Subasish Das

13.0k total citations · 2 hit papers
254 papers, 3.2k citations indexed

About

Subasish Das is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Building and Construction. According to data from OpenAlex, Subasish Das has authored 254 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Safety, Risk, Reliability and Quality, 81 papers in Transportation and 73 papers in Building and Construction. Recurrent topics in Subasish Das's work include Traffic and Road Safety (189 papers), Traffic Prediction and Management Techniques (72 papers) and Urban Transport and Accessibility (65 papers). Subasish Das is often cited by papers focused on Traffic and Road Safety (189 papers), Traffic Prediction and Management Techniques (72 papers) and Urban Transport and Accessibility (65 papers). Subasish Das collaborates with scholars based in United States, Iran and South Korea. Subasish Das's co-authors include Xiaoduan Sun, Anandi Dutta, Xiaoqiang Kong, Ioannis Tsapakis, Mohammad Jalayer, Karen Dixon, M. Ashifur Rahman, Raul Avelar, Kay Fitzpatrick and Reuben Tamakloe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Subasish Das

229 papers receiving 3.1k 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.

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics

2024 94 citations Subasish Das et al. profile →
A Survey on Kolmogorov-Arnold Network

2025 25 citations Subasish Das et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subasish Das United States	30	2.0k	927	784	622	566	254	3.2k
Mohamed M. Ahmed United States	35	2.4k 1.2×	676 0.7×	1.2k 1.5×	1.0k 1.6×	462 0.8×	157	3.5k
Tom Brijs Belgium	41	2.9k 1.4×	1.6k 1.7×	596 0.8×	710 1.1×	1.1k 2.0×	294	5.4k
N.N. Sze Hong Kong	34	2.4k 1.2×	1.9k 2.1×	738 0.9×	609 1.0×	444 0.8×	150	3.8k
Eleonora Papadimitriou Greece	33	2.1k 1.0×	1.3k 1.4×	354 0.5×	426 0.7×	640 1.1×	148	3.2k
Hong Yang United States	33	1.5k 0.7×	1.1k 1.2×	888 1.1×	898 1.4×	223 0.4×	150	3.5k
Qing Cai United States	30	1.8k 0.9×	1.1k 1.2×	1.0k 1.3×	683 1.1×	152 0.3×	71	2.7k
Hoong Chor Chin Singapore	28	2.4k 1.2×	1.7k 1.8×	638 0.8×	424 0.7×	251 0.4×	87	3.6k
David A. Noyce United States	26	1.9k 0.9×	1.1k 1.1×	670 0.9×	905 1.5×	753 1.3×	216	3.1k
Andrew P. Tarko United States	25	2.2k 1.1×	824 0.9×	769 1.0×	643 1.0×	227 0.4×	95	2.7k
Jianming Ma United States	23	1.4k 0.7×	567 0.6×	441 0.6×	349 0.6×	463 0.8×	62	1.8k

Countries citing papers authored by Subasish Das

Since Specialization

Citations

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

Fields of papers citing papers by Subasish Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subasish Das

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dadashova, Bahar, et al.. (2025). Analysis of motorcyclists crash severity using cluster correspondence and hierarchical binary logit models. SHILAP Revista de lepidopterología. 4(1). 100197–100197. 4 indexed citations

Kutela, Boniphace, et al.. (2025). Understanding spatial–temporal attributes influencing electric vehicle's charging stations utilization: A multi-city study. Green Energy and Intelligent Transportation. 4(5). 100255–100255. 1 indexed citations

Aghabayk, Kayvan, et al.. (2025). E-scooter crash severity in the United Kingdom: A comparative analysis using machine learning techniques and random parameters logit with heterogeneity in means and variances. IATSS Research. 49(2). 155–168. 1 indexed citations

Das, Subasish, et al.. (2025). Assessing risk factors in ambulance-involved collisions: understanding the impact of COVID-19 pandemic. Transportmetrica A Transport Science. 1–40.

Kutela, Boniphace, et al.. (2024). Understanding user behaviors and safety concerns on shared use paths in Edmonton, Canada. Cities. 150. 105042–105042. 1 indexed citations

Sun, Xiaoduan, et al.. (2024). Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means. Accident Analysis & Prevention. 199. 107503–107503. 14 indexed citations

Adanu, Emmanuel Kofi, et al.. (2024). Analyzing fatal crash patterns of recidivist drivers across genders and age Groups: A hazard-based duration approach. Accident Analysis & Prevention. 206. 107713–107713. 6 indexed citations

Haghighi, Farshidreza, et al.. (2024). Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model. Journal of Traffic and Transportation Engineering (English Edition). 11(5). 853–866. 9 indexed citations

Sheykhfard, Abbas, et al.. (2024). Analyzing purchase intentions of used electric vehicles through consumer experiences: A structural equation modeling approach. Transport Policy. 160. 125–137. 1 indexed citations

10.

Rahman, M. Ashifur, et al.. (2024). Exploring Attribute Associations in Pedestrian-Involved Hit-and-Run Crashes through Cluster Correspondence Analysis. Transportation Research Record Journal of the Transportation Research Board. 2678(11). 1079–1098. 1 indexed citations

11.

Liu, Jinli, et al.. (2024). Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering. Transportation Research Part D Transport and Environment. 139. 104538–104538. 2 indexed citations

12.

Sheykhfard, Abbas, et al.. (2024). Understanding the influence of environmental factors on driver speed: A structural equation modeling analysis. IATSS Research. 48(3). 427–439. 13 indexed citations

13.

Das, Subasish, et al.. (2024). Impact of level 2 automation on driver behavior: A study using association rules mining. Transportation Research Part F Traffic Psychology and Behaviour. 107. 937–950.

14.

Kutela, Boniphace, et al.. (2023). Eliciting the influence of roadway and traffic conditions on hurricane evacuation decisions using regression-content analysis approach. Travel Behaviour and Society. 33. 100623–100623. 4 indexed citations

15.

Das, Subasish, et al.. (2023). Do people act differently while using ridesharing services with children?. Transportation Research Part A Policy and Practice. 171. 103647–103647. 2 indexed citations

16.

Sun, Xiaoduan, et al.. (2023). Exploring association of contributing factors to pedestrian fatal and severe injury crashes under dark-no-streetlight condition. IATSS Research. 47(2). 214–224. 10 indexed citations

17.

Kong, Xiaoqiang, Zihao Li, Yunlong Zhang, et al.. (2023). Case Study on the Relationship Between Socio-Demographic Characteristics and Work-from-Home Behavior Before, During, and After the COVID-19 Pandemic. Transportation Research Record Journal of the Transportation Research Board. 2678(2). 11–23. 3 indexed citations

18.

Ye, Xinyue, et al.. (2023). Enhancing routes selection with real-time weather data integration in spatial decision support systems. Spatial Information Research. 32(4). 373–381. 7 indexed citations

19.

Liu, Jinli, Subasish Das, & Md Nasim Khan. (2023). Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis. Accident Analysis & Prevention. 194. 107375–107375. 8 indexed citations

20.

Singh, Ambrish, Subasish Das, Arvind Chopra, et al.. (2022). Burden of osteoarthritis in India and its states, 1990–2019: findings from the Global Burden of disease study 2019. Osteoarthritis and Cartilage. 30(8). 1070–1078. 45 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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