Tarun Kumar Vashishth

588 total citations
15 papers, 13 citations indexed

About

Tarun Kumar Vashishth is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tarun Kumar Vashishth has authored 15 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tarun Kumar Vashishth's work include EEG and Brain-Computer Interfaces (3 papers), Emotion and Mood Recognition (2 papers) and Mobile Ad Hoc Networks (2 papers). Tarun Kumar Vashishth is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Emotion and Mood Recognition (2 papers) and Mobile Ad Hoc Networks (2 papers). Tarun Kumar Vashishth collaborates with scholars based in India, Saudi Arabia and United States. Tarun Kumar Vashishth's co-authors include Vikas Sharma, Rajneesh Panwar, Bhupendra Kumar, Neha Neha, Shahanawaj Ahamad, Sachin Chaudhary, Manoj Gupta, Asheesh Pandey, Kewal Krishan Sharma and Ashendra Kumar Saxena and has published in prestigious journals such as Elsevier eBooks, AIP conference proceedings and Multidisciplinary Science Journal.

In The Last Decade

Tarun Kumar Vashishth

5 papers receiving 13 citations

Peers

Tarun Kumar Vashishth

CNC

AI

BE

SPS

IS

Sachin Chaudhary India

Siva Raja Sindiramutty Malaysia

T. Sakuma United States

Nicole Nichols United States

D. A. Millar United Kingdom

Kenneth Sandlin

R. Amin Iraq

A. Chitan Switzerland

Jan Tomsa Russia

T. A. Beermann Germany

Sachin Chaudhary India

Tarun Kumar Vashishth

5 ×1.3

CNC

2 ×0.7

AI

2 ×0.7

BE

2 ×1.0

SPS

3 ×1.5

IS

Citations per year, relative to Tarun Kumar Vashishth Tarun Kumar Vashishth (= 1×) peers Sachin Chaudhary

Countries citing papers authored by Tarun Kumar Vashishth

Since Specialization

Citations

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

Fields of papers citing papers by Tarun Kumar Vashishth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Kumar Vashishth

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

All Works

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15 of 15 papers shown

1.

Sharma, Vikas, et al.. (2025). Next-Gen Child Search: Advanced Predictions with Facial Features and Skin Color. 551–556.

2.

Sharma, Vikas, et al.. (2025). Revealing the Reliability of Amazon Products via Innovative Fake Review Detection using Machine Learning. 217–221. 1 indexed citations

3.

Vashishth, Tarun Kumar, et al.. (2025). Securing Routing in MANETs: A Comprehensive Review of Enhanced Optimized Link State Routing (EOLSR). 1–6.

4.

Sharma, Vikas, et al.. (2025). Enhancing Cloud Computing Performance: A Novel Approach for Optimizing Energy Efficiency through AI- Based Load Balancing Algorithm. 1–6.

5.

Gupta, Manoj, et al.. (2024). Machine learning and deep learning based intrusion detection for blackhole attacks in mobile ad-hoc networks. Multidisciplinary Science Journal. 6(11). 2024209–2024209. 4 indexed citations

6.

Vashishth, Tarun Kumar, et al.. (2024). Unlocking the Potential of IoT Technologies in the Era of Industry 4.0 Digital Economy: An Exploration of the Transformative Impact. 120–126.

7.

Vashishth, Tarun Kumar, Vikas Sharma, Neha Neha, & Shahanawaj Ahamad. (2024). Exploring machine learning models for biomedical signal processing: a comprehensive review. Elsevier eBooks. 69–96. 2 indexed citations

8.

Vashishth, Tarun Kumar, Vikas Sharma, Kewal Krishan Sharma, et al.. (2024). Artificial neural networks & discrete Wavelet transform enabled healthcare model for stress and emotion assessment using speech signal recognition. AIP conference proceedings. 3072. 20012–20012.

9.

Vashishth, Tarun Kumar, Vikas Sharma, Kewal Krishan Sharma, et al.. (2024). Unraveling the Frontiers and Obstacles of Cluster Computing: A Thorough Review. 1–5.

10.

Vashishth, Tarun Kumar, Vikas Sharma, Bhupendra Kumar, et al.. (2024). Guarding Finances: The Role of Image Processing in Unmasking Counterfeit Currency. 668–671.

11.

Sharma, Vikas, et al.. (2024). Fusing Depths: Investigating the Synergy of Convolutional Neural Networks and Long Short-Term Memory Networks for Enhanced Image Caption Generation. 103–107.

12.

Saxena, Ashendra Kumar, et al.. (2023). Leveraging a novel machine learning approach to forecast income and immigration dynamics. Multidisciplinary Science Journal. 5. 2023ss0202–2023ss0202.

13.

Vashishth, Tarun Kumar, et al.. (2023). Exploring the Role of Computer Vision in Human Emotion Recognition: A Systematic Review and Meta-Analysis. 1071–1077. 4 indexed citations

14.

Sharma, Vikas, Kewal Krishan Sharma, Tarun Kumar Vashishth, et al.. (2023). Brain-Computer Interface: Bridging the Gap Between Human Brain and Computing Systems. 1–5. 2 indexed citations

15.

Sharma, Vikas, et al.. (2023). Health Interpretation of Covid-19 Patients using Artificial Intelligence. 1–5.

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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