A. K. Saraf

3.7k total citations
81 papers, 2.8k citations indexed

About

A. K. Saraf is a scholar working on Atmospheric Science, Geophysics and Global and Planetary Change. According to data from OpenAlex, A. K. Saraf has authored 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 21 papers in Geophysics and 21 papers in Global and Planetary Change. Recurrent topics in A. K. Saraf's work include Earthquake Detection and Analysis (18 papers), Cryospheric studies and observations (16 papers) and earthquake and tectonic studies (15 papers). A. K. Saraf is often cited by papers focused on Earthquake Detection and Analysis (18 papers), Cryospheric studies and observations (16 papers) and earthquake and tectonic studies (15 papers). A. K. Saraf collaborates with scholars based in India, United Kingdom and United States. A. K. Saraf's co-authors include Sanjay K. Jain, Ajanta Goswami, Swapnamita Choudhury, Josodhir Das, Riyaz Ahmad Mir, Anupma Prakash, Santosh K. Panda, Chong Xu, Xiwei Xu and Fuchu Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and International Journal of Remote Sensing.

In The Last Decade

A. K. Saraf

77 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. K. Saraf India 31 1.0k 900 813 677 607 81 2.8k
Hyung-Sup Jung South Korea 29 993 1.0× 853 0.9× 913 1.1× 375 0.6× 418 0.7× 160 3.3k
Joong‐Sun Won South Korea 30 1.2k 1.1× 660 0.7× 994 1.2× 156 0.2× 235 0.4× 148 3.7k
Hyun‐Joo Oh South Korea 23 1.6k 1.5× 879 1.0× 388 0.5× 448 0.7× 63 0.1× 42 2.7k
Nicola Pergola Italy 30 1.0k 1.0× 483 0.5× 842 1.0× 193 0.3× 1.5k 2.5× 178 3.4k
Hyongki Lee United States 33 1.7k 1.6× 717 0.8× 747 0.9× 1.2k 1.7× 127 0.2× 105 3.2k
Hermann Kaufmann Germany 29 635 0.6× 753 0.8× 531 0.7× 272 0.4× 74 0.1× 114 2.6k
Teodosio Lacava Italy 23 612 0.6× 802 0.9× 839 1.0× 346 0.5× 351 0.6× 92 1.9k
Valerio Tramutoli Italy 31 1.0k 1.0× 518 0.6× 819 1.0× 222 0.3× 1.7k 2.8× 183 3.6k
Enrique Cabral‐Cano Mexico 25 276 0.3× 635 0.7× 681 0.8× 74 0.1× 1.1k 1.7× 92 3.1k
Luigi J. Renzullo Australia 30 1.4k 1.3× 1.2k 1.4× 980 1.2× 804 1.2× 80 0.1× 87 2.8k

Countries citing papers authored by A. K. Saraf

Since Specialization
Citations

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

Fields of papers citing papers by A. K. Saraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. K. Saraf. 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 A. K. Saraf. The network helps show where A. K. Saraf may publish in the future.

Co-authorship network of co-authors of A. K. Saraf

This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Saraf. A scholar is included among the top collaborators of A. K. Saraf 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 A. K. Saraf. A. K. Saraf 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.
Mishra, Sanjay, et al.. (2025). Efficacy & safety of brolucizumab 6.0 mg versus 3.6 mg in diabetic macular edema. International Journal of Retina and Vitreous. 11(1). 6–6.
2.
Saraf, A. K., et al.. (2023). Geoinformatics Perspective of Landslide and Catastrophic Flash Floods in Dhauliganga, Uttarakhand, India. SHILAP Revista de lepidopterología. 3(1). A609–A609. 2 indexed citations
3.
Pati, Pitambar, Aditya Verma, Vijay Sharma, et al.. (2018). Influence of neotectonism on geomorphology and depositional architecture of the Gandak megafan, middle Ganga plain, India. Geomorphology. 327. 489–503. 20 indexed citations
4.
Sharma, Kanika, et al.. (2017). Mapping and Change Detection Study of Nepal-2015 Earthquake Induced Landslides. Journal of the Indian Society of Remote Sensing. 46(4). 605–615. 16 indexed citations
5.
Sharma, Kanika, et al.. (2016). Thermal anomaly from NOAA data for the Nepal earthquake. Current Science. 110(2). 150–153. 3 indexed citations
6.
Das, Josodhir, et al.. (2016). Comparison of Cartosat, ASTER and SRTM DEMs of different terrains. 16(1). 15 indexed citations
7.
Das, Josodhir, et al.. (2016). Morphodynamic Changes of Lohit River, NE India:GIS-Based Study. Current Science. 110(9). 1810–1816. 11 indexed citations
8.
Pati, Jayanta Kumar, et al.. (2014). Physical characterization, magnetic measurements, REE geochemistry and biomonitoring of dust load accumulated during a protracted winter fog period and their implications. Environmental Monitoring and Assessment. 186(5). 2965–2978. 7 indexed citations
9.
Saraf, A. K. & Swapnamita Choudhury. (2014). Thermal Remote Sensing Technique in the Study of Pre- Earthquake Thermal Anomalies. 20 indexed citations
10.
Saraf, A. K., et al.. (2011). False topographic perception phenomena observed with the satellite images of Moon's surface. International Journal of Remote Sensing. 32(24). 9869–9877. 6 indexed citations
11.
Das, Jagadish, et al.. (2010). A remote sensing technique for identifying geometry and geomorphological features of the Indo-Burman frontal fold belt. International Journal of Remote Sensing. 31(16). 4481–4503. 8 indexed citations
12.
Saraf, A. K., et al.. (2010). Winter fog over the Indo-Gangetic Plains: mapping and modelling using remote sensing and GIS. Natural Hazards. 58(1). 199–220. 22 indexed citations
13.
Saraf, A. K., et al.. (2007). Does a Major Earthquake Precede a Thermal Anomaly. 3(3). 56015–56015. 3 indexed citations
14.
Das, Josodhir, A. K. Saraf, & Santosh K. Panda. (2007). Satellite data in a rapid analysis of Kashmir earthquake (October 2005) triggered landslide pattern and river water turbidity in and around the epicentral region. International Journal of Remote Sensing. 28(8). 1835–1842. 18 indexed citations
15.
Das, Josodhir, Tanushree Dutta, & A. K. Saraf. (2007). Remote sensing and GIS application in change detection of the Barak River channel, N.E. India. Journal of the Indian Society of Remote Sensing. 35(4). 301–312. 41 indexed citations
16.
Rees, Gwyn, M. D. Zaidman, Sunil R. Kansakar, et al.. (2002). Application of the regional flow estimation method in the Himalayan region. IAHS-AISH publication. 433–440. 6 indexed citations
17.
Saraf, A. K.. (2000). Cover: IRS-1C-PAN depicts Chamoli earthquake induced landslides in Garhwal Himalayas, India. International Journal of Remote Sensing. 21(12). 2345–2352. 22 indexed citations
18.
Gupta, Rajender, A. K. Saraf, & Ramesh Chander. (1998). Cover Discrimination of areas susceptible to earthquake-induced liquefaction from Landsat data. International Journal of Remote Sensing. 19(4). 569–572. 5 indexed citations
19.
Prakash, Anupma, Rajender Gupta, & A. K. Saraf. (1997). A Landsat TM based comparative study of surface and subsurface fires in the Jharia coalfield, India. International Journal of Remote Sensing. 18(11). 2463–2469. 80 indexed citations
20.
Gupta, Ravi, et al.. (1995). Remote Sensing Delineation of Zones Susceptible to Seismically Induced Liquefaction in the Ganga Plains. Journal of the Geological Society of India. 46(1). 75–82. 1 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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