Prasan Kumar Sahoo

2.0k total citations
80 papers, 1.4k citations indexed

About

Prasan Kumar Sahoo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Prasan Kumar Sahoo has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 26 papers in Electrical and Electronic Engineering and 11 papers in Information Systems. Recurrent topics in Prasan Kumar Sahoo's work include Energy Efficient Wireless Sensor Networks (31 papers), Mobile Ad Hoc Networks (21 papers) and IoT and Edge/Fog Computing (13 papers). Prasan Kumar Sahoo is often cited by papers focused on Energy Efficient Wireless Sensor Networks (31 papers), Mobile Ad Hoc Networks (21 papers) and IoT and Edge/Fog Computing (13 papers). Prasan Kumar Sahoo collaborates with scholars based in Taiwan, India and Singapore. Prasan Kumar Sahoo's co-authors include Shih‐Lin Wu, Jang‐Ping Sheu, Chinmaya Kumar Dehury, Hiren Kumar Thakkar, Suvendu Kumar Mohapatra, Ming‐Yih Lee, Wei-Cheng Liao, I‐Shyan Hwang, Yen‐Wen Chen and Chih‐Yung Chang and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Prasan Kumar Sahoo

79 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasan Kumar Sahoo Taiwan 23 873 466 212 172 164 80 1.4k
Rajesh Arya India 14 276 0.3× 332 0.7× 54 0.3× 153 0.9× 152 0.9× 43 957
Abdullah Lakhan Pakistan 26 1.1k 1.2× 256 0.5× 93 0.4× 479 2.8× 934 5.7× 97 1.9k
Amir Haider South Korea 17 265 0.3× 317 0.7× 160 0.8× 231 1.3× 80 0.5× 64 1.0k
Anupam Kumar Bairagi Bangladesh 25 600 0.7× 594 1.3× 103 0.5× 539 3.1× 235 1.4× 70 2.0k
Javad Rezazadeh Iran 18 616 0.7× 721 1.5× 129 0.6× 172 1.0× 93 0.6× 46 1.5k
Kalamullah Ramli Indonesia 18 278 0.3× 134 0.3× 174 0.8× 270 1.6× 178 1.1× 151 1.0k
P. Nagaraj India 23 213 0.2× 156 0.3× 250 1.2× 363 2.1× 192 1.2× 135 1.4k
Ammar Awad Mutlag Malaysia 10 537 0.6× 102 0.2× 71 0.3× 239 1.4× 282 1.7× 13 959
M. M. A. Hashem Bangladesh 14 506 0.6× 93 0.2× 94 0.4× 520 3.0× 147 0.9× 70 1.1k
Daeyoung Kim South Korea 18 400 0.5× 139 0.3× 76 0.4× 159 0.9× 192 1.2× 95 961

Countries citing papers authored by Prasan Kumar Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Prasan Kumar Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasan Kumar Sahoo. 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 Prasan Kumar Sahoo. The network helps show where Prasan Kumar Sahoo may publish in the future.

Co-authorship network of co-authors of Prasan Kumar Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Prasan Kumar Sahoo. A scholar is included among the top collaborators of Prasan Kumar Sahoo 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 Prasan Kumar Sahoo. Prasan Kumar Sahoo 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.
Lee, Tsong‐Hai, et al.. (2025). Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume. Biomedicines. 13(2). 263–263. 1 indexed citations
2.
Sahoo, Prasan Kumar, et al.. (2024). Leveraging Edge Computing for Video Data Streaming in UAV-Based Emergency Response Systems. Sensors. 24(15). 5076–5076. 1 indexed citations
3.
Sahoo, Prasan Kumar, et al.. (2023). Localization of Colorectal Cancer Lesions in Contrast-Computed Tomography Images via a Deep Learning Approach. Bioengineering. 10(8). 972–972. 12 indexed citations
4.
Lee, Tsong‐Hai, et al.. (2023). Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach. Scientific Reports. 13(1). 19442–19442. 8 indexed citations
5.
Sahoo, Prasan Kumar, et al.. (2023). Healthcare Big Data Analysis with Artificial Neural Network for Cardiac Disease Prediction. Electronics. 13(1). 163–163. 5 indexed citations
6.
Sahoo, Prasan Kumar, et al.. (2022). Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach. Scientific Reports. 12(1). 18054–18054. 13 indexed citations
7.
Sahoo, Prasan Kumar, et al.. (2021). A Novel Method for Routing Packet between Patient and Doctor using Sensor and Cloud. 11. 1–5. 1 indexed citations
8.
Sahoo, Prasan Kumar, et al.. (2020). Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images. Diagnostics. 10(12). 1113–1113. 16 indexed citations
9.
Chiang, Sum-Fu, Prasan Kumar Sahoo, Suvendu Kumar Mohapatra, et al.. (2019). Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach. Cancers. 11(12). 2007–2007. 67 indexed citations
10.
Sahoo, Prasan Kumar & Hiren Kumar Thakkar. (2019). TLS: traffic load based scheduling protocol for wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing. 30(3). 150–150. 6 indexed citations
11.
Sahoo, Prasan Kumar, Hiren Kumar Thakkar, Wen‐Yen Lin, Po‐Cheng Chang, & Ming‐Yih Lee. (2018). On the Design of an Efficient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signals. Sensors. 18(2). 379–379. 53 indexed citations
12.
Sahoo, Prasan Kumar & Chinmaya Kumar Dehury. (2018). Efficient data and CPU-intensive job scheduling algorithms for healthcare cloud. Computers & Electrical Engineering. 68. 119–139. 10 indexed citations
13.
Sahoo, Prasan Kumar, et al.. (2017). Dynamic Spectrum Allocation Algorithms for Industrial Cognitive Radio Networks. IEEE Transactions on Industrial Informatics. 14(7). 3031–3043. 22 indexed citations
14.
Sahoo, Prasan Kumar, Chinmaya Kumar Dehury, & Bharadwaj Veeravalli. (2017). LVRM: On the Design of Efficient Link Based Virtual Resource Management Algorithm for Cloud Platforms. IEEE Transactions on Parallel and Distributed Systems. 29(4). 887–900. 14 indexed citations
15.
Sahoo, Prasan Kumar, et al.. (2016). Sequence-Based Channel Hopping Algorithms for Dynamic Spectrum Sharing in Cognitive Radio Networks. IEEE Journal on Selected Areas in Communications. 34(11). 2814–2828. 32 indexed citations
16.
Dehury, Chinmaya Kumar & Prasan Kumar Sahoo. (2016). Design and implementation of a novel service management framework for IoT devices in cloud. Journal of Systems and Software. 119. 149–161. 54 indexed citations
17.
Sahoo, Prasan Kumar, et al.. (2011). Connectivity Modeling of Vehicular Ad Hoc Networks in Signalized City Roads. 22–26. 6 indexed citations
18.
Sahoo, Prasan Kumar, et al.. (2010). Vector method based coverage hole recovery in Wireless Sensor Networks. 8. 1–9. 22 indexed citations
19.
Sahoo, Prasan Kumar, et al.. (2008). Novel route maintenance protocols for the Bluetooth ad hoc network with mobility. Journal of Network and Computer Applications. 31(4). 535–558. 12 indexed citations
20.
Sahoo, Prasan Kumar & Jang‐Ping Sheu. (2008). Modeling IEEE 802.15.4 based wireless sensor network with packet retry limits. 63–70. 33 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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