Jhumki Hait

32 total papers · 1.0k total citations
18 papers, 831 citations indexed

About

Jhumki Hait is a scholar working on Mechanical Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jhumki Hait has authored 18 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 10 papers in Biomedical Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jhumki Hait's work include Metal Extraction and Bioleaching (10 papers), Extraction and Separation Processes (9 papers) and Recycling and Waste Management Techniques (4 papers). Jhumki Hait is often cited by papers focused on Metal Extraction and Bioleaching (10 papers), Extraction and Separation Processes (9 papers) and Recycling and Waste Management Techniques (4 papers). Jhumki Hait collaborates with scholars based in India and South Korea. Jhumki Hait's co-authors include Vinay Kumar, Rajkumar Jana, Manis Kumar Jha, Anjan Kumari, B D Pandey, Sourav Sanyal, Noor Aman, Trilochan Mishra, Navneet Singh Randhawa and Rekha Panda and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Colloid and Interface Science and Industrial & Engineering Chemistry Research.

In The Last Decade

Jhumki Hait

18 papers receiving 812 citations

Hit Papers

Recovery of lithium and c... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jhumki Hait 648 394 309 268 102 18 831
Kaiying Wang 509 0.8× 188 0.5× 339 1.1× 148 0.6× 156 1.5× 27 744
Archana Kumari 649 1.0× 483 1.2× 276 0.9× 214 0.8× 250 2.5× 36 980
Yuhu Li 542 0.8× 216 0.5× 155 0.5× 361 1.3× 117 1.1× 35 810
Mohammad Assefi 527 0.8× 377 1.0× 378 1.2× 141 0.5× 96 0.9× 20 800
D. Majuste 611 0.9× 395 1.0× 392 1.3× 253 0.9× 67 0.7× 31 787
Pillai Abhilash 770 1.2× 376 1.0× 302 1.0× 296 1.1× 67 0.7× 23 982
Qingming Song 575 0.9× 468 1.2× 238 0.8× 185 0.7× 69 0.7× 41 935
Wencui Chai 430 0.7× 192 0.5× 242 0.8× 180 0.7× 79 0.8× 28 722
Xuehua Shen 425 0.7× 148 0.4× 140 0.5× 257 1.0× 228 2.2× 44 794
Cristian Tunsu 684 1.1× 419 1.1× 185 0.6× 170 0.6× 71 0.7× 17 887

Countries citing papers authored by Jhumki Hait

Since Specialization
Citations

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

Fields of papers citing papers by Jhumki Hait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jhumki Hait

This figure shows the co-authorship network connecting the top 25 collaborators of Jhumki Hait. A scholar is included among the top collaborators of Jhumki Hait 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 Jhumki Hait. Jhumki Hait 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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