8× 72 509
Wael Guibène United States 10 289 0.8× 279 0.9× 28 0.4× 42 0.7× 30 0.9× 37 442
Bassey Isong South Africa 11 371 1.0× 292 1.0× 57 0.9× 107 1.7× 17 0.5× 78 619
Kai‐Wen Hu Taiwan 11 324 0.9× 236 0.8× 98 1.5× 71 1.1× 35 1.1× 43 487
Soltan Alharbi Saudi Arabia 10 218 0.6× 212 0.7× 64 1.0× 93 1.5× 59 1.8× 17 454
Shirshu Varma India 15 455 1.2× 367 1.2× 51 0.8× 71 1.1× 48 1.5× 62 658

Countries citing papers authored by Pratik Goswami

Since Specialization
Citations

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

Fields of papers citing papers by Pratik Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratik Goswami

This figure shows the co-authorship network connecting the top 25 collaborators of Pratik Goswami. A scholar is included among the top collaborators of Pratik Goswami 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 Pratik Goswami. Pratik Goswami 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.
Yadav, Kusum, Lulwah M. Alkwai, Devendra Kumar Sharma, et al.. (2025). An Enhanced Rule-Based Fuzzy Segmentation Approach for Automated Urban Feature Extraction Using High-Resolution Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23828–23839.
2.
3.
Mukherjee, Amrit, et al.. (2025). Smart Manufacturing in Industrial AIoT 5.0 Applications: A Speech Emotion Recognition Approach. IEEE Internet of Things Journal. 12(20). 42693–42701.
4.
Goswami, Pratik, et al.. (2024). A Novel Approach of Efficient Resource Allocation in Smart Consumer Electronics Device Network. IEEE Transactions on Consumer Electronics. 70(3). 5895–5902. 3 indexed citations
5.
Mukherjee, Amrit, et al.. (2024). Data Driven Neural Speech Enhancement for Smart Healthcare in Consumer Electronics Applications. IEEE Transactions on Consumer Electronics. 70(2). 4828–4838. 8 indexed citations
6.
Hazra, Ranjay, et al.. (2023). Power Optimization in a Multicell D2D Communication for Smart City in an mm-Wave Cellular Network: An mIoT Perspective. IEEE Internet of Things Journal. 10(21). 18686–18694. 7 indexed citations
7.
Hazra, Ranjay, et al.. (2021). A Bidirectional Relay-Assisted Underlay Device-to-Device Communication in Cellular Networks: An IoT Application for FinTech. IEEE Internet of Things Journal. 10(3). 2174–2182. 10 indexed citations
8.
Tyagi, Sumarga Kumar Sah, Pratik Goswami, Shiva Raj Pokhrel, & Amrit Mukherjee. (2021). Internet of Things for Healthcare: An Intelligent and Energy Efficient Position Detection Algorithm. IEEE Transactions on Industrial Informatics. 18(8). 5458–5465. 10 indexed citations
9.
Goswami, Pratik, Amrit Mukherjee, Ranjay Hazra, et al.. (2021). AI Based Energy Efficient Routing Protocol for Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 23(2). 1670–1679. 59 indexed citations
10.
Goswami, Pratik, Amrit Mukherjee, Lixia Yang, et al.. (2021). Distributed Artificial Intelligence Empowered Sustainable Cognitive Radio Sensor Networks: A Smart City on-demand Perspective. Sustainable Cities and Society. 75. 103265–103265. 22 indexed citations
11.
Mukherjee, Amrit, et al.. (2020). Energy-Efficient Resource Allocation Strategy in Massive IoT for Industrial 6G Applications. IEEE Internet of Things Journal. 8(7). 5194–5201. 91 indexed citations
12.
Xin, Qin, et al.. (2020). Energy-Efficient Dynamic Clustering for IoT Applications: A Neural Network Approach. 1–7. 15 indexed citations
13.
Mukherjee, Amrit, et al.. (2020). Green Cooperative Communication Based Cognitive Radio Sensor Networks for IoT Applications. 1–6. 7 indexed citations
14.
Mukherjee, Amrit, Pratik Goswami, Lixia Yang, et al.. (2020). Deep neural network-based clustering technique for secure IIoT. Neural Computing and Applications. 32(20). 16109–16117. 23 indexed citations
15.
Goswami, Pratik, Amrit Mukherjee, Pushpita Chatterjee, & Lixia Yang. (2020). An Optimal Resource Allocation Method for IIoT Network. 31–36. 7 indexed citations
16.
Mukherjee, Amrit, Pratik Goswami, & Lixia Yang. (2020). DAI based wireless sensor network for multimedia applications. Multimedia Tools and Applications. 80(11). 16619–16633. 5 indexed citations
17.
Mukherjee, Amrit, Pratik Goswami, Ziwei Yan, Lixia Yang, & Joel J. P. C. Rodrigues. (2019). ADAI and Adaptive PSO-Based Resource Allocation for Wireless Sensor Networks. IEEE Access. 7. 131163–131171. 50 indexed citations
18.
Mukherjee, Amrit, Pratik Goswami, & Lixia Yang. (2019). Distributed Artificial Intelligence Based Cluster Head Power Allocation in Cognitive Radio Sensor Networks. IEEE Sensors Letters. 3(8). 1–4. 21 indexed citations
19.
Goswami, Pratik, et al.. (2012). Evaluating the performance of routing protocols in Wireless Sensor Networks. 1. 1–4. 5 indexed citations
20.
Ramesh, L., et al.. (2007). Distributed state estimation technique for active distribution networks. 861–866. 9 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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