Vaibhav Kumar

669 total citations
39 papers, 381 citations indexed

About

Vaibhav Kumar is a scholar working on Ocean Engineering, Transportation and Global and Planetary Change. According to data from OpenAlex, Vaibhav Kumar has authored 39 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ocean Engineering, 9 papers in Transportation and 9 papers in Global and Planetary Change. Recurrent topics in Vaibhav Kumar's work include Urban Transport and Accessibility (7 papers), Evacuation and Crowd Dynamics (6 papers) and Flood Risk Assessment and Management (5 papers). Vaibhav Kumar is often cited by papers focused on Urban Transport and Accessibility (7 papers), Evacuation and Crowd Dynamics (6 papers) and Flood Risk Assessment and Management (5 papers). Vaibhav Kumar collaborates with scholars based in India, Singapore and United Kingdom. Vaibhav Kumar's co-authors include Arnab Jana, Ajay Kumar Taloor, Krithi Ramamritham, Bahadur Singh Kotlia, Prashant Kumar Champati Ray, Avtar Singh Jasrotia, Sagarika Roy, Anil Kumar Singh, Abhilash Singh and Kumar Gaurav and has published in prestigious journals such as Scientific Reports, Environmental Pollution and Expert Systems with Applications.

In The Last Decade

Vaibhav Kumar

32 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaibhav Kumar India 10 107 92 51 46 43 39 381
S. Balaji India 12 63 0.6× 50 0.5× 54 1.1× 108 2.3× 75 1.7× 92 453
Qifan Wu China 12 74 0.7× 78 0.8× 27 0.5× 29 0.6× 30 0.7× 49 469
Ralph Kiefl Germany 7 155 1.4× 86 0.9× 96 1.9× 38 0.8× 62 1.4× 20 524
Turan Erden Türkiye 10 118 1.1× 35 0.4× 52 1.0× 53 1.2× 39 0.9× 18 470
Niyazi Arslan Türkiye 14 84 0.8× 186 2.0× 21 0.4× 44 1.0× 47 1.1× 27 459
Shoaib Ali China 16 264 2.5× 115 1.3× 67 1.3× 32 0.7× 38 0.9× 28 627
Ronaldo Luna United States 18 47 0.4× 71 0.8× 53 1.0× 54 1.2× 24 0.6× 68 904
Benjamin Lévy United States 12 153 1.4× 128 1.4× 47 0.9× 23 0.5× 23 0.5× 41 494
Michelle Bensi United States 13 120 1.1× 54 0.6× 46 0.9× 13 0.3× 90 2.1× 46 602
Xiaojing Wang China 11 171 1.6× 50 0.5× 32 0.6× 90 2.0× 38 0.9× 34 525

Countries citing papers authored by Vaibhav Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vaibhav Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaibhav Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Kumar. A scholar is included among the top collaborators of Vaibhav Kumar 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 Vaibhav Kumar. Vaibhav Kumar 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.
Kumar, Vaibhav, et al.. (2025). Development and application of DAISY framework for benchmarking AI generated vs human-written abstracts in dental research. International Journal of Medical Informatics. 207. 106190–106190.
2.
Venkatesh, U, et al.. (2025). Geographic distribution of affordable dental care services through educational institutes in India: A national level GIS-based mapping study. Journal of Oral Biology and Craniofacial Research. 15(5). 1141–1148.
3.
Singh, Abhilash, et al.. (2024). Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. Environmental Modelling & Software. 175. 105995–105995. 7 indexed citations
4.
Kumar, Vaibhav, et al.. (2024). Powerline extraction from aerial and mobile LiDAR data using deep learning. Earth Science Informatics. 17(4). 2819–2833. 4 indexed citations
5.
Kumar, Vaibhav, et al.. (2024). Building usage prediction in complex urban scenes by fusing text and facade features from street view images using deep learning. Building and Environment. 267. 112174–112174. 9 indexed citations
6.
Ullah, Najeeb, et al.. (2024). ASSESSMENT OF KNOWLEDGE AMONG SURGICAL NURSES REGARDING SURGICAL TIME OUT PROTOCOLS IN THE OPERATING ROOM AT TERTIARY HOSPITAL RAWALPINDI. Biological and Clinical Sciences Research Journal. 2024(1). 838–838. 1 indexed citations
7.
Singh, Vivek Kumar & Vaibhav Kumar. (2023). Enhancing emergency vehicle access in dense settlements of Mumbai using high-resolution satellite imagery: A deep learning approach. International Journal of Disaster Risk Reduction. 100. 104212–104212. 1 indexed citations
8.
Singh, Abhilash, et al.. (2023). AutoML-GWL: Automated machine learning model for the prediction of groundwater level. Engineering Applications of Artificial Intelligence. 127. 107405–107405. 34 indexed citations
9.
Kumar, Vaibhav, et al.. (2023). Dynamic routing for efficient waste collection in resource constrained societies. Scientific Reports. 13(1). 2365–2365. 4 indexed citations
10.
Kumar, Vaibhav, et al.. (2023). Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Computing and Applications. 35(16). 11773–11788. 8 indexed citations
11.
12.
Kumar, Vaibhav. (2022). Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model. Scientific Reports. 12(1). 1849–1849. 18 indexed citations
13.
Kumar, Vaibhav, et al.. (2022). JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning. arXiv (Cornell University). 1 indexed citations
14.
Kumar, Dipesh, et al.. (2021). COVID-19 driven changes in the air quality; a study of major cities in the Indian state of Uttar Pradesh. Environmental Pollution. 274. 116512–116512. 19 indexed citations
15.
Kumar, Vaibhav, Ahana Sarkar, & Arnab Jana. (2021). Big Data and WebGIS for Formulating Health Care Policy in India. 1–6.
16.
Kumar, Vaibhav, et al.. (2017). A Neural Clickbait Detection Engine.. arXiv (Cornell University). 6 indexed citations
17.
Kumar, Vaibhav, et al.. (2016). Influence of phosphorylation on the foamability and stability of bovine serum albumin and citrus peel pectin mixed foams. Journal of Dispersion Science and Technology. 38(9). 1266–1275. 1 indexed citations
18.
Kumar, Vaibhav. (2014). THE IMPACT OF STRATEGIC HUMAN RESOURCE MANAGEMENT ON ACHIEVEMENT OF ORGANISATIONAL GOALS & OBJECTIVES: STUDY ON ATTRACTION OF PUBLIC SECTOR COMPANIES FOR EMPLOYMENT IN INDIA. 1 indexed citations
19.
Kumar, Vaibhav, et al.. (2012). Green Computing-Making Technology Fruitful. International journal of scientific and technology research. 1(5). 54–57. 3 indexed citations
20.
Kumar, Vaibhav, et al.. (1994). Toward building an expert system for weather forecasting operations. Expert Systems with Applications. 7(2). 373–381. 6 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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