John Mathew

551 total citations
9 papers, 426 citations indexed

About

John Mathew is a scholar working on Management, Monitoring, Policy and Law, Geophysics and Aerospace Engineering. According to data from OpenAlex, John Mathew has authored 9 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management, Monitoring, Policy and Law, 3 papers in Geophysics and 3 papers in Aerospace Engineering. Recurrent topics in John Mathew's work include Landslides and related hazards (5 papers), earthquake and tectonic studies (3 papers) and Flood Risk Assessment and Management (2 papers). John Mathew is often cited by papers focused on Landslides and related hazards (5 papers), earthquake and tectonic studies (3 papers) and Flood Risk Assessment and Management (2 papers). John Mathew collaborates with scholars based in India. John Mathew's co-authors include Vandana Jha, Gautam Rawat, K. Vinod Kumar, Shyam Sundar Kundu, Charu C. Pant, S. Prasad, Pramod Kumar, Giribabu Dandabathula, Y. V. N. Krishna Murthy and George Philip and has published in prestigious journals such as International Journal of Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and Landslides.

In The Last Decade

John Mathew

9 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Mathew India 7 335 242 134 80 73 9 426
Claire Dashwood United Kingdom 9 398 1.2× 156 0.6× 189 1.4× 49 0.6× 72 1.0× 23 504
Yuan Hsi Lee China 2 383 1.1× 262 1.1× 99 0.7× 109 1.4× 92 1.3× 2 433
Mihai Micu Romania 13 443 1.3× 257 1.1× 160 1.2× 95 1.2× 87 1.2× 31 512
Yingtao Chen China 5 322 1.0× 315 1.3× 88 0.7× 86 1.1× 68 0.9× 11 504
Guoliang Du China 8 281 0.8× 144 0.6× 104 0.8× 66 0.8× 79 1.1× 23 383
Paula F. da Silva Portugal 7 329 1.0× 180 0.7× 109 0.8× 74 0.9× 88 1.2× 21 447
J. D. Jiménez-Perálvarez Spain 10 330 1.0× 201 0.8× 83 0.6× 82 1.0× 82 1.1× 11 388
Marco Pizziolo Italy 8 403 1.2× 209 0.9× 211 1.6× 46 0.6× 52 0.7× 13 468
Benni Thiebes China 11 397 1.2× 180 0.7× 185 1.4× 76 0.9× 95 1.3× 28 475
Yuri Galanti Italy 12 423 1.3× 210 0.9× 167 1.2× 85 1.1× 93 1.3× 21 543

Countries citing papers authored by John Mathew

Since Specialization
Citations

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

Fields of papers citing papers by John Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Mathew

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

All Works

9 of 9 papers shown
1.
Mathew, John, Shyam Sundar Kundu, K. Vinod Kumar, & Charu C. Pant. (2015). Hydrologically complemented deterministic slope stability analysis in part of Indian Lesser Himalaya. Geomatics Natural Hazards and Risk. 7(5). 1557–1576. 10 indexed citations
2.
Mathew, John, et al.. (2014). SAR interferometry and optical remote sensing for analysis of co-seismic deformation, source characteristics and mass wasting pattern of Lushan (China, April 2013) earthquake. International Journal of Applied Earth Observation and Geoinformation. 35. 338–349. 6 indexed citations
3.
Krishna, Shankara Narayanan, John Mathew, Ratul Majumdar, Priyom Roy, & K. Vinod Kumar. (2014). Geodynamics of the Indian Lithospheric Plate relative to the neighbouring Plates as revealed by Space Geodetic Measurements. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 53–56. 1 indexed citations
4.
Mathew, John, Ratul Majumdar, & K. Vinod Kumar. (2014). Estimating the atmospheric phase delay for quantifying co-seismic deformation using repeat pass Differential SAR Interferometry: Observations from 20th April 2013 Lushan (China) Earthquake. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 57–64. 2 indexed citations
5.
6.
Dandabathula, Giribabu, Pramod Kumar, John Mathew, S. Prasad, & Y. V. N. Krishna Murthy. (2013). DEM generation using Cartosat-1 stereo data: issues and complexities in Himalayan terrain. European Journal of Remote Sensing. 46(1). 431–443. 32 indexed citations
7.
8.
Mathew, John, Vandana Jha, & Gautam Rawat. (2007). Application of binary logistic regression analysis and its validation for landslide susceptibility mapping in part of Garhwal Himalaya, India. International Journal of Remote Sensing. 28(10). 2257–2275. 67 indexed citations
9.
Philip, George, et al.. (2003). Mapping the Nidar Ophiolite Complex of the Indus Suture Zone, Northwestern-Trans Himalaya using IRS-1C/1D data. International Journal of Remote Sensing. 24(24). 4979–4994. 15 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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