T. Poornima Devi

14 total papers · 633 total citations
7 papers, 467 citations indexed

About

T. Poornima Devi is a scholar working on Biomedical Engineering, Molecular Biology and Pollution. According to data from OpenAlex, T. Poornima Devi has authored 7 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Pollution. Recurrent topics in T. Poornima Devi's work include Biofuel production and bioconversion (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Anaerobic Digestion and Biogas Production (2 papers). T. Poornima Devi is often cited by papers focused on Biofuel production and bioconversion (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Anaerobic Digestion and Biogas Production (2 papers). T. Poornima Devi collaborates with scholars based in India, Uganda and Norway. T. Poornima Devi's co-authors include J. Rajesh Banu, S. Kavitha, Gopalakrishnan Kumar, R. Yukesh Kannah, Sang–Hyoun Kim, M. Gunasekaran, P. Sivashanmugam, J. Merrylin, S. Kaliappan and S. Adish Kumar and has published in prestigious journals such as Water Research, Bioresource Technology and Bioresource Technology Reports.

In The Last Decade

T. Poornima Devi

6 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
T. Poornima Devi 266 105 93 69 67 7 467
Nattha Pensupa 177 0.7× 71 0.7× 88 0.9× 83 1.2× 73 1.1× 11 525
Mandeep 144 0.5× 41 0.4× 53 0.6× 31 0.4× 54 0.8× 12 483
JN Nwakaire 227 0.9× 53 0.5× 41 0.4× 40 0.6× 58 0.9× 16 537
Kristiadi Uisan 118 0.4× 74 0.7× 83 0.9× 79 1.1× 96 1.4× 8 448
Adane Haile 128 0.5× 107 1.0× 196 2.1× 36 0.5× 40 0.6× 18 493
Yongxia Huang 139 0.5× 80 0.8× 53 0.6× 67 1.0× 73 1.1× 9 490
Carmen Fernández‐Costas 246 0.9× 43 0.4× 42 0.5× 46 0.7× 50 0.7× 10 407
Ranjan Singh 126 0.5× 43 0.4× 39 0.4× 63 0.9× 57 0.9× 12 474
Kin Yan Lau 252 0.9× 67 0.6× 61 0.7× 55 0.8× 34 0.5× 7 508
Maisyn Picard 120 0.5× 36 0.3× 180 1.9× 35 0.5× 99 1.5× 9 490

Countries citing papers authored by T. Poornima Devi

Since Specialization
Citations

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

Fields of papers citing papers by T. Poornima Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Poornima Devi

This figure shows the co-authorship network connecting the top 25 collaborators of T. Poornima Devi. A scholar is included among the top collaborators of T. Poornima Devi 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. Poornima Devi. T. Poornima Devi 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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