Anik Das

667 total citations
26 papers, 475 citations indexed

About

Anik Das is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Building and Construction. According to data from OpenAlex, Anik Das has authored 26 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Safety, Risk, Reliability and Quality, 12 papers in Automotive Engineering and 12 papers in Building and Construction. Recurrent topics in Anik Das's work include Traffic and Road Safety (13 papers), Traffic Prediction and Management Techniques (11 papers) and Traffic control and management (7 papers). Anik Das is often cited by papers focused on Traffic and Road Safety (13 papers), Traffic Prediction and Management Techniques (11 papers) and Traffic control and management (7 papers). Anik Das collaborates with scholars based in United States, Bangladesh and China. Anik Das's co-authors include Mohamed M. Ahmed, Md Nasim Khan, Ali Ghasemzadeh, R. Alagirusamy, Shaun S. Wulff, Rony Mia, Taosif Ahmed, Nazmul Haque, Sanjana Hossain and Md. Hadiuzzaman and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Record Journal of the Transportation Research Board and Journal of Safety Research.

In The Last Decade

Anik Das

26 papers receiving 457 citations

Peers

Anik Das

SRRQ

CSE

Jin Xu China

Lanfang Zhang China

Ankit Kathuria India

Quan Yuan China

Teresa Iuele Italy

Othman Che Puan Malaysia

Xiaobei Jiang China

Salvatore Trubia Italy

Rafał Jurecki Poland

Abhisek Mudgal India

Jin Xu China

Anik Das

246 ×1.0

SRRQ

200 ×1.0

83 ×0.5

203 ×1.6

CSE

126 ×2.1

Citations per year, relative to Anik Das Anik Das (= 1×) peers Jin Xu

Countries citing papers authored by Anik Das

Since Specialization

Citations

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

Fields of papers citing papers by Anik Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anik Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anik Das. A scholar is included among the top collaborators of Anik Das 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 Anik Das. Anik Das 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

Das, Anik, et al.. (2024). An overview of phase change materials, their production, and applications in textiles. Results in Engineering. 25. 103603–103603. 16 indexed citations

Khan, Md Nasim, Anik Das, & Mohamed M. Ahmed. (2023). Prediction of Truck-Involved Crash Severity on a Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network. Journal of Transportation Engineering Part A Systems. 150(2). 11 indexed citations

Kutela, Boniphace, et al.. (2023). Exploring the utilization of Electric-vehicles’ free public charging facilities in small towns. A case of the town of Cary, North Carolina. Case Studies on Transport Policy. 15. 101142–101142. 2 indexed citations

Das, Anik, Md Nasim Khan, & Mohamed M. Ahmed. (2022). Deep Learning Approach for Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data. Transportation Research Record Journal of the Transportation Research Board. 2677(1). 907–928. 7 indexed citations

Das, Anik, Md Nasim Khan, Mohamed M. Ahmed, & Shaun S. Wulff. (2022). Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data. Journal of Transportation Safety & Security. 14(12). 2137–2165. 13 indexed citations

Ahmed, Mohamed M., et al.. (2022). Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review. Accident Analysis & Prevention. 167. 106568–106568. 32 indexed citations

Das, Anik & Mohamed M. Ahmed. (2022). Adjustment of key lane change parameters to develop microsimulation models for representative assessment of safety and operational impacts of adverse weather using SHRP2 naturalistic driving data. Journal of Safety Research. 81. 9–20. 13 indexed citations

Das, Anik, et al.. (2022). Design and Implementation of Surface Disinfection Robot Using UVC Light and Liquid Sanitizer. 369. 117–122. 4 indexed citations

Das, Anik & Mohamed M. Ahmed. (2022). Weather-Based Lane-Change Microsimulation Parameters for Safety and Operational Performance Evaluation of Weaving and Basic Freeway Segments. Transportation Research Record Journal of the Transportation Research Board. 2676(12). 550–563. 3 indexed citations

10.

Khan, Md Nasim, Anik Das, Mohamed M. Ahmed, & Shaun S. Wulff. (2021). Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features. Journal of Intelligent Transportation Systems. 25(5). 513–532. 13 indexed citations

11.

Das, Anik & Mohamed M. Ahmed. (2021). Machine Learning Approach for Predicting Lane-Change Maneuvers using the SHRP2 Naturalistic Driving Study Data. Transportation Research Record Journal of the Transportation Research Board. 2675(9). 574–594. 18 indexed citations

12.

Islam, Shariful, et al.. (2021). Determination of suitable traveller for definite yarn count: A comparative study. Global Journal of Engineering and Technology Advances. 9(1). 36–49. 1 indexed citations

13.

Das, Anik, Md Nasim Khan, & Mohamed M. Ahmed. (2020). Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques. Accident Analysis & Prevention. 142. 105578–105578. 59 indexed citations

14.

Das, Anik, Md Nasim Khan, & Mohamed M. Ahmed. (2020). Nonparametric Multivariate Adaptive Regression Splines Models for Investigating Lane-Changing Gap Acceptance Behavior Utilizing Strategic Highway Research Program 2 Naturalistic Driving Data. Transportation Research Record Journal of the Transportation Research Board. 2674(5). 223–238. 29 indexed citations

15.

Khan, Md Nasim, Anik Das, & Mohamed M. Ahmed. (2020). Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression for an In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather using SHRP2 Naturalistic Driving Study Data. Transportation Research Record Journal of the Transportation Research Board. 2674(11). 101–119. 21 indexed citations

16.

Das, Anik, Mohamed M. Ahmed, & Ali Ghasemzadeh. (2019). Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach. Accident Analysis & Prevention. 129. 250–262. 55 indexed citations

17.

Das, Anik & Mohamed M. Ahmed. (2019). Exploring the effect of fog on lane-changing characteristics utilizing the SHRP2 naturalistic driving study data. Journal of Transportation Safety & Security. 13(5). 477–502. 36 indexed citations

18.

Das, Anik, Ali Ghasemzadeh, & Mohamed M. Ahmed. (2018). A Comprehensive Analysis of Driver Lane-Keeping Performance in Fog Weather Conditions Using the SHRP2 Naturalistic Driving Study Data. Transportation Research Board 97th Annual MeetingTransportation Research Board. 3 indexed citations

19.

Das, Anik, Ali Ghasemzadeh, & Mohamed M. Ahmed. (2018). Analyzing the effect of fog weather conditions on driver lane-keeping performance using the SHRP2 naturalistic driving study data. Journal of Safety Research. 68. 71–80. 68 indexed citations

20.

Alagirusamy, R. & Anik Das. (2010). Technical textile yarns. Woodhead Publishing Limited eBooks. 40 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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