Gopika Premsankar

1.7k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Gopika Premsankar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gopika Premsankar has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gopika Premsankar's work include IoT and Edge/Fog Computing (6 papers), IoT Networks and Protocols (5 papers) and Caching and Content Delivery (4 papers). Gopika Premsankar is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), IoT Networks and Protocols (5 papers) and Caching and Content Delivery (4 papers). Gopika Premsankar collaborates with scholars based in Finland, Canada and Poland. Gopika Premsankar's co-authors include Mario Di Francesco, Tarik Taleb, Mariusz Słabicki, Bissan Ghaddar, Abbas Mehrabi, Behrouz Jedari, Antti Ylä-Jääski, Jose Costa‐Requena, Ijaz Ahmad and Madhusanka Liyanage and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.

In The Last Decade

Gopika Premsankar

17 papers receiving 1.1k citations

Hit Papers

Edge Computing for the In... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Edge Computing for the Internet of Things: A Case Study
    2018 479 citations Gopika Premsankar, Mario Di Francesco et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopika Premsankar Finland 11 861 547 261 157 119 17 1.2k
Wenhao Fan China 18 776 0.9× 445 0.8× 309 1.2× 94 0.6× 40 0.3× 72 1.1k
Abolfazl Hajisami United States 11 835 1.0× 532 1.0× 194 0.7× 156 1.0× 36 0.3× 22 1.1k
Ashok Kumar Turuk India 18 856 1.0× 418 0.8× 350 1.3× 82 0.5× 43 0.4× 140 1.1k
Rahul Yadav China 16 884 1.0× 393 0.7× 454 1.7× 121 0.8× 56 0.5× 49 1.1k
Atay Özgövde Türkiye 12 1.0k 1.2× 345 0.6× 421 1.6× 241 1.5× 47 0.4× 30 1.2k
Chieh-Jan Mike Liang United States 17 1.1k 1.2× 676 1.2× 151 0.6× 138 0.9× 130 1.1× 42 1.5k
Aref Meddeb Tunisia 16 611 0.7× 278 0.5× 188 0.7× 134 0.9× 58 0.5× 83 912
Francisco Vázquez-Gallego Spain 14 593 0.7× 562 1.0× 121 0.5× 89 0.6× 134 1.1× 59 888
Katsuya Suto Japan 15 1.0k 1.2× 610 1.1× 303 1.2× 160 1.0× 42 0.4× 48 1.4k
Abdelhak Mourad Gueroui France 18 845 1.0× 598 1.1× 107 0.4× 118 0.8× 84 0.7× 48 1.2k

Countries citing papers authored by Gopika Premsankar

Since Specialization
Citations

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

Fields of papers citing papers by Gopika Premsankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopika Premsankar

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

All Works

17 of 17 papers shown
1.
Premsankar, Gopika, et al.. (2025). Are We Measuring What Matters? Reframing Evaluation of Extended Reality for Industry 5.0 Work Environments. Aaltodoc (Aalto University). 223–228. 1 indexed citations
2.
Xu, Dianlei, Xiang Su, Gopika Premsankar, et al.. (2025). Dynamic Hierarchical Reinforcement Learning Framework for Energy-Efficient 5G Base Stations in Urban Environments. IEEE Transactions on Mobile Computing. 24(9). 8582–8599. 2 indexed citations
3.
Premsankar, Gopika, et al.. (2024). A robust optimization approach for placement of applications in edge computing considering latency uncertainty. Omega. 126. 103064–103064. 2 indexed citations
4.
Premsankar, Gopika & Bissan Ghaddar. (2022). Energy-Efficient Service Placement for Latency-Sensitive Applications in Edge Computing. IEEE Internet of Things Journal. 9(18). 17926–17937. 24 indexed citations
5.
Premsankar, Gopika, et al.. (2022). InDepth. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(1). 1–25. 18 indexed citations
6.
Premsankar, Gopika, et al.. (2022). Here To Stay: A Quantitative Comparison of Virtual Object Stability in Markerless Mobile AR. Työväentutkimus Vuosikirja. 24–29. 9 indexed citations
7.
Premsankar, Gopika, et al.. (2022). Learning How to Configure LoRa Networks With No Regret: A Distributed Approach. IEEE Transactions on Industrial Informatics. 19(4). 5633–5644. 4 indexed citations
8.
Premsankar, Gopika, et al.. (2021). Modeling Communication Reliability in LoRa Networks with Device-level Accuracy. Aaltodoc (Aalto University). 1–10. 18 indexed citations
9.
Premsankar, Gopika, et al.. (2021). Data-Driven Energy Conservation in Cellular Networks: A Systems Approach. IEEE Transactions on Network and Service Management. 18(3). 3567–3582. 6 indexed citations
10.
Premsankar, Gopika, Bissan Ghaddar, Mariusz Słabicki, & Mario Di Francesco. (2020). Optimal Configuration of LoRa Networks in Smart Cities. IEEE Transactions on Industrial Informatics. 16(12). 7243–7254. 75 indexed citations
11.
Jedari, Behrouz, et al.. (2020). Video Caching, Analytics, and Delivery at the Wireless Edge: A Survey and Future Directions. IEEE Communications Surveys & Tutorials. 23(1). 431–471. 94 indexed citations
12.
Słabicki, Mariusz, Gopika Premsankar, & Mario Di Francesco. (2018). Adaptive configuration of lora networks for dense IoT deployments. Aaltodoc (Aalto University). 1–9. 219 indexed citations
13.
Premsankar, Gopika, et al.. (2018). An Evaluation of Open Source Serverless Computing Frameworks. Aaltodoc (Aalto University). 115–120. 73 indexed citations
14.
Premsankar, Gopika, et al.. (2018). Efficient placement of edge computing devices for vehicular applications in smart cities. Aaltodoc (Aalto University). 1–9. 49 indexed citations
15.
Premsankar, Gopika, Mario Di Francesco, & Tarik Taleb. (2018). Edge Computing for the Internet of Things: A Case Study. IEEE Internet of Things Journal. 5(2). 1275–1284. 479 indexed citations breakdown →
16.
Premsankar, Gopika, et al.. (2015). Design and Implementation of a Distributed Mobility Management Entity on OpenStack. 15 indexed citations
17.
Costa‐Requena, Jose, Gopika Premsankar, Ijaz Ahmad, et al.. (2015). SDN and NFV integration in generalized mobile network architecture. 154–158. 67 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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