Gaurav Kumar

526 total citations · 1 hit paper
23 papers, 391 citations indexed

About

Gaurav Kumar is a scholar working on Global and Planetary Change, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Gaurav Kumar has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Artificial Intelligence and 4 papers in Environmental Engineering. Recurrent topics in Gaurav Kumar's work include COVID-19 epidemiological studies (3 papers), Water resources management and optimization (3 papers) and Machine Learning and ELM (2 papers). Gaurav Kumar is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Water resources management and optimization (3 papers) and Machine Learning and ELM (2 papers). Gaurav Kumar collaborates with scholars based in India and United States. Gaurav Kumar's co-authors include Sudeep Yadav, S. K. Saraswat, Abhijeet K. Digalwar, Rajiv Gupta, Kiran Kumari Singh, Stephanie Farewell, Rajendra Kumar Roul, Farhan Mohammad Khan, Harish Puppala and Dheeraj Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Environmental Science and Pollution Research.

In The Last Decade

Gaurav Kumar

17 papers receiving 374 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.

MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India

2021 217 citations S. K. Saraswat, Abhijeet K. Digalwar et al. Renewable Energy profile →

Peers

Gaurav Kumar

SPS

AI

POLLU

MSOR

EEE

David Solan United States

Tim Höfer Germany

Víctor Andrés Cloquell Ballester Spain

Anna Bazan-Krzywoszańska Poland

Georgios Xexakis Greece

Toni Toharudin Indonesia

Yogesh Kumar Singh India

Jeffrey C. Joe United States

Douglas Bessette United States

Fernando José da Silva Paiva Ribeiro Portugal

David Solan United States

Gaurav Kumar

327 ×2.7

SPS

84 ×0.8

AI

196 ×2.5

POLLU

29 ×0.5

MSOR

88 ×1.5

EEE

Citations per year, relative to Gaurav Kumar Gaurav Kumar (= 1×) peers David Solan

Countries citing papers authored by Gaurav Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Kumar

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

1.

Kumar, Gaurav, et al.. (2024). A top-down spatial scenario approach for identifying the locations of rainwater harvesting sites in an urban region. Environmental Science and Pollution Research. 31(49). 59430–59445. 1 indexed citations

2.

Dandabathula, Giribabu, et al.. (2024). Investigating emergency rescue readiness on Indian national highways: A case study of Jaipur-Jodhpur Highways (India) using a geospatial approach. SHILAP Revista de lepidopterología. 13(11). 5286–5295.

3.

Kumar, Gaurav, et al.. (2024). Machine Learning Approaches for Network Intrusion Detection: An Evaluation of their Efficacy in Bolstering Security. International Journal for Research in Applied Science and Engineering Technology. 12(7). 297–307.

4.

Kumar, Gaurav, et al.. (2024). Validation of ICESat-2 ATLAS Data Using Airborne LiDAR Over Godavari River Basin. 1–4.

5.

Pandey, Saroj Kumar, Kamred Udham Singh, Gaurav Kumar, et al.. (2023). COVID-19 Vaccination Progress and Projections Across African Continents. 1–6.

6.

Kumar, Gaurav, et al.. (2023). Customer Segmentation in Tourism Industry using Machine Learning Models. International Research Journal on Advanced Science Hub. 5(Issue 05S). 43–49. 1 indexed citations

7.

Kumar, Gaurav, et al.. (2022). A systematic basin-wide approach for locating and assessing volumetric potential of rainwater harvesting sites in the urban area. Environmental Science and Pollution Research. 30(6). 14707–14721. 15 indexed citations

8.

Mishra, Shailendra Kumar, et al.. (2022). Multi-Classification of Brain MRI Using EFFICIENTNET. 2022 International Conference for Advancement in Technology (ICONAT). 1–6. 6 indexed citations

9.

Khan, Farhan Mohammad, et al.. (2021). Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods. Journal of Safety Science and Resilience. 2(2). 50–62. 13 indexed citations

10.

Kumar, Gaurav, et al.. (2021). Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction. Library Hi Tech. 39(3). 903–911. 2 indexed citations

11.

Saraswat, S. K., Abhijeet K. Digalwar, Sudeep Yadav, & Gaurav Kumar. (2021). MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India. Renewable Energy. 169. 865–884. 217 indexed citations breakdown →

12.

Kumar, Gaurav, et al.. (2021). Assessment of sustainability index for rural water management using ANN. Water Science & Technology Water Supply. 22(2). 1421–1433. 4 indexed citations

13.

Sahoo, G., et al.. (2021). Energy‐aware autoscaling for scientific workflow in cloud environment. Concurrency and Computation Practice and Experience. 34(3). 1 indexed citations

14.

Kumar, Gaurav & Kiran Kumari Singh. (2020). Mapping and Monitoring the Selected Wetlands of Punjab, India, Using Geospatial Techniques. Journal of the Indian Society of Remote Sensing. 48(4). 615–625. 16 indexed citations

15.

Kumar, Gaurav & Amandeep Kaur. (2018). Status of wetlands in Punjab: A review on policy frameworks. Asian Journal of Multidimensional Research. 7(10). 169–177. 2 indexed citations

16.

Gupta, Rajiv & Gaurav Kumar. (2017). Scenario planning for water resource management in semi arid zone. Physics and Chemistry of the Earth Parts A/B/C. 105. 290–299. 7 indexed citations

17.

Kumar, Gaurav, et al.. (2016). National Inventory of Rabi Pulses in India Using Remotely Sensed Data. Journal of the Indian Society of Remote Sensing. 45(2). 285–295. 3 indexed citations

18.

Roul, Rajendra Kumar, et al.. (2016). Study on suitability and importance of multilayer extreme learning machine for classification of text data. Soft Computing. 21(15). 4239–4256. 21 indexed citations

19.

Kumar, Gaurav, et al.. (2012). The Effects of Perceived Stress and Facebook on Accounting Students’ Academic Performance. Accounting and Finance Research. 1(2). 52 indexed citations

20.

Farewell, Stephanie, et al.. (2010). Factors Influencing the University Selection of International Students. The Academy of Educational Leadership Journal. 14(3). 59. 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.

Explore authors with similar magnitude of impact