T. J. Majumdar

1.2k total citations
60 papers, 1.0k citations indexed

About

T. J. Majumdar is a scholar working on Oceanography, Molecular Biology and Geophysics. According to data from OpenAlex, T. J. Majumdar has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oceanography, 19 papers in Molecular Biology and 18 papers in Geophysics. Recurrent topics in T. J. Majumdar's work include Geophysics and Gravity Measurements (24 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Geological and Geophysical Studies (15 papers). T. J. Majumdar is often cited by papers focused on Geophysics and Gravity Measurements (24 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Geological and Geophysical Studies (15 papers). T. J. Majumdar collaborates with scholars based in India, United Kingdom and Japan. T. J. Majumdar's co-authors include Amit Bhattacharya, Sanjit Kumar Pal, P. K. Srivastava, Satya Narayan, K. K. Mohanty, K. S. Krishna, Pankaj Kumar Srivastava, Pritam Nasipuri, K. M. Sreejith and A. S. Rajawat and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Tectonophysics.

In The Last Decade

T. J. Majumdar

58 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. J. Majumdar India 19 430 294 244 216 216 60 1.0k
Hiroji Tsu Japan 9 543 1.3× 493 1.7× 150 0.6× 76 0.4× 527 2.4× 32 1.5k
Ícaro Vitorello Brazil 21 820 1.9× 269 0.9× 76 0.3× 39 0.2× 440 2.0× 87 1.4k
Jun Nishijima Japan 17 376 0.9× 162 0.6× 132 0.5× 144 0.7× 136 0.6× 71 827
Chung-Pai Chang Taiwan 17 484 1.1× 135 0.5× 145 0.6× 61 0.3× 85 0.4× 35 983
Jong Kuk Hong South Korea 19 304 0.7× 295 1.0× 140 0.6× 72 0.3× 773 3.6× 60 1.4k
Prospero De Martino Italy 22 1.1k 2.7× 160 0.5× 70 0.3× 156 0.7× 246 1.1× 60 1.7k
Ziyin Wu China 19 109 0.3× 137 0.5× 189 0.8× 486 2.3× 69 0.3× 81 1.2k
Francisco José Fonseca Ferreira Brazil 15 617 1.4× 98 0.3× 131 0.5× 62 0.3× 282 1.3× 115 877
S. A. Drury United Kingdom 21 1.5k 3.5× 244 0.8× 116 0.5× 21 0.1× 737 3.4× 48 2.0k
Guillaume Martelet France 25 995 2.3× 241 0.8× 111 0.5× 48 0.2× 275 1.3× 64 1.4k

Countries citing papers authored by T. J. Majumdar

Since Specialization
Citations

This map shows the geographic impact of T. J. Majumdar'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 T. J. Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Majumdar more than expected).

Fields of papers citing papers by T. J. Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Majumdar. 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 T. J. Majumdar. The network helps show where T. J. Majumdar may publish in the future.

Co-authorship network of co-authors of T. J. Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Majumdar. A scholar is included among the top collaborators of T. J. Majumdar 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 T. J. Majumdar. T. J. Majumdar 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.
Majumdar, T. J.. (2019). Crustal Depth Estimation Over the Indian Lithospheric Plate using Satellite Geoid and a Gravimetric–Isostatic Model. Current Science. 117(3). 502–502. 2 indexed citations
2.
Majumdar, T. J., et al.. (2016). On extraction of linear and anomalous features over a part of the 85oE Ridge, Bay of Bengal for tectonic studies. 1 indexed citations
3.
Pal, Sanjit Kumar, et al.. (2016). Structural mapping over the 85°E Ridge and surroundings using EIGEN6C4 high-resolution global combined gravity field model: an integrated approach. Marine Geophysical Research. 37(3). 159–184. 51 indexed citations
4.
Majumdar, T. J., et al.. (2015). Satellite-derived geoid for the estimation of lithospheric cooling and basal heat flux anomalies over the northern Indian Ocean lithosphere. Journal of Earth System Science. 124(8). 1677–1691. 2 indexed citations
5.
Majumdar, T. J., et al.. (2014). High resolution satellite gravity over a part of the Sir Creek offshore on west northwest margin of the Indian subcontinent. 3 indexed citations
6.
Bhattacharya, S., et al.. (2012). Utilization of Hyperion data over Dongargarh, India, for mapping altered/weathered and clay minerals along with field spectral measurements. International Journal of Remote Sensing. 33(17). 5438–5450. 32 indexed citations
7.
Sreejith, K. M., T. J. Majumdar, G. Srinivasa Rao, et al.. (2012). High-resolution residual geoid and gravity anomaly data of the northern Indian Ocean – An input to geological understanding. Journal of Asian Earth Sciences. 62. 616–626. 32 indexed citations
8.
Majumdar, T. J., Sanjit Kumar Pal, & Amit Bhattacharya. (2012). Generation of Emissivity and Land Surface Temperature Maps Using MODIS TIR Data for Lithological Mapping over the Singhbhum-Orissa Craton. Journal of the Geological Society of India. 80(5). 685–699. 10 indexed citations
9.
10.
Majumdar, T. J., et al.. (2009). Utilization of high resolution satellite geoid data for estimation of lithospheric thickness in the Bay of Bengal. Indian Journal of Marine Sciences. 38(4). 1 indexed citations
11.
Verma, Pramod Kumar, et al.. (2009). High resolution satellite geoids/gravity over the western Indian offshore for tectonics and hydrocarbon exploration. 12 indexed citations
12.
Majumdar, T. J., et al.. (2009). Geoid height versus topography of the Northern Ninetyeast Ridge: implications on crustal compensation. Marine Geophysical Research. 30(4). 251–264. 10 indexed citations
13.
Pal, Sanjit Kumar, T. J. Majumdar, & Amit Bhattacharya. (2007). Usage of ERS SAR data over the Singhbhum Shear Zone, India for structural mapping and tectonic studies. Geocarto International. 22(4). 285–295. 20 indexed citations
14.
Majumdar, T. J., et al.. (2006). Study of high-resolution satellite geoid and gravity anomaly data over the Bay of Bengal. Current Science. 90(2). 211–219. 9 indexed citations
15.
Nasipuri, Pritam, et al.. (2006). Study of high-resolution thermal inertia over western India oil fields using ASTER data. Acta Astronautica. 58(5). 270–278. 17 indexed citations
16.
Majumdar, T. J., et al.. (2004). Thermal inertia mapping over the Brahmaputra basin, India using NOAA-AVHRR data and its possible geological applications. International Journal of Remote Sensing. 25(16). 3245–3260. 25 indexed citations
17.
Majumdar, T. J., K. K. Mohanty, D. C. Mishra, & Kusumita Arora. (2001). Gravity image generation over the Indian subcontinent using NGRI/EGM96 and ERS-1_altimeter data. 109(2). 169–76. 11 indexed citations
18.
Majumdar, T. J., K. K. Mohanty, & Ashok K. Srivastava. (1998). On the utilization of ERS-1 altimeter data for offshore oil exploration. International Journal of Remote Sensing. 19(10). 1953–1968. 22 indexed citations
19.
Majumdar, T. J., et al.. (1989). Photographs of the human face and broken projective symmetry. Journal of the Forensic Science Society. 29(6). 387–395. 11 indexed citations
20.
Rao, K. S., et al.. (1983). Model for atmospheric corrections to microwave brightness temperature data. Remote Sensing of Environment. 13(3). 209–232. 7 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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