Gaurav Tripathi

928 total citations
37 papers, 573 citations indexed

About

Gaurav Tripathi is a scholar working on Global and Planetary Change, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gaurav Tripathi has authored 37 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gaurav Tripathi's work include Flood Risk Assessment and Management (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Hydrology and Drought Analysis (4 papers). Gaurav Tripathi is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Hydrology and Drought Analysis (4 papers). Gaurav Tripathi collaborates with scholars based in India, Japan and United States. Gaurav Tripathi's co-authors include Kuldeep Singh, Dinesh Kumar Vishwakarma, Arvind Chandra Pandey, Bikash Ranjan Parida, Amit Kumar, Gurjit Singh Walia, Sandeep Kumar, Suraj Kumar Singh, Shruti Kanga and Anowarul Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Gaurav Tripathi

33 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Tripathi India 12 219 174 149 83 66 37 573
Umi Kalthum Ngah Malaysia 15 212 1.0× 95 0.5× 254 1.7× 23 0.3× 24 0.4× 50 690
Nivedita Sairam Germany 15 128 0.6× 221 1.3× 47 0.3× 80 1.0× 62 0.9× 53 577
Hongyan Li China 12 187 0.9× 96 0.6× 293 2.0× 84 1.0× 47 0.7× 55 651
George Kopsiaftis Greece 12 98 0.4× 87 0.5× 102 0.7× 67 0.8× 127 1.9× 24 601
Akhtar Jamıl Türkiye 15 298 1.4× 71 0.4× 156 1.0× 66 0.8× 102 1.5× 58 837
Nouar AlDahoul Malaysia 14 131 0.6× 53 0.3× 134 0.9× 114 1.4× 158 2.4× 63 560
Anju Asokan India 10 77 0.4× 108 0.6× 118 0.8× 25 0.3× 52 0.8× 27 533
Ankush Manocha India 13 91 0.4× 37 0.2× 55 0.4× 21 0.3× 27 0.4× 40 444
Pakorn Watanachaturaporn Thailand 6 75 0.3× 112 0.6× 39 0.3× 31 0.4× 97 1.5× 15 611

Countries citing papers authored by Gaurav Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Tripathi. A scholar is included among the top collaborators of Gaurav Tripathi 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 Tripathi. Gaurav Tripathi 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.
Tripathi, Gaurav, et al.. (2024). Spatio-Temporal Monitoring and Assessment of Air Quality and its Impact on Public Health from Geospatial perspective over Haryana, India. SHILAP Revista de lepidopterología. XLVIII-4-2024. 409–415.
2.
Yadav, Manisha, et al.. (2024). Comparative metabolome analysis reveals higher potential of haemoperfusion adsorption in providing favourable outcome in ACLF patients. Liver International. 44(5). 1189–1201. 6 indexed citations
3.
Tripathi, Gaurav, Shruti Kanga, Suraj Kumar Singh, et al.. (2024). An integrated geospatial and analytical hierarchy process approach for sustainable water management in the Amravati District, India. Water Science & Technology Water Supply. 24(3). 673–691. 2 indexed citations
4.
Mohajane, Meriame, et al.. (2024). Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco. Remote Sensing. 16(5). 858–858. 33 indexed citations
5.
Pani, Agnivesh, et al.. (2024). People with disabilities and transit use: Findings from nationwide data in India. Transportation Research Part D Transport and Environment. 139. 104558–104558. 2 indexed citations
6.
Tripathi, Gaurav, Bojan Đurin, Vlado Cetl, et al.. (2023). Groundwater Potential Zone Mapping in the Ghaggar River Basin, North-West India, Using Integrated Remote Sensing and GIS Techniques. Water. 15(5). 961–961. 16 indexed citations
7.
Tripathi, Gaurav, Naval Kishore, Gowhar Meraj, et al.. (2023). Assessing Landslide Susceptibility along India’s National Highway 58: A Comprehensive Approach Integrating Remote Sensing, GIS, and Logistic Regression Analysis. SHILAP Revista de lepidopterología. 3(3). 444–459. 9 indexed citations
8.
Tripathi, Gaurav, Arvind Chandra Pandey, & Bikash Ranjan Parida. (2022). Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data. Sustainability. 14(3). 1472–1472. 33 indexed citations
9.
10.
Tripathi, Gaurav, et al.. (2021). GI-Science Based Morphometric Analysis for Geo-Hydrological Studies of Ghaggar River Basin, North-West India. Turkish Online Journal of Qualitative Inquiry. 12(9). 2487–2499–2487–2499. 1 indexed citations
11.
Parida, Bikash Ranjan, Gaurav Tripathi, Arvind Chandra Pandey, & Amit Kumar. (2021). Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India). Geocarto International. 37(15). 4336–4360. 20 indexed citations
12.
Tripathi, Gaurav, Kuldeep Singh, & Dinesh Kumar Vishwakarma. (2021). Applied convolutional neural network framework for tagging healthcare systems in crowd protest environment. Mathematical Biosciences & Engineering. 18(6). 8727–8757. 4 indexed citations
13.
Tripathi, Gaurav, et al.. (2021). Community Hatred Detection Using Deep Learning on social media in an IoT Environment. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6. 1 indexed citations
14.
15.
Singh, Kuldeep, et al.. (2019). Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets. Neurocomputing. 371. 188–198. 89 indexed citations
16.
Tripathi, Gaurav, Bikash Ranjan Parida, & Arvind Chandra Pandey. (2019). Spatio-Temporal Rainfall Variability and Flood Prognosis Analysis Using Satellite Data over North Bihar during the August 2017 Flood Event. Hydrology. 6(2). 38–38. 20 indexed citations
17.
Tripathi, Gaurav, Anowarul Habib, Krishna Agarwal, & Dilip K. Prasad. (2019). Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. Sensors. 19(19). 4216–4216. 25 indexed citations
18.
Singh, Kuldeep, et al.. (2017). Sparse proximity based robust fingerprint recognition. 14. 1025–1028. 1 indexed citations
19.
Tripathi, Gaurav, et al.. (2016). Landsat 8 Data Modeled as DGGS Data Cubes. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
20.
Kumar, Anjani, et al.. (2015). Dynamics of Access to Rural Credit in India: Patterns and Determinants. Agricultural Economics Research Review. 28(conf). 151–151. 21 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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