Poonam Redhu

2.5k total citations · 1 hit paper
44 papers, 2.1k citations indexed

About

Poonam Redhu is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Poonam Redhu has authored 44 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 20 papers in Transportation and 18 papers in Building and Construction. Recurrent topics in Poonam Redhu's work include Traffic control and management (42 papers), Transportation Planning and Optimization (20 papers) and Traffic Prediction and Management Techniques (18 papers). Poonam Redhu is often cited by papers focused on Traffic control and management (42 papers), Transportation Planning and Optimization (20 papers) and Traffic Prediction and Management Techniques (18 papers). Poonam Redhu collaborates with scholars based in India and China. Poonam Redhu's co-authors include Arvind Kumar Gupta, Arvind Gupta, Arvind Kumar Gupta, Sapna Sharma and Kranti Kumar and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).

In The Last Decade

Poonam Redhu

44 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

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

Poonam Redhu

CSE

TRANS

Guanghan Peng China

Martin Schönhof Germany

Taixiong Zheng China

Venkatesan Kanagaraj India

Mehmet Yildirimoḡlu Australia

Lili Lu China

Nikola Mitrović United States

Kevin Balke United States

Samer H. Hamdar United States

Toru Seo Japan

Guanghan Peng China

Poonam Redhu

2.7k ×1.4

CSE

1.8k ×1.5

TRANS

1.3k ×1.3

838 ×1.3

576 ×1.3

Citations per year, relative to Poonam Redhu Poonam Redhu (= 1×) peers Guanghan Peng

Countries citing papers authored by Poonam Redhu

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Redhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Redhu

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

All Works

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20 of 20 papers shown

Redhu, Poonam, et al.. (2025). The interplay of passing, driver attention, and cyber attack-induced information delays on traffic stability. Chaos Solitons & Fractals. 196. 116366–116366. 9 indexed citations

Redhu, Poonam, et al.. (2025). Analyzing the impact of adjacent lane dynamics on traffic stability under passing and driver attention in a two-lane scenario. International Journal of Non-Linear Mechanics. 172. 105040–105040. 7 indexed citations

Redhu, Poonam, et al.. (2025). Effect of weather’s visibility on traffic dynamics: a novel lattice hydrodynamic model for curved roads with passing. The European Physical Journal B. 98(1). 7 indexed citations

Redhu, Poonam, et al.. (2025). Analysis of Interruption Effect on Density Differences in Traffic Flow using a Lattice Model under Connected Vehicles Environment. International Journal of Intelligent Transportation Systems Research. 23(1). 503–512. 4 indexed citations

Redhu, Poonam, et al.. (2025). Analyzing the impact of nearby information of vehicles on a car-following model in a V2X communication with passing. International Journal of Non-Linear Mechanics. 175. 105113–105113. 3 indexed citations

Redhu, Poonam, et al.. (2025). The role of interruptions in V2V communication: Investigating the consequences on passing and attention. International Journal of Non-Linear Mechanics. 177. 105151–105151. 2 indexed citations

Redhu, Poonam, et al.. (2025). Curved Road Traffic Dynamics: A Lattice Model Integrating Visibility Effects and Predictive Driving Behavior. Journal of Computational and Nonlinear Dynamics. 20(11). 2 indexed citations

Redhu, Poonam, et al.. (2025). Traffic Jerk Effect From Non-motor Automobiles and Velocity Prediction Effect in Car-Following Model Under V2X Environment. Indian Journal of Science and Technology. 18(4). 258–267. 6 indexed citations

Redhu, Poonam, et al.. (2025). Impact of headway uncertainty on traffic flow: Asymptotic and local stability analysis of car-following model. Physica A Statistical Mechanics and its Applications. 680. 130998–130998. 2 indexed citations

10.

Redhu, Poonam, et al.. (2024). Impact of driving prediction on headway and velocity in car-following model under V2X environment. Physica A Statistical Mechanics and its Applications. 635. 129493–129493. 26 indexed citations

11.

Redhu, Poonam, et al.. (2024). Enhancing driver’s attention and overtaking efficiency in car-following model for Advanced Driver Assistance Systems (ADAS) vehicles. Physica A Statistical Mechanics and its Applications. 657. 130207–130207. 19 indexed citations

12.

Redhu, Poonam, et al.. (2024). Analysis of passing behavior on car-following model under the influence of cyberattacks. Nonlinear Dynamics. 112(9). 7269–7289. 28 indexed citations

13.

Redhu, Poonam, et al.. (2024). Analysis of driver’s psychological headway in car-following model with memory effect in V2V communication environment. AIP conference proceedings. 3081. 70007–70007. 11 indexed citations

14.

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

15.

Redhu, Poonam, et al.. (2024). Psychological Driver Sensitivity in Lattice Hydrodynamic Traffic Model under Passing Behaviour. Indian Journal of Science and Technology. 17(26). 2708–2718. 8 indexed citations

16.

Redhu, Poonam, et al.. (2024). Self-Anticipation and Current Difference Effect in Lattice Model under Lane-Changing Behavior. Indian Journal of Science and Technology. 17(43). 4476–4486. 11 indexed citations

17.

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

18.

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

19.

Redhu, Poonam, et al.. (2023). Driver Predictions and Energy Consumption in Car-following Model with BFL Effect. Communications in Mathematics and Applications. 14(2). 727–744. 5 indexed citations

20.

Redhu, Poonam, et al.. (2023). Impact of driver's advanced reaction time in car-following model with optimal velocity deviation under V2X environment. Europhysics Letters (EPL). 143(5). 52004–52004. 25 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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