Kranti Kumar

57 papers receiving 877 citations

Kranti Kumar's Hit Papers

Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM 2023 · 107 citations
1070+1+2Years since publication255075100

Peers

Kranti Kumar
Comparison fields: 5 of 103
  • Transportation 333
  • Building and Construction 501
  • Control and Systems Engineering 343
  • Speech and Hearing 62
  • Automotive Engineering 86
Replace Hongsuk Yi with:
Hongsuk Yi South Korea
Yu Yang China
Reinhart Kühne Germany
Dirck Van Vliet United Kingdom
Aurora Gil-de-Castro Spain
Geng Xu China
Wei Shen China
J.F.G. Cobben Netherlands
Nicolas Durand France
Kranti Kumar relative to Hongsuk Yi South Korea Hongsuk Yi's profile →
Citations per field
00.5×10×20×31×
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Citations per year

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-authors

The 25 scholars most cited alongside Kranti Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kranti Kumar Line = papers co-authored together Kranti Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013232
2
Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Hit paper breakdown →
2023107
3 201388
4 202344
5 201637
6 202028
7 202427
8 202221
9 201320
10 202120
11 202119
12 202319
13 202018
14 201117
15 202317
16 202116
17 202115
18 202113
19 202412
20 20129

About Kranti Kumar

Kranti Kumar is a scholar working on Control and Systems Engineering, Building and Construction, Transportation, Condensed Matter Physics and Automotive Engineering, having authored 64 papers that have together received 910 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (19 papers), Traffic control and management (19 papers), Transportation Planning and Optimization (15 papers), Advanced Condensed Matter Physics (8 papers), Noise Effects and Management (8 papers), Vehicle Noise and Vibration Control (8 papers), Acoustic Wave Phenomena Research (7 papers) and Magnetic and transport properties of perovskites and related materials (7 papers). The work is most often cited by research in Transportation (333 citations), Building and Construction (501 citations), Control and Systems Engineering (343 citations), Speech and Hearing (62 citations) and Automotive Engineering (86 citations). Kranti Kumar has collaborated with scholars based in India, Saudi Arabia and Norway. Frequent co-authors include V. K. Katiyar, Manoranjan Parida, Poonam Redhu, Bharti Sharma, Pritikana Das, A. K. Pramanik, A. Banerjee, Pranay Goswami, Rajeev Kumar Mishra and Pankaj Kumar. Their work appears in journals such as Physical review. B., International Journal of Environmental Science and Technology, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Physica A Statistical Mechanics and its Applications and Mathematical Methods in the Applied 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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