Sanjeev Thakur

413 total citations
34 papers, 225 citations indexed

About

Sanjeev Thakur is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sanjeev Thakur has authored 34 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Sanjeev Thakur's work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers) and Artificial Intelligence in Healthcare (4 papers). Sanjeev Thakur is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers) and Artificial Intelligence in Healthcare (4 papers). Sanjeev Thakur collaborates with scholars based in India, United Kingdom and United Arab Emirates. Sanjeev Thakur's co-authors include Ashutosh Gupta, Shubhi Gupta, Achyut Shankar, Piyush Kumar, Thompson Stephan, Nishant Kumar Singh, Shweta Yadav, Ajay Rana, Xiaochun Cheng and Alka Chaudhary and has published in prestigious journals such as Multimedia Tools and Applications, Computers & Electrical Engineering and Indian Journal of Science and Technology.

In The Last Decade

Sanjeev Thakur

28 papers receiving 199 citations

Peers

Sanjeev Thakur

CNC

IS

AI

RNMI

CVPR

Mohamed Yaseen Jabarulla South Korea

Giridhar Reddy Bojja United States

Hannan Bin Liaqat Pakistan

Mengying Xu China

Nikhat Parveen India

Lina Li China

K. Meena India

Narayan Vyas India

Rajkumar Rajavel India

Farnaz Farid Australia

Mohamed Yaseen Jabarulla South Korea

Sanjeev Thakur

47 ×0.7

CNC

100 ×2.2

IS

86 ×2.1

AI

93 ×2.3

RNMI

103 ×2.9

CVPR

Citations per year, relative to Sanjeev Thakur Sanjeev Thakur (= 1×) peers Mohamed Yaseen Jabarulla

Countries citing papers authored by Sanjeev Thakur

Since Specialization

Citations

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

Fields of papers citing papers by Sanjeev Thakur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Thakur. A scholar is included among the top collaborators of Sanjeev Thakur 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 Sanjeev Thakur. Sanjeev Thakur 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.

Thakur, Sanjeev, et al.. (2025). INTEGRATING MULTIMODAL TEACHING STRATEGIES INTO STEM EDUCATION: REFLECTIONS FROM PRE-SERVICE AND IN-SERVICE TEACHER WORKSHOP EXPERIENCES. 71–85.

2.

Kiran, M. B., et al.. (2024). Remaining Useful Life Prediction of Ball Bearings Using Deep Learning Techniques. 908–913. 1 indexed citations

3.

Thakur, Sanjeev, et al.. (2023). Literature review of data analytics utilization in Supply Chain Management. 666–670.

4.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2023). Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image. Multimedia Tools and Applications. 83(12). 34291–34322. 12 indexed citations

5.

Thakur, Sanjeev, et al.. (2022). Next Word Prediction Using Deep Learning: A Comparative Study. 653–658. 10 indexed citations

6.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2022). Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection. Multimedia Tools and Applications. 81(10). 14475–14501. 24 indexed citations

7.

Thakur, Sanjeev, et al.. (2022). Review of Brain Tumor MRI Image Segmentation Methods for BraTS Challenge Dataset. 405–410. 4 indexed citations

8.

Thakur, Sanjeev, et al.. (2022). Sentiment Analysis Using Deep Learning: A Comparative Study. 9. 1–6.

9.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2022). Optimized Feature Selection Approach for Smartphone Based Diabetic Retinopathy Detection. 19. 350–355. 11 indexed citations

10.

Dhasarathan, Chandramohan, et al.. (2021). A novel approach for multi-constraints knapsack problem using cluster particle swarm optimization. Computers & Electrical Engineering. 96. 107399–107399. 10 indexed citations

11.

Shankar, Achyut, et al.. (2021). Remodeled chaotic compressive sensing scheme for secure and energy-efficient data forwarding in body-to-body network. Computers & Electrical Engineering. 97. 107633–107633. 7 indexed citations

12.

Kumar, Piyush, et al.. (2021). A Machine Learning Implementation for Mental Health Care. Application: Smart Watch for Depression Detection. 568–574. 25 indexed citations

13.

Sharma, Praveen Kumar, et al.. (2017). “An IOMT based medical-aid-alarm system with online server assistance”. 71. 231–236. 1 indexed citations

14.

Yadav, Shweta & Sanjeev Thakur. (2017). Bank loan analysis using customer usage data: A big data approach using Hadoop. 1–8. 7 indexed citations

15.

Thakur, Sanjeev, et al.. (2017). Comparisons of wavelets and algorithms based on wavelets and comparing the results with JPEG. 3871–3876. 5 indexed citations

16.

Thakur, Sanjeev, et al.. (2016). Towards Green Cloud Computing: Impact of carbon footprint on environment. 209–213. 20 indexed citations

17.

Ramzan, Farha, et al.. (2016). A Systematic Review of Type-2 Diabetes by Hadoop/Map-Reduce. Indian Journal of Science and Technology. 9(32).

18.

Singh, Nishant Kumar, et al.. (2015). Automated provisioning of application in IAAS cloud using Ansible configuration management. 81–85. 17 indexed citations

19.

Sarkar, Bishal Dey, et al.. (2015). 5G - A near Future: Prerequisites. 2. 481–485. 1 indexed citations

20.

Jindal, Tanu, et al.. (2012). Leaching of overloaded and unlined drains through the ground water in Delhi.. 7(2). 215–220. 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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