Praveen Kumar Tripathi

752 citations
27 papers · 582 indexed · 1 hit paper · h-index 7
Topics
Data Management and Algorithms (5 papers)Time Series Analysis and Forecasting (4 papers)Human Mobility and Location-Based Analysis (4 papers)
Partner nations
IndiaUnited States

In The Last Decade

Praveen Kumar Tripathi

23 papers receiving 549 citations

Hit Papers

Multi-Objective Particle Swarm Optimization with time var...20072026201320192007100200300400

Peers

Praveen Kumar Tripathi
Comparison fields: 5 of 82
  • Artificial Intelligence 258
  • Computational Theory and Mathematics 176
  • Electrical and Electronic Engineering 114
  • Control and Systems Engineering 99
  • Industrial and Manufacturing Engineering 56
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Diana Manjarrés Spain
Thomas Bousonville Germany
Jeffery D. Weir United States
Weian Guo China
Tayfun Küçükyılmaz Türkiye
Kedar Nath Das India
Eduardo G. Carrano Brazil
Danial Yazdani China
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 1
6
Bayesian Prediction of Monthly Gold Prices Using an EARSV Model and Its Competitive Component Models
1
7 1
8 2
9 1
10 1
11 12
12 5
13 3
14
Preference-Aware POI Recommendation with Temporal and Spatial Influence
3
15 3
16 7
17 16
18 2
19
Identifying stock similarity based on multi-event episodes
2
20 3

About Praveen Kumar Tripathi

Praveen Kumar Tripathi is a scholar working on Signal Processing, Transportation and Management Science and Operations Research, having authored 27 papers that have together received 582 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Time Series Analysis and Forecasting (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (176 citations), Artificial Intelligence (258 citations) and Industrial and Manufacturing Engineering (56 citations). Praveen Kumar Tripathi has collaborated with scholars based in India and United States. Frequent co-authors include Sanghamitra Bandyopadhyay, Sankar K. Pal, Ramez Elmasri, Surjya K. Pal, Sanghamitra Bandyopadhyay, S.K. Upadhyay, Ashis Kumer Biswas, Ashutosh Kumar Bhatt, Rahul Mishra and Bishwajeet Pandey. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and American Journal of Mathematical and Management Sciences.

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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