Baisakhi Das

44 total papers · 519 total citations
17 papers, 430 citations indexed

About

Baisakhi Das is a scholar working on Geophysics, Hardware and Architecture and Mechanical Engineering. According to data from OpenAlex, Baisakhi Das has authored 17 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geophysics, 5 papers in Hardware and Architecture and 5 papers in Mechanical Engineering. Recurrent topics in Baisakhi Das's work include Seismic Imaging and Inversion Techniques (5 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). Baisakhi Das is often cited by papers focused on Seismic Imaging and Inversion Techniques (5 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). Baisakhi Das collaborates with scholars based in India and United States. Baisakhi Das's co-authors include Rima Chatterjee, G. Shanmugam, Kalachand Sain, Dip Kumar Singha, Biplab K. Sikdar, Sukanta Das, Mousumi Saha, Vijay Kumar and Jaya Shanker Tedla and has published in prestigious journals such as International Journal of Rock Mechanics and Mining Sciences, Journal of Sedimentary Research and Journal of Natural Gas Science and Engineering.

In The Last Decade

Baisakhi Das

15 papers receiving 417 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Baisakhi Das 240 229 215 164 80 17 430
K. J. Weber 223 0.9× 195 0.9× 166 0.8× 166 1.0× 109 1.4× 18 452
John Kaldi 181 0.8× 160 0.7× 170 0.8× 110 0.7× 50 0.6× 28 465
H. Scott Hamlin 351 1.5× 193 0.8× 97 0.5× 135 0.8× 52 0.7× 21 447
Xinbian Lu 263 1.1× 136 0.6× 184 0.9× 122 0.7× 70 0.9× 15 383
Stephen P. Cumella 309 1.3× 193 0.8× 124 0.6× 145 0.9× 43 0.5× 20 396
Morten Leth Hjuler 256 1.1× 169 0.7× 84 0.4× 193 1.2× 52 0.7× 20 423
John Dolson 284 1.2× 112 0.5× 134 0.6× 88 0.5× 120 1.5× 20 439
Cunfei Ma 308 1.3× 126 0.6× 75 0.3× 89 0.5× 74 0.9× 31 366
Michael L. Incze 205 0.9× 187 0.8× 279 1.3× 236 1.4× 42 0.5× 14 461
Niels Springer 164 0.7× 120 0.5× 132 0.6× 143 0.9× 22 0.3× 24 377

Countries citing papers authored by Baisakhi Das

Since Specialization
Citations

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

Fields of papers citing papers by Baisakhi Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baisakhi Das

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

All Works

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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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