Rajneesh Kumar

1.7k total citations · 1 hit paper
103 papers, 897 citations indexed

About

Rajneesh Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Rajneesh Kumar has authored 103 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 34 papers in Artificial Intelligence and 28 papers in Information Systems. Recurrent topics in Rajneesh Kumar's work include Artificial Intelligence in Healthcare (19 papers), Mobile Ad Hoc Networks (14 papers) and IoT and Edge/Fog Computing (13 papers). Rajneesh Kumar is often cited by papers focused on Artificial Intelligence in Healthcare (19 papers), Mobile Ad Hoc Networks (14 papers) and IoT and Edge/Fog Computing (13 papers). Rajneesh Kumar collaborates with scholars based in India, United States and Jordan. Rajneesh Kumar's co-authors include Anurag Jain, Pooja Rani, Nada Ahmed, Manpreet Singh, Rohit Lamba, Anish Kumar, Ravi Kumar Sachdeva, Sanjeev Rana, Nityananda Sarma and P. K. Litoria and has published in prestigious journals such as SHILAP Revista de lepidopterología, Archives of Computational Methods in Engineering and Arabian Journal for Science and Engineering.

In The Last Decade

Rajneesh Kumar

82 papers receiving 811 citations

Hit Papers

align trajectories

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.

A decision support system for heart disease prediction based upon machine learning

2021 199 citations Pooja Rani, Rajneesh Kumar et al. profile →

Peers

Rajneesh Kumar

CNC

AI

HIM

IS

EEE

Khaled Mohamad Almustafa Saudi Arabia

Gokulnath Chandra Babu India

Amit Kishor India

Majed Aborokbah Saudi Arabia

Nizar Alsharif Saudi Arabia

N. Jaisankar India

Walaa N. Ismail Saudi Arabia

Yongjian Liao China

Ahmed Alahmadi Saudi Arabia

C. Narmatha Saudi Arabia

Khaled Mohamad Almustafa Saudi Arabia

Rajneesh Kumar

184 ×0.5

CNC

198 ×0.7

AI

134 ×0.6

HIM

77 ×0.5

IS

92 ×0.6

EEE

Citations per year, relative to Rajneesh Kumar Rajneesh Kumar (= 1×) peers Khaled Mohamad Almustafa

Countries citing papers authored by Rajneesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Rajneesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajneesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajneesh Kumar. A scholar is included among the top collaborators of Rajneesh 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 Rajneesh Kumar. Rajneesh 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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20 of 20 papers shown

1.

Dhiman, Heena & Rajneesh Kumar. (2025). An Internet of Things-enabled smart glove for brain stroke rehabilitation. 1. 100001–100001.

2.

Kumar, Rajneesh, et al.. (2024). A Hybrid Feature Extraction-Based Prediction System (HFEPS) for Early Diagnosis of Chronic Kidney Disease. 1–6.

3.

Kumar, Rajneesh, et al.. (2024). An Efficient Deep Learning Model for Detection of Rice Leaf Diseases using Paddy Doctor Dataset. 1–7.

4.

Kumar, Rajneesh, et al.. (2023). An integrated system for breast cancer diagnosis using convolution neural network and attention mechanism. Journal of Autonomous Intelligence. 7(2). 2 indexed citations

5.

Kumar, Rajneesh, et al.. (2023). An adaptive framework for predicting breast cancer at an early stage. Measurement Sensors. 30. 100901–100901. 3 indexed citations

6.

Rani, Pooja, Rajneesh Kumar, Anurag Jain, et al.. (2023). PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 6 indexed citations

7.

Kumar, Rajneesh, et al.. (2023). An Efficient Breast Cancer Disease Prediction Method using Deep Learning. 1094–1097. 1 indexed citations

8.

Kumar, Rajneesh, et al.. (2023). An Efficient Methodology for Brain Stroke Prediction Using Missing Value Imputation Methods. 28. 449–454.

9.

Rani, Pooja, Rajneesh Kumar, & Anurag Jain. (2022). A Hybrid Approach for Feature Selection Based on Correlation Feature Selection and Genetic Algorithm. International Journal of Software Innovation. 10(1). 1–17. 12 indexed citations

10.

Rani, Pooja, Rajneesh Kumar, & Anurag Jain. (2022). A Hybrid System for Heart Disease Diagnosis Based on HPCBE Method. International Journal of Software Innovation. 10(1). 1–14. 5 indexed citations

11.

Kumar, Rajneesh, et al.. (2022). Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning. Measurement Sensors. 24. 100560–100560. 33 indexed citations

12.

Kumar, Rajneesh, et al.. (2022). A QoS-Enabled Load Balancing Approach for Cloud Computing Environment Join Minimum Loaded Queue (JMLQ). International Journal of Grid and High Performance Computing. 14(1). 1–19. 1 indexed citations

13.

Kumar, Rajneesh, et al.. (2022). XSS: Cross-site Scripting Attack Detection by Machine Learning Classifiers. 1535–1539. 2 indexed citations

14.

Kumar, Anish, et al.. (2021). Investigation of crack density, white layer thickness, and material characterization of biocompatible material commercially pure titanium (grade-2) through a wire electric discharge machining process using a response surface methodology. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 235(6). 2073–2097. 7 indexed citations

15.

Rani, Pooja, et al.. (2021). A Hybrid Approach for Feature Selection Based on Genetic Algorithm and Recursive Feature Elimination. International Journal of Information System Modeling and Design. 12(2). 17–38. 25 indexed citations

16.

Rani, Pooja, Rajneesh Kumar, & Anurag Jain. (2021). HIOC: a hybrid imputation method to predict missing values in medical datasets. International Journal of Intelligent Computing and Cybernetics. 14(4). 598–616. 15 indexed citations

17.

Kumar, Anish, Renu Sharma, & Rajneesh Kumar. (2021). Multi-objective optimization and Surface Morphology of M-42 AISI Steel Using Normal and Cryo-treated Brass Wire in Wire Cut EDM. Arabian Journal for Science and Engineering. 46(3). 2721–2748. 2 indexed citations

18.

Kumar, Rajneesh, et al.. (2020). A Proficient Approach for Load Balancing in Cloud Computing-Join Minimum Loaded Queue. International Journal of Information System Modeling and Design. 11(1). 12–36. 2 indexed citations

19.

Jain, Anurag & Rajneesh Kumar. (2017). Scalable Load Balancing Approach for Cloud Environment. Open Journal Systems (Taiwan Association of Engineering and Technology Innovation). 7(4). 292–307. 1 indexed citations

20.

Kumar, Rajneesh. (2017). Artificial Intelligence : A Path to Innovation. International Journal of Scientific Research in Science and Technology. 3(1). 700–705. 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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