M. Rudra Kumar

637 total citations
17 papers, 273 citations indexed

About

M. Rudra Kumar is a scholar working on Plant Science, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. Rudra Kumar has authored 17 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in M. Rudra Kumar's work include Smart Agriculture and AI (5 papers), Advanced Database Systems and Queries (2 papers) and AI and HR Technologies (2 papers). M. Rudra Kumar is often cited by papers focused on Smart Agriculture and AI (5 papers), Advanced Database Systems and Queries (2 papers) and AI and HR Technologies (2 papers). M. Rudra Kumar collaborates with scholars based in India, Norway and Taiwan. M. Rudra Kumar's co-authors include Kadiyala Ramana, Thippa Reddy Gadekallu, Vinit Kumar Gunjan, Jerry Chun‐Wei Lin, Mamoun Alazab, Celestine Iwendi, Gautam Srivastava, A. Revathi, Rutvij H. Jhaveri and Surbhi Bhatia and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Frontiers in Oncology and Security and Communication Networks.

In The Last Decade

M. Rudra Kumar

13 papers receiving 244 citations

Peers

Countries citing papers authored by M. Rudra Kumar

Since Specialization

Citations

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

Fields of papers citing papers by M. Rudra Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rudra Kumar

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	AI-SCAN: Advancing plant leaf disease detection with Transcendental Residual Convolutional Swin Transformer with hybrid optimizer 2025 ·CABI Agriculture and Bioscience ·M. Rudra Kumar, (unknown), (unknown), (unknown), (unknown)	0
2	Advancing Paddy Crop Productivity using Deep Learning Ensemble Approach 2024 ·(unknown), M. Rudra Kumar, (unknown), (unknown), (unknown), (unknown)	0
3	A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas 2023 ·IEEE Transactions on Intelligent Transportation Systems ·Kadiyala Ramana, Gautam Srivastava, M. Rudra Kumar, Thippa Reddy Gadekallu, Jerry Chun‐Wei Lin, Mamoun Alazab, Celestine Iwendi	71
4	Machine learning-based-HR appraisal system (ML-APS) 2023 ·International Journal of Applied Management Science ·M. Rudra Kumar, Vinit Kumar Gunjan, Mohd Dilshad Ansari	1
5	IoT-Edge Computing for Efficient and Effective Information Process on Industrial Automation 2023 ·M. Rudra Kumar, (unknown), K. T. Rangaswamy, M. Sangeetha, (unknown)	7
6	SMOTE-TOMEK: A Hybrid Sampling-Based Ensemble Learning Approach for Sepsis Prediction 2023 ·M. Rudra Kumar, (unknown), J. Avanija, K. Reddy Madhavi, (unknown), (unknown)	2
7	Ensemble Learning by High-Dimensional Acoustic Features for Emotion Recognition from Speech Audio Signal 2022 ·Security and Communication Networks ·(unknown), M. Rudra Kumar, Neeraj Sharma, Shitharth Selvarajan	11
8	Early Detection of Cognitive Decline Using Machine Learning Algorithm and Cognitive Ability Test 2022 ·Security and Communication Networks ·A. Revathi, (unknown), Kadiyala Ramana, Rutvij H. Jhaveri, M. Rudra Kumar, (unknown)	44
9	Leaf Disease Classification in Smart Agriculture Using Deep Neural Network Architecture and IoT 2022 ·Journal of Circuits Systems and Computers ·Kadiyala Ramana, (unknown), M. Rudra Kumar, (unknown), (unknown), (unknown)	17
10	Dimensions of Automated ETL Management: A Contemporary Literature Review 2022 ·Gulshan Kumar, M. Rudra Kumar	1
11	Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks 2022 ·Frontiers in Oncology ·Kadiyala Ramana, M. Rudra Kumar, (unknown), Thippa Reddy Gadekallu, Surbhi Bhatia, Parul Agarwal, Sheikh Mohammad Idrees	27
12	Human Resource Management Using Machine Learning-Based Solutions 2022 ·2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) ·M. Rudra Kumar, Avinash Sharma, (unknown), (unknown)	5
13	Pivot Based Seed Germination Assessment (PBSGA) Pattern for Germination Quality Analysis 2022 ·M. Rudra Kumar, Avinash Sharma, (unknown), G. Ramesh	0
14	Crop Yield Prediction using Machine Learning Algorithm 2021 ·(unknown), M. Rudra Kumar	66
15	Predictive Analytics for OSA Detection Using Non-Conventional Metrics 2020 ·RePEc: Research Papers in Economics ·Vinit Kumar Gunjan, M. Rudra Kumar	3
16	Review of Machine Learning models for Credit Scoring Analysis 2020 ·M. Rudra Kumar, Vinit Kumar Gunjan	18
17	Parallel Mining of Frequent Item Sets using Data Partitioning and Map Reduce 2017 ·International Journal of Scientific Research in Computer Science Engineering and Information Technology ·(unknown), (unknown), M. Rudra Kumar	0

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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