Pritikana Das

416 total citations
20 papers, 236 citations indexed

About

Pritikana Das is a scholar working on Building and Construction, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Pritikana Das has authored 20 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Building and Construction, 9 papers in Control and Systems Engineering and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Pritikana Das's work include Traffic control and management (9 papers), Traffic and Road Safety (8 papers) and Traffic Prediction and Management Techniques (7 papers). Pritikana Das is often cited by papers focused on Traffic control and management (9 papers), Traffic and Road Safety (8 papers) and Traffic Prediction and Management Techniques (7 papers). Pritikana Das collaborates with scholars based in India and Italy. Pritikana Das's co-authors include V. K. Katiyar, Kranti Kumar, Manoranjan Parida, Indrajit Ghosh, Ashish Bhaskar, Durga Prasad and Ebrahim Ghaderpour and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Heliyon and Journal of Traffic and Transportation Engineering (English Edition).

In The Last Decade

Pritikana Das

18 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pritikana Das India 7 155 102 61 61 32 20 236
Sen Luan China 7 175 1.1× 147 1.4× 37 0.6× 82 1.3× 83 2.6× 8 328
Sarah Hernandez United States 10 124 0.8× 77 0.8× 53 0.9× 22 0.4× 29 0.9× 41 287
Manfred Boltze Germany 10 167 1.1× 197 1.9× 124 2.0× 140 2.3× 34 1.1× 53 351
Yangbeibei Ji China 9 197 1.3× 221 2.2× 64 1.0× 214 3.5× 27 0.8× 25 321
Jiarong Yao China 10 193 1.2× 93 0.9× 72 1.2× 181 3.0× 47 1.5× 26 280
Masuo Kashiwadani Japan 7 155 1.0× 252 2.5× 54 0.9× 129 2.1× 34 1.1× 24 343
Dayi Qu China 10 95 0.6× 84 0.8× 117 1.9× 166 2.7× 53 1.7× 53 281
Erik de Romph Netherlands 10 96 0.6× 254 2.5× 81 1.3× 52 0.9× 12 0.4× 22 294
Livia Mannini Italy 11 158 1.0× 244 2.4× 113 1.9× 80 1.3× 19 0.6× 32 390
Jianxiao Ma China 11 107 0.7× 108 1.1× 123 2.0× 139 2.3× 89 2.8× 45 343

Countries citing papers authored by Pritikana Das

Since Specialization
Citations

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

Fields of papers citing papers by Pritikana Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritikana Das

This figure shows the co-authorship network connecting the top 25 collaborators of Pritikana Das. A scholar is included among the top collaborators of Pritikana 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 Pritikana Das. Pritikana Das 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.
Prasad, Durga, et al.. (2024). CNNViT: A robust deep neural network for video anomaly detection. IET conference proceedings.. 2023(39). 13–22. 2 indexed citations
2.
Das, Pritikana, et al.. (2024). Bridging conventional and proactive approaches for road safety analytic modeling and future perspectives. Innovative Infrastructure Solutions. 9(5).
3.
Das, Pritikana, et al.. (2024). Conflict-Based safety evaluations at unsignalized intersections using surrogate safety measures. Heliyon. 10(5). e27665–e27665. 6 indexed citations
4.
Das, Pritikana, et al.. (2024). Prediction of pedestrian crossing behaviour at unsignalized intersections using machine learning algorithms: analysis and comparison. Journal on Multimodal User Interfaces. 18(2-3). 239–256. 3 indexed citations
5.
Das, Pritikana, et al.. (2024). Driver behavior modeling at uncontrolled intersections under Indian traffic conditions. Innovative Infrastructure Solutions. 9(4).
6.
Das, Pritikana, et al.. (2023). Surrogate Safety Assessment of Traffic Facilities under Ordered and Disordered Traffic Condition: Systematic Literature Review. KSCE Journal of Civil Engineering. 27(11). 5008–5029. 7 indexed citations
7.
Das, Pritikana, et al.. (2023). A Review on Surrogate Safety Measures Using Extreme Value Theory. Lecture notes in civil engineering. 641–651. 3 indexed citations
8.
Kumar, Kranti, et al.. (2023). Traffic congestion forecasting using multilayered deep neural network. Transportation Letters. 16(6). 516–526. 15 indexed citations
9.
Das, Pritikana, et al.. (2022). A Review on Surrogate Safety Measures in Safety Evaluation and Analysis. Lecture notes in civil engineering. 113–129. 6 indexed citations
10.
Das, Pritikana, et al.. (2021). A machine learning approach for modelling parking duration in urban land-use. Physica A Statistical Mechanics and its Applications. 572. 125873–125873. 19 indexed citations
11.
Kumar, Kranti, et al.. (2021). Study on road traffic congestion: A review. 230–240. 9 indexed citations
12.
Das, Pritikana. (2021). A Methodology of Evaluating Urban Parking System: Case Study of Delhi. 81(ET.2021). 1–16. 2 indexed citations
13.
Das, Pritikana, et al.. (2020). Evaluation of Parking Characteristics: A case study of Delhi. Transportation research procedia. 48. 2744–2756. 21 indexed citations
14.
Das, Pritikana, et al.. (2019). Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering (English Edition). 7(1). 111–124. 114 indexed citations
15.
Das, Pritikana, et al.. (2019). Development of landuse based pedestrian level of service in Indian context. 74. 2 indexed citations
16.
Das, Pritikana, et al.. (2018). MACROSCOPIC PEDESTRIAN FLOW MODELLING USING SIMULATION TECHNIQUE. International Journal for Traffic and Transport Engineering. 8(2). 166–176. 2 indexed citations
17.
Das, Pritikana, Manoranjan Parida, Ashish Bhaskar, & V. K. Katiyar. (2016). Optimization Technique for Pedestrian Data Extraction. Transportation research procedia. 17. 32–42. 2 indexed citations
18.
Das, Pritikana, Manoranjan Parida, & V. K. Katiyar. (2015). Analysis of interrelationship between pedestrian flow parameters using artificial neural network. Journal of Modern Transportation. 23(4). 298–309. 19 indexed citations
19.
Das, Pritikana, Manoranjan Parida, & V. K. Katiyar. (2015). PEDESTRIAN RESPONSE TO ROAD TRAFFIC NOISE FOR MEDIUM SIZE CITY IN INDIA. International Journal for Traffic and Transport Engineering. 5(3). 286–293. 2 indexed citations
20.
Das, Pritikana, et al.. (2012). MATLAB Programming Solution For Critical And Normal Depth In Trapezoidal Channels. 1(8). 2 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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