Sudhakar Tripathi

599 total citations
34 papers, 345 citations indexed

About

Sudhakar Tripathi is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Sudhakar Tripathi has authored 34 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Health Information Management. Recurrent topics in Sudhakar Tripathi's work include Machine Learning in Bioinformatics (9 papers), Artificial Intelligence in Healthcare (6 papers) and scientometrics and bibliometrics research (5 papers). Sudhakar Tripathi is often cited by papers focused on Machine Learning in Bioinformatics (9 papers), Artificial Intelligence in Healthcare (6 papers) and scientometrics and bibliometrics research (5 papers). Sudhakar Tripathi collaborates with scholars based in India, United States and South Korea. Sudhakar Tripathi's co-authors include Akshay Deepak, Dilip Kumar Choubey, Vaibhav Shukla, Vinay Kumar Dhandhania, Manish Kumar, David Fernández‐Baca, Jyoti Prakash Singh, Ashish Ranjan, Abhinav Kumar and Ditipriya Sinha and has published in prestigious journals such as European Journal of Neuroscience, Applied Soft Computing and Applied Sciences.

In The Last Decade

Sudhakar Tripathi

30 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sudhakar Tripathi India 10 102 71 50 48 46 34 345
Travis R. Goodwin United States 12 281 2.8× 40 0.6× 159 3.2× 14 0.3× 32 0.7× 42 428
Mengyue Liu China 7 140 1.4× 19 0.3× 46 0.9× 6 0.1× 66 1.4× 25 264
Titin Siswantining Indonesia 9 123 1.2× 39 0.5× 92 1.8× 5 0.1× 74 1.6× 76 394
Miroslav Marinov Bulgaria 6 201 2.0× 198 2.8× 72 1.4× 3 0.1× 81 1.8× 19 487
Ján Paralič Slovakia 10 199 2.0× 55 0.8× 14 0.3× 12 0.3× 81 1.8× 69 395
M. Mostafizur Rahman United Kingdom 5 185 1.8× 69 1.0× 20 0.4× 5 0.1× 27 0.6× 5 318
Nguyễn Hoàng Phương Vietnam 6 138 1.4× 36 0.5× 21 0.4× 3 0.1× 29 0.6× 29 272
Vladik Kreinovich United States 6 100 1.0× 29 0.4× 17 0.3× 8 0.2× 32 0.7× 24 271
Huirui Han China 6 114 1.1× 33 0.5× 25 0.5× 3 0.1× 56 1.2× 16 268
Rudolf Seising Germany 9 143 1.4× 30 0.4× 15 0.3× 5 0.1× 17 0.4× 70 309

Countries citing papers authored by Sudhakar Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Sudhakar Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhakar Tripathi

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

All Works

20 of 20 papers shown
1.
Semwal, Vijay Bhaskar, et al.. (2024). Improving Human Activity Recognition in Smart Healthcare with Ensemble Deep Learning. IETE Journal of Research. 71(3). 894–908. 2 indexed citations
2.
Kumar, Abhinav, et al.. (2024). A hybrid convolutional neural network for sarcasm detection from multilingual social media posts. Multimedia Tools and Applications. 84(16). 15867–15895. 1 indexed citations
3.
Deepak, Akshay, et al.. (2024). An ensemble approach to detect depression from social media platform: E-CLS. Multimedia Tools and Applications. 83(28). 71001–71033. 4 indexed citations
4.
Tripathi, Sudhakar, et al.. (2023). A computational model of current control mechanism for long‐term potentiation (LTP) in human episodic memory based on gene–gene interaction. European Journal of Neuroscience. 58(6). 3569–3590. 1 indexed citations
5.
Ranjan, Ashish, et al.. (2022). MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1188–1199. 5 indexed citations
6.
Tripathi, Sudhakar, et al.. (2021). Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars. Scientometrics. 126(7). 5551–5568. 2 indexed citations
7.
Tripathi, Sudhakar, et al.. (2021). A review on h-index and its alternative indices. Journal of Information Science. 49(3). 624–665. 57 indexed citations
8.
Tripathi, Sudhakar, Vivek Tiwari, Dharmendra Singh Rajput, et al.. (2020). A Novel Grid and Place Neuron’s Computational Modeling to Learn Spatial Semantics of an Environment. Applied Sciences. 10(15). 5147–5147. 12 indexed citations
9.
Choubey, Dilip Kumar, Manish Kumar, Vaibhav Shukla, Sudhakar Tripathi, & Vinay Kumar Dhandhania. (2020). Comparative Analysis of Classification Methods with PCA and LDA for Diabetes. Current Diabetes Reviews. 16(8). 833–850. 48 indexed citations
10.
Tripathi, Sudhakar, et al.. (2019). Rat Protein’s Enzyme Class Classification Using Machine Learning. International Journal of Engineering and Advanced Technology. 8(6). 655–663. 1 indexed citations
11.
Tripathi, Sudhakar, et al.. (2019). Human Protein Sequence Classification using Machine Learning and Statistical Classification Techniques. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 3591–3599. 1 indexed citations
12.
Tiwari, Arvind Kumar, et al.. (2019). Function Prediction of Human Proteins Using Machine Learning Algorithms. SSRN Electronic Journal. 1 indexed citations
13.
Sinha, Ditipriya, Rina Kumari, & Sudhakar Tripathi. (2019). Semisupervised Classification Based Clustering Approach in WSN for Forest Fire Detection. Wireless Personal Communications. 109(4). 2561–2605. 23 indexed citations
14.
Choubey, Dilip Kumar, et al.. (2019). Performance evaluation of classification methods with PCA and PSO for diabetes. Network Modeling Analysis in Health Informatics and Bioinformatics. 9(1). 54 indexed citations
15.
Tripathi, Sudhakar, et al.. (2019). Automated Traffic Management using Image Processing. SSRN Electronic Journal. 1 indexed citations
16.
Tripathi, Sudhakar, et al.. (2018). h-index and its alternative: A Review. arXiv (Cornell University). 1 indexed citations
17.
Tiwari, Shailendra, Sudhakar Tripathi, & K. V. Arya. (2016). Score level fusion of Iris and Fingerprint using wavelet features. 456–461. 2 indexed citations
18.
Tripathi, Sudhakar, et al.. (2016). A comparative analysis of enzyme classification approaches using hybrid feature selection technique. 10. 1–5. 1 indexed citations
19.
Tripathi, Sudhakar, et al.. (2014). A Computational Model Of Episodic Memory Encoding In Dentate Gyrus Hippocampus Sub Region As Pattern Separator Using ART Neural Network. International Journal of Engineering Research and Applications. 4(1). 451–460. 2 indexed citations
20.
Tripathi, Sudhakar, et al.. (2010). Importance of Management Information System in Electronic-Information Era. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 1(2). 107–114.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Travis R. Goodwin Breakdown of academic impact, for papers by Mengyue Liu Breakdown of academic impact, for papers by Titin Siswantining Breakdown of academic impact, for papers by Miroslav Marinov Breakdown of academic impact, for papers by Ján Paralič Breakdown of academic impact, for papers by M. Mostafizur Rahman Breakdown of academic impact, for papers by Nguyễn Hoàng Phương Breakdown of academic impact, for papers by Vladik Kreinovich Breakdown of academic impact, for papers by Huirui Han Breakdown of academic impact, for papers by Rudolf Seising
Rankless by CCL
2026