Kranti Kumar

1.2k total citations · 1 hit paper
54 papers, 768 citations indexed

About

Kranti Kumar is a scholar working on Control and Systems Engineering, Building and Construction and Condensed Matter Physics. According to data from OpenAlex, Kranti Kumar has authored 54 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Building and Construction and 14 papers in Condensed Matter Physics. Recurrent topics in Kranti Kumar's work include Traffic control and management (15 papers), Traffic Prediction and Management Techniques (14 papers) and Transportation Planning and Optimization (12 papers). Kranti Kumar is often cited by papers focused on Traffic control and management (15 papers), Traffic Prediction and Management Techniques (14 papers) and Transportation Planning and Optimization (12 papers). Kranti Kumar collaborates with scholars based in India, Saudi Arabia and Norway. Kranti Kumar's co-authors include Manoranjan Parida, V. K. Katiyar, Poonam Redhu, A. K. Pramanik, A. Banerjee, Pritikana Das, Pranay Goswami, Asokan Kandasami, Hossein Jafari and Ashok Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Kranti Kumar

47 papers receiving 742 citations

Hit Papers

Short-term traffic flow prediction based on optimized dee... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
    2023 96 citations Poonam Redhu, Kranti Kumar et al. Physica A Statistical Mechanics and its Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kranti Kumar India 15 420 305 293 76 70 54 768
Hongsuk Yi South Korea 12 209 0.5× 92 0.3× 135 0.5× 116 1.5× 47 0.7× 25 603
Yu Yang China 14 149 0.4× 26 0.1× 191 0.7× 132 1.7× 104 1.5× 82 677
Dirck Van Vliet United Kingdom 11 132 0.3× 204 0.7× 322 1.1× 37 0.5× 127 1.8× 17 515
Aurora Gil-de-Castro Spain 18 105 0.3× 284 0.9× 12 0.0× 767 10.1× 108 1.5× 82 935
Yuqing Wang China 16 70 0.2× 173 0.6× 121 0.4× 83 1.1× 44 0.6× 57 595
Weimin Peng China 9 57 0.1× 30 0.1× 19 0.1× 56 0.7× 27 0.4× 33 420
Ting Lei China 12 97 0.2× 214 0.7× 84 0.3× 212 2.8× 45 0.6× 43 496
Geng Xu China 9 566 1.3× 139 0.5× 492 1.7× 49 0.6× 85 1.2× 17 859

Countries citing papers authored by Kranti Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kranti Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kranti Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Kranti Kumar. A scholar is included among the top collaborators of Kranti Kumar 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 Kranti Kumar. Kranti Kumar 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.
Kumar, Anil, et al.. (2025). A comprehensive review of machine learning applications for internet of nano things: challenges and future directions. Artificial Intelligence Review. 58(7). 1 indexed citations
2.
Thakur, Shweta, et al.. (2025). Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 15(3).
3.
Kumar, Kranti, et al.. (2024). Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression. International Journal of Information Technology. 17(9). 5661–5671. 3 indexed citations
4.
Kumar, Kranti, et al.. (2024). A deep extreme learning machine approach optimized by sparrow search algorithm for forecasting of traffic flow. Physica Scripta. 99(12). 125288–125288. 4 indexed citations
5.
6.
Kumar, Kranti, et al.. (2024). Performance Prediction of Eco-Friendly Concrete with Artificial Neural Networks (ANNs). SHILAP Revista de lepidopterología. 596. 1021–1021.
7.
Prajapat, Sunil, et al.. (2024). Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions. Mathematics. 12(21). 3318–3318. 17 indexed citations
8.
Redhu, Poonam, et al.. (2024). Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm. International Journal of Intelligent Transportation Systems Research. 22(2). 316–327. 12 indexed citations
9.
Redhu, Poonam, et al.. (2023). MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction. Physica A Statistical Mechanics and its Applications. 634. 129448–129448. 40 indexed citations
10.
Kumar, Kranti, et al.. (2023). Room temperature giant magnetocaloric effect in Pd doped FeRh and the effect of martensitic transition. Journal of Applied Physics. 133(17). 5 indexed citations
11.
12.
Goswami, Pranay, et al.. (2023). Analytical solution of local fractal continuum traffic flow model. Physica Scripta. 98(12). 125212–125212. 2 indexed citations
13.
Kumar, Kranti, et al.. (2023). Coexistence of spin liquid state and magnetic correlations in 3d-5d based triangular-lattice antiferromagnet Sr3CuIr2O9. Journal of Physics Condensed Matter. 35(48). 48LT01–48LT01. 2 indexed citations
14.
Redhu, Poonam, et al.. (2023). Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM. Physica A Statistical Mechanics and its Applications. 625. 129001–129001. 96 indexed citations breakdown →
15.
Kumar, Jitendra, et al.. (2022). Relativistic compact stars via a new class of analytical solution for charged isotropic stellar system in general relativity. Indian Journal of Physics. 97(4). 1295–1316. 3 indexed citations
16.
Sarkar, Sumit, Kranti Kumar, Rajamani Raghunathan, et al.. (2022). Role of electronic excitation on the anomalous magnetism of elemental copper. Physical review. B.. 105(6). 3 indexed citations
17.
Kumar, Kranti, et al.. (2021). Memorylike response of the magnetic glass. Physical review. B.. 103(14). 5 indexed citations
18.
Kandasami, Asokan, et al.. (2021). Low-temperature ferromagnetism in perovskiteSrIrO3films. Physical review. B.. 103(6). 13 indexed citations
19.
Kumar, Kranti, et al.. (2020). Universal scaling of charge-order melting in the magnetic field–pressure–temperature landscape. Physical review. B.. 102(20). 2 indexed citations
20.
Kumar, Kranti, et al.. (2020). An automated setup to measure the linear and nonlinear magnetic ac-susceptibility down to 4 K with higher accuracy. Review of Scientific Instruments. 91(12). 123905–123905. 3 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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