Dolly Kumari

24 total papers · 1.0k total citations
13 papers, 661 citations indexed

About

Dolly Kumari is a scholar working on Biomedical Engineering, Building and Construction and Molecular Biology. According to data from OpenAlex, Dolly Kumari has authored 13 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Building and Construction and 5 papers in Molecular Biology. Recurrent topics in Dolly Kumari's work include Biofuel production and bioconversion (8 papers), Anaerobic Digestion and Biogas Production (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Dolly Kumari is often cited by papers focused on Biofuel production and bioconversion (8 papers), Anaerobic Digestion and Biogas Production (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Dolly Kumari collaborates with scholars based in India. Dolly Kumari's co-authors include Radhika Singh, Ravi Kant Bhatia, Arvind Kumar Bhatt, Pradeep Kumar, Ranju Kumari Rathour, Nitish Sharma, Neelam Kaushik, Rama Raju Baadhe, Abhishek Walia and S. K. Varshney and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Renewable Energy.

In The Last Decade

Dolly Kumari

13 papers receiving 645 citations

Hit Papers

Pretreatment of lignocell... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Dolly Kumari 530 220 134 93 53 13 661
Angela Orozco 564 1.1× 230 1.0× 130 1.0× 114 1.2× 48 0.9× 15 717
Fabrizio Sibilla 425 0.8× 244 1.1× 99 0.7× 99 1.1× 40 0.8× 10 690
Radhika Singh 568 1.1× 235 1.1× 191 1.4× 107 1.2× 51 1.0× 15 747
Rodolfo Travaini 521 1.0× 237 1.1× 201 1.5× 63 0.7× 59 1.1× 11 630
Lalitha Devi Gottumukkala 418 0.8× 250 1.1× 109 0.8× 46 0.5× 67 1.3× 20 622
Harifara Rabemanolontsoa 493 0.9× 198 0.9× 66 0.5× 113 1.2× 55 1.0× 17 634
Mohammad Pourbafrani 428 0.8× 259 1.2× 146 1.1× 64 0.7× 67 1.3× 10 751
Chaitanya Reddy Chilakamarry 304 0.6× 240 1.1× 139 1.0× 115 1.2× 110 2.1× 13 724
R. Bakker 464 0.9× 206 0.9× 57 0.4× 123 1.3× 69 1.3× 12 633
Aleta Duque 570 1.1× 274 1.2× 66 0.5× 150 1.6× 77 1.5× 19 711

Countries citing papers authored by Dolly Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Dolly Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolly Kumari

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