Ajay Mathur

3.6k total citations · 1 hit paper
26 papers, 2.6k citations indexed

About

Ajay Mathur is a scholar working on Renewable Energy, Sustainability and the Environment, Ecology and Media Technology. According to data from OpenAlex, Ajay Mathur has authored 26 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Renewable Energy, Sustainability and the Environment, 6 papers in Ecology and 5 papers in Media Technology. Recurrent topics in Ajay Mathur's work include Remote Sensing in Agriculture (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Remote-Sensing Image Classification (5 papers). Ajay Mathur is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Remote-Sensing Image Classification (5 papers). Ajay Mathur collaborates with scholars based in India, United Kingdom and United States. Ajay Mathur's co-authors include Giles M. Foody, Carolina Sanchez‐Hernandez, Doreen S. Boyd, Ambuj Sagar, Akira Tanabe, Michael Grubb, Steve Rayner, Radhika Khosla, T. M. Lillesand and Jonathan Chipman and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Energy Policy.

In The Last Decade

Ajay Mathur

25 papers receiving 2.4k citations

Hit Papers

A relative evaluation of multiclass image classification ... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajay Mathur India 13 1.2k 1.0k 642 631 488 26 2.6k
Chenn‐Jung Huang Taiwan 19 755 0.6× 664 0.6× 429 0.7× 483 0.8× 329 0.7× 101 2.6k
Raul Queiroz Feitosa Brazil 23 1.3k 1.1× 1.2k 1.2× 559 0.9× 757 1.2× 944 1.9× 126 3.2k
Alireza Sharifi Iran 36 946 0.8× 665 0.6× 614 1.0× 836 1.3× 575 1.2× 74 2.6k
Alim Samat China 29 604 0.5× 1.2k 1.1× 869 1.4× 563 0.9× 504 1.0× 131 2.9k
Mahdi Hasanlou Iran 24 711 0.6× 620 0.6× 568 0.9× 654 1.0× 694 1.4× 110 2.1k
Aaron E. Maxwell United States 26 1.4k 1.2× 706 0.7× 446 0.7× 955 1.5× 864 1.8× 74 3.4k
J.P. Rigol-Sánchez Spain 11 1.1k 1.0× 480 0.5× 431 0.7× 908 1.4× 820 1.7× 20 2.6k
Zhiwei Li China 22 845 0.7× 1.0k 1.0× 638 1.0× 749 1.2× 862 1.8× 78 3.1k
Mykola Lavreniuk Ukraine 20 1.6k 1.3× 783 0.8× 566 0.9× 946 1.5× 693 1.4× 69 3.0k
François Waldner Belgium 25 1.4k 1.2× 652 0.6× 403 0.6× 877 1.4× 722 1.5× 51 3.1k

Countries citing papers authored by Ajay Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Mathur. A scholar is included among the top collaborators of Ajay Mathur 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 Ajay Mathur. Ajay Mathur 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.
Mathur, Ajay, et al.. (2024). Jamming Efficacy Analysis of Chaff using AI/ML. 1–4.
2.
Sagar, Ambuj, Ajay Mathur, Fatih Birol, et al.. (2023). Mission Energy Access for a just and sustainable future for all. Nature Energy. 8(11). 1171–1173. 13 indexed citations
3.
4.
Malhotra, Abhishek, et al.. (2021). Building institutional capacity for addressing climate and sustainable development goals: achieving energy efficiency in India. Climate Policy. 22(5). 652–670. 28 indexed citations
5.
Mathur, Ajay. (2018). Public costs and private benefits: the governance of energy efficiency in India. Building Research & Information. 47(1). 123–126. 4 indexed citations
6.
Mathur, Ajay & Giles M. Foody. (2008). Crop classification by support vector machine with intelligently selected training data for an operational application. International Journal of Remote Sensing. 29(8). 2227–2240. 185 indexed citations
7.
Kothari, Surendra, et al.. (2008). Design theory and performance analysis of paraboloidal solar cooker. Applied Solar Energy. 44(2). 103–112. 7 indexed citations
8.
Mathur, Ajay, et al.. (2007). Design, development and testing of paraboloidal solar cooker.. Journal of Farm Sciences. 20(3). 571–574. 5 indexed citations
9.
Mathur, Ajay, A. P. Chikkatur, & Ambuj Sagar. (2007). Past as prologue: an innovation-diffusion approach to additionality. Climate Policy. 7(3). 230–239. 6 indexed citations
10.
Atkinson, Peter M., Giles M. Foody, Peter W. Gething, Ajay Mathur, & Colleen K. Kelly. (2007). Investigating spatial structure in specific tree species in ancient semi-natural woodland using remote sensing and marked point pattern analysis. Ecography. 30(1). 88–104. 1 indexed citations
11.
Atkinson, Peter M., Giles M. Foody, Peter W. Gething, Ajay Mathur, & Colleen K. Kelly. (2007). Investigating spatial structure in specific tree species in ancient semi‐natural woodland using remote sensing and marked point pattern analysis. Ecography. 30(1). 88–104. 21 indexed citations
12.
Foody, Giles M. & Ajay Mathur. (2006). The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM. Remote Sensing of Environment. 103(2). 179–189. 338 indexed citations
13.
Foody, Giles M., Ajay Mathur, Carolina Sanchez‐Hernandez, & Doreen S. Boyd. (2006). Training set size requirements for the classification of a specific class. Remote Sensing of Environment. 104(1). 1–14. 245 indexed citations
14.
Foody, Giles M. & Ajay Mathur. (2004). Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. Remote Sensing of Environment. 93(1-2). 107–117. 493 indexed citations
15.
Foody, Giles M. & Ajay Mathur. (2004). A relative evaluation of multiclass image classification by support vector machines. IEEE Transactions on Geoscience and Remote Sensing. 42(6). 1335–1343. 794 indexed citations breakdown →
16.
Mathur, Ajay & Giles M. Foody. (2004). Land cover classification by support vector machine: towards efficient training. ePrints Soton (University of Southampton). 2. 742–744. 8 indexed citations
17.
Mathur, Ajay, et al.. (1999). Demonstration of coal gas run molten carbonate fuel cell concept. International Journal of Energy Research. 23(13). 1177–1185. 4 indexed citations
18.
Mathur, Ajay, P. K. Litoria, Priya Sharma, & Manik H. Kalubarme. (1998). Database management and analysis for CAPE project using remote sensing and GIS. Journal of the Indian Society of Remote Sensing. 26(4). 209–214. 2 indexed citations
19.
Litoria, P. K., et al.. (1997). Site suitability evaluation for locating sewage treatment plants using remote sensing and gis — a case study of phillaur and phagwara townships in punjab. Journal of the Indian Society of Remote Sensing. 25(4). 261–272. 1 indexed citations
20.
Grubb, Michael, et al.. (1991). Energy policies and the greenhouse effect. Energy Policy. 19(10). 911–917. 64 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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