Praveen Kumar Tripathi

752 total citations · 1 hit paper
27 papers, 582 citations indexed

About

Praveen Kumar Tripathi is a scholar working on Signal Processing, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Praveen Kumar Tripathi has authored 27 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Management Science and Operations Research and 6 papers in Economics and Econometrics. Recurrent topics in Praveen Kumar Tripathi's work include Data Management and Algorithms (5 papers), Time Series Analysis and Forecasting (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Praveen Kumar Tripathi is often cited by papers focused on Data Management and Algorithms (5 papers), Time Series Analysis and Forecasting (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Praveen Kumar Tripathi collaborates with scholars based in India and United States. Praveen Kumar Tripathi's co-authors include Sanghamitra Bandyopadhyay, Sankar K. Pal, Ramez Elmasri, Surjya K. Pal, Sanghamitra Bandyopadhyay, S.K. Upadhyay, Ashis Kumer Biswas, Rahul Mishra, Ashutosh Kumar Bhatt and Rakesh Ranjan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and American Journal of Mathematical and Management Sciences.

In The Last Decade

Praveen Kumar Tripathi

23 papers receiving 549 citations

Hit Papers

Multi-Objective Particle Swarm Optimization with time var... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praveen Kumar Tripathi India 7 258 176 114 99 56 27 582
Jiao-Hong Yi China 9 328 1.3× 222 1.3× 89 0.8× 67 0.7× 84 1.5× 10 639
Thomas Bousonville Germany 4 207 0.8× 117 0.7× 70 0.6× 99 1.0× 93 1.7× 9 612
Christian von Lücken Paraguay 7 252 1.0× 296 1.7× 139 1.2× 80 0.8× 67 1.2× 18 698
Diana Manjarrés Spain 12 229 0.9× 120 0.7× 142 1.2× 93 0.9× 66 1.2× 26 644
Kedar Nath Das India 18 490 1.9× 314 1.8× 186 1.6× 127 1.3× 67 1.2× 54 872
Jeffery D. Weir United States 13 244 0.9× 144 0.8× 182 1.6× 109 1.1× 84 1.5× 40 735
Weian Guo China 14 309 1.2× 213 1.2× 216 1.9× 148 1.5× 55 1.0× 50 724
Mario Andrés Muñoz Australia 15 477 1.8× 265 1.5× 54 0.5× 87 0.9× 91 1.6× 55 857

Countries citing papers authored by Praveen Kumar Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Kumar Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveen Kumar Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Kumar Tripathi. A scholar is included among the top collaborators of Praveen Kumar 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 Praveen Kumar Tripathi. Praveen Kumar 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.
Tripathi, Praveen Kumar, et al.. (2025). Data Reconciliation (Recon) Transformation Strategies for Finance Compliance Reports. International Journal of Innovative Research in Science Engineering and Technology. 14(3).
2.
Tripathi, Praveen Kumar. (2024). AI and Cybersecurity in 2024: Navigating New Threats and Unseen Opportunities. International Journal of Computer Trends and Technology. 72(8). 26–32.
3.
Tripathi, Praveen Kumar, et al.. (2024). Classical and Bayes Analyses of Autoregressive Model with Heavy-Tailed Error. American Journal of Mathematical and Management Sciences. 43(1). 40–60. 2 indexed citations
4.
Tripathi, Praveen Kumar, et al.. (2023). Cartel leniency programme in India—why no race here?. Journal of Antitrust Enforcement. 12(3). 479–510.
5.
Tripathi, Praveen Kumar, et al.. (2022). Statistical insights on the health of Indian economy: a multivariate analysis. 4(3-4). 305–327. 1 indexed citations
6.
Tripathi, Praveen Kumar, et al.. (2021). Bayesian Prediction of Monthly Gold Prices Using an EARSV Model and Its Competitive Component Models. 22(3). 1–17. 1 indexed citations
7.
Tripathi, Praveen Kumar, et al.. (2021). Improving Profitability Using Predictive Analytics. Indian Journal of Marketing. 51(8). 8–8. 1 indexed citations
8.
Tripathi, Praveen Kumar, et al.. (2021). A Bayes algorithm for model compatibility and comparison of ARMA(p,q) models. SHILAP Revista de lepidopterología. 22(2). 95–123. 2 indexed citations
9.
Tripathi, Praveen Kumar, Rahul Mishra, & S.K. Upadhyay. (2018). Bayes and Classical Prediction of Total Fertility Rate of India Using Autoregressive Integrated Moving Average Model. Journal of Statistics Applications & Probability. 7(2). 233–244. 5 indexed citations
10.
Tripathi, Praveen Kumar, et al.. (2017). An approximate Bayes analysis of ARMA model for Indian GDP growth rate data. Journal of Statistics and Management Systems. 20(3). 399–419. 3 indexed citations
11.
Tripathi, Praveen Kumar, et al.. (2016). Preference-Aware POI Recommendation with Temporal and Spatial Influence. The Florida AI Research Society. 548–553. 3 indexed citations
12.
Tripathi, Praveen Kumar, et al.. (2016). A Comparative Performance Analysis of Feature Extraction Techniques for Hyperspectral Image Classification. International Journal of Software Engineering and Its Applications. 10(12). 179–188. 3 indexed citations
13.
Tripathi, Praveen Kumar, et al.. (2016). A Direction Based Framework for Trajectory Data Analysis. 1–8. 7 indexed citations
14.
Bhatt, Ashutosh Kumar, et al.. (2016). HSTL IO Standards Based Processor Specific Green Counter Design on 90nm FPGAAbhay Saxena. International Journal of Control and Automation. 9(7). 331–342. 3 indexed citations
15.
Tripathi, Praveen Kumar, et al.. (2015). K-DBSCAN: Identifying Spatial Clusters with Differing Density Levels. 51–60. 16 indexed citations
16.
Tripathi, Praveen Kumar, et al.. (2014). Extracting Dense Regions From Hurricane Trajectory Data. 1–6. 2 indexed citations
17.
Tripathi, Praveen Kumar, et al.. (2013). A Novel Approach to Trajectory Analysis Using String Matching and Clustering. 986–993. 7 indexed citations
18.
Tripathi, Praveen Kumar, et al.. (2008). Identifying stock similarity based on multi-event episodes. 153–162. 2 indexed citations
19.
Tripathi, Praveen Kumar, Sanghamitra Bandyopadhyay, & Sankar K. Pal. (2007). Adaptive mufti-objective particle swarm optimization algorithm. 2281–2288. 28 indexed citations
20.
Tripathi, Praveen Kumar, Sanghamitra Bandyopadhyay, & Sankar K. Pal. (2007). Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. Information Sciences. 177(22). 5033–5049. 433 indexed citations breakdown →

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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