Binod Kumar Pattanayak

1.8k total citations
95 papers, 646 citations indexed

About

Binod Kumar Pattanayak is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Binod Kumar Pattanayak has authored 95 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 24 papers in Electrical and Electronic Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Binod Kumar Pattanayak's work include Mobile Ad Hoc Networks (35 papers), Opportunistic and Delay-Tolerant Networks (29 papers) and Vehicular Ad Hoc Networks (VANETs) (14 papers). Binod Kumar Pattanayak is often cited by papers focused on Mobile Ad Hoc Networks (35 papers), Opportunistic and Delay-Tolerant Networks (29 papers) and Vehicular Ad Hoc Networks (VANETs) (14 papers). Binod Kumar Pattanayak collaborates with scholars based in India, Mauritius and Singapore. Binod Kumar Pattanayak's co-authors include Mamata Rath, Bibudhendu Pati, Debabrata Singh, Manoranjan Parhi, Abhilash Pati, Anil Kumar Biswal, Debabrata Samanta, Ming‐Hour Yang, Manas Ranjan Patra and Sambit Kumar Mishra and has published in prestigious journals such as Scientific Reports, IEEE Access and Electronics.

In The Last Decade

Binod Kumar Pattanayak

90 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binod Kumar Pattanayak India 13 331 162 109 90 59 95 646
Debabrata Singh India 10 147 0.4× 74 0.5× 41 0.4× 83 0.9× 42 0.7× 52 375
Ravi Rastogi India 12 325 1.0× 104 0.6× 190 1.7× 119 1.3× 60 1.0× 51 616
Surya Narayan Panda India 17 416 1.3× 137 0.8× 234 2.1× 143 1.6× 67 1.1× 82 874
Emad-ul-Haq Qazi Saudi Arabia 11 244 0.7× 163 1.0× 122 1.1× 256 2.8× 49 0.8× 28 631
Tawfik Al-Hadhrami United Kingdom 16 202 0.6× 235 1.5× 184 1.7× 214 2.4× 128 2.2× 54 837
Ajmeera Kiran India 13 125 0.4× 58 0.4× 84 0.8× 185 2.1× 81 1.4× 111 638
Muhammad Asif Pakistan 14 167 0.5× 95 0.6× 135 1.2× 142 1.6× 183 3.1× 67 680
N. Krishnaraj India 10 148 0.4× 61 0.4× 224 2.1× 75 0.8× 72 1.2× 29 472
Mejdl Safran Saudi Arabia 15 90 0.3× 36 0.2× 112 1.0× 197 2.2× 91 1.5× 92 719

Countries citing papers authored by Binod Kumar Pattanayak

Since Specialization
Citations

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

Fields of papers citing papers by Binod Kumar Pattanayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binod Kumar Pattanayak

This figure shows the co-authorship network connecting the top 25 collaborators of Binod Kumar Pattanayak. A scholar is included among the top collaborators of Binod Kumar Pattanayak 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 Binod Kumar Pattanayak. Binod Kumar Pattanayak 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.
Pattanayak, Binod Kumar, et al.. (2025). Integrating interpolation techniques with deep learning for accurate brain tumor classification. 16. 100124–100124.
2.
Pattanayak, Binod Kumar, et al.. (2024). Alzheimer's Disease Classification using Capsule Network. 644–649. 2 indexed citations
3.
Mohanty, Mihir Narayan, et al.. (2024). Precision medicine in hepatology: harnessing IoT and machine learning for personalized liver disease stage prediction. International Journal of Reconfigurable and Embedded Systems (IJRES). 13(3). 724–724. 3 indexed citations
4.
Pattanayak, Binod Kumar, et al.. (2024). Analyzing Activation Functions With Transfer Learning-Based Layer Customization for Improved Brain Tumor Classification. IEEE Access. 12. 168707–168727. 5 indexed citations
5.
Pattanayak, Binod Kumar, et al.. (2023). A Smart Waste Management System Framework Using IoT and LoRa for Green City Project. International Journal on Recent and Innovation Trends in Computing and Communication. 11(9). 342–357. 3 indexed citations
6.
Parhi, Manoranjan & Binod Kumar Pattanayak. (2023). An effective mechanism for ontology-based cloud service discovery and selection using Aneka cloud application platform. International Journal of Cloud Computing. 12(2/3/4). 261–261. 1 indexed citations
7.
Pattanayak, Binod Kumar, et al.. (2023). Application of IoT Framework for Prediction of Heart Disease using Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication. 11(10s). 168–176. 7 indexed citations
8.
Pati, Abhilash, Manoranjan Parhi, Binod Kumar Pattanayak, & Bibudhendu Pati. (2023). IFCnCov: An IoT‐based smart diagnostic architecture for COVID‐19. Software Practice and Experience. 53(11). 2133–2162. 3 indexed citations
9.
Pati, Abhilash, Manoranjan Parhi, Binod Kumar Pattanayak, et al.. (2023). Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing. Diagnostics. 13(13). 2191–2191. 15 indexed citations
10.
Tripathy, Jogeswar, Rasmita Dash, & Binod Kumar Pattanayak. (2023). Chronic disease diagnosis and classification utilizing an intelligent classifier with WEKA tool. AIP conference proceedings. 2819. 30006–30006. 1 indexed citations
11.
12.
Tripathy, Jogeswar, et al.. (2022). Combination of Reduction Detection Using TOPSIS for Gene Expression Data Analysis. Big Data and Cognitive Computing. 6(1). 24–24. 16 indexed citations
13.
Pati, Abhilash, Manoranjan Parhi, & Binod Kumar Pattanayak. (2022). IABCP: an Integrated Approach for Breast Cancer Prediction. 1–5. 5 indexed citations
14.
Pattanayak, Binod Kumar, Sambit Kumar Mishra, Kshira Sagar Sahoo, et al.. (2022). A Data Aggregation Approach Exploiting Spatial and Temporal Correlation among Sensor Data in Wireless Sensor Networks. Electronics. 11(7). 989–989. 28 indexed citations
15.
Biswal, Anil Kumar, Debabrata Singh, Binod Kumar Pattanayak, et al.. (2021). Adaptive Fault-Tolerant System and Optimal Power Allocation for Smart Vehicles in Smart Cities Using Controller Area Network. Security and Communication Networks. 2021. 1–13. 6 indexed citations
16.
Pattanayak, Binod Kumar, et al.. (2021). An End-to-End AES Based Cryptographic Authentication Mechanism for Communication on Internet of Things (IoT) Using MQTT. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 2361–2373. 1 indexed citations
17.
18.
Jagadev, Alok Kumar, et al.. (2011). EVALUATIN OF QoS PARAMETERS ON TCP/IP IN WIRELESS AD HOC NETWORKS. 3 indexed citations
19.
Mishra, Manoj Kumar, et al.. (2010). Measure of Impact of Node Misbehavior in Ad Hoc Routing: A Comparative Approach. 3 indexed citations
20.
Mohanty, Nihar Nalini, et al.. (1980). Note on varietal reaction of some potato cultivars to common scab disease.. The Indian Journal of Agricultural Sciences. 50(2). 189–190. 1 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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