Ashok Kumar Sahoo

802 total citations
80 papers, 433 citations indexed

About

Ashok Kumar Sahoo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ashok Kumar Sahoo has authored 80 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Ashok Kumar Sahoo's work include Handwritten Text Recognition Techniques (9 papers), Stock Market Forecasting Methods (9 papers) and Vehicle License Plate Recognition (8 papers). Ashok Kumar Sahoo is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Stock Market Forecasting Methods (9 papers) and Vehicle License Plate Recognition (8 papers). Ashok Kumar Sahoo collaborates with scholars based in India, United States and Nepal. Ashok Kumar Sahoo's co-authors include Pradeepta Kumar Sarangi, Parul Goyal, Tarun Kumar Sharma, Pramod Kumar Singh, Pramod K. Singh, Ajay Gairola, N. Murali, Pervez Ahmed, S. C. Sharma and R. Ananthanarayanan and has published in prestigious journals such as Review of Scientific Instruments, Multimedia Tools and Applications and International Journal of Chemical Kinetics.

In The Last Decade

Ashok Kumar Sahoo

66 papers receiving 401 citations

Peers

Ashok Kumar Sahoo

CVPR

CNC

EEE

Jeannette Chin United Kingdom

Md. Mehedi Hasan Bangladesh

M. Iyapparaja India

Thittaporn Ganokratanaa Thailand

K. Vengatesan India

S. Sudha India

Debasrita Chakraborty India

G. Shobha India

Qipeng Chen China

Shashi Bhushan India

Jeannette Chin United Kingdom

Ashok Kumar Sahoo

70 ×0.7

173 ×2.0

CVPR

143 ×2.1

CNC

80 ×1.3

EEE

36 ×0.8

Citations per year, relative to Ashok Kumar Sahoo Ashok Kumar Sahoo (= 1×) peers Jeannette Chin

Countries citing papers authored by Ashok Kumar Sahoo

Since Specialization

Citations

This map shows the geographic impact of Ashok 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 Ashok 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 Ashok Kumar Sahoo more than expected).

Fields of papers citing papers by Ashok Kumar Sahoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Sarangi, Pradeepta Kumar, et al.. (2025). Advancements in Machine Learning and Artificial Intelligence in Polymer Science: A Comprehensive Review. Macromolecular Symposia. 414(1). 6 indexed citations

Sarangi, Pradeepta Kumar, et al.. (2025). Machine Learning in Polymer Science: Emerging Trends and Future Directions. Macromolecular Symposia. 414(1). 2 indexed citations

Sahoo, Ashok Kumar, et al.. (2024). Detection of DDoS Attacks in SDN Using Machine Learning Approaches: A Review. Lecture notes in networks and systems. 295–305.

Gairola, Ajay, et al.. (2024). Multi-feature Fusion Deep Network for Skin Disease Diagnosis. Multimedia Tools and Applications. 84(1). 419–444. 18 indexed citations

Lee, Vivian, et al.. (2024). Assessing the effects of bladder decellularization protocols on extracellular matrix (ECM) structure, mechanics, and biology. Journal of Pediatric Urology. 20(5). 843–850. 3 indexed citations

Sahoo, Ashok Kumar, et al.. (2024). An Enhanced DDoS Attack Detection in Software-Defined-Networks using Ensemble Learning. SN Computer Science. 5(5). 1 indexed citations

Tomar, Sakshi, et al.. (2024). Machine Learning Models and Diabetes Prediction: A Comparative Analysis of Multiple Models Implementations. 274–278.

Sarangi, Pradeepta Kumar, et al.. (2024). Image‐Feature Based Deep Learning Model for Plant Leaf Disease Detection. Macromolecular Symposia. 413(1). 3 indexed citations

Gairola, Ajay, et al.. (2024). MLFF-Net: a multi-model late feature fusion network for skin disease classification. Indonesian Journal of Electrical Engineering and Computer Science. 35(3). 1906–1906. 2 indexed citations

10.

Panda, Amlana, et al.. (2024). Advancements in Tool Wear Monitoring in Turning Operations: Digital Image Processing and AI Techniques. Journal of Physics Conference Series. 2818(1). 12040–12040. 8 indexed citations

11.

Singh, Gurpreet, et al.. (2023). CNN-RNN Based Hybrid Deep Learning Model for Predicting Fluctuations in the Stock Market. 417–422.

12.

Sahoo, Ashok Kumar, et al.. (2023). Improvement in DDoS attack detection in software defined network using ML algorithm. Journal of Discrete Mathematical Sciences and Cryptography. 26(7). 2025–2044. 2 indexed citations

13.

Bhatt, Chandradeep, et al.. (2023). Machine Learning Techniques for Hate Speech Detection on Social Media. 2204. 1–5. 2 indexed citations

14.

Gairola, Ajay, et al.. (2023). Deep Learning based Multiple Skin Disease Classification in Indian Territory. 559–564. 4 indexed citations

15.

Singh, Ram Chandra, et al.. (2019). SIFT based Dorsal Vein Recognition System for Cashless Treatment through Medical Insurance. International Journal of Innovative Technology and Exploring Engineering. 8(10S). 444–451. 8 indexed citations

16.

Sahoo, Ashok Kumar. (2019). Employee Attendance System using Face Recognition Using LBP Method. Türk bilgisayar ve matematik eğitimi dergisi. 10(2). 1036–1042. 1 indexed citations

17.

Sahoo, Ashok Kumar, et al.. (2019). A Combined Approach of Feature Selection and Machine Learning Technique for Handwritten Character Recognition. SSRN Electronic Journal. 5 indexed citations

18.

Goyal, Parul, et al.. (2019). A Roadmap towards Connected Living: 5G Mobile Technology. International Journal of Innovative Technology and Exploring Engineering. 9(1). 1670–1685. 9 indexed citations

19.

Sahoo, Ashok Kumar, et al.. (2014). Handwritten Character Recognition for English and Telugu Scripts Using Multi Layer Perceptions (MLP). International Journal of Scientific Engineering and Technology. 3(6). 730–733.

20.

Mohanty, Sujata, et al.. (2000). Eumycetoma Caused By Pyrenochaeta Romeroi - A Case Report. Indian Journal of Dermatology. 45(2). 76. 2 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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