G Sibi

66 total papers · 1.0k total citations
57 papers, 760 citations indexed

About

G Sibi is a scholar working on Renewable Energy, Sustainability and the Environment, Plant Science and Food Science. According to data from OpenAlex, G Sibi has authored 57 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Renewable Energy, Sustainability and the Environment, 15 papers in Plant Science and 12 papers in Food Science. Recurrent topics in G Sibi's work include Algal biology and biofuel production (18 papers), Essential Oils and Antimicrobial Activity (11 papers) and Natural Antidiabetic Agents Studies (6 papers). G Sibi is often cited by papers focused on Algal biology and biofuel production (18 papers), Essential Oils and Antimicrobial Activity (11 papers) and Natural Antidiabetic Agents Studies (6 papers). G Sibi collaborates with scholars based in India. G Sibi's co-authors include Saurabh Awasthi, S. K. Jalali, Saroj Yadav, Sameer Sharma, Abhilasha Shukla, Monika Bajpai, Sneha Singh, Srinivasan Madhusudan, P.T. Saravanakumar and Shoaib Hamid and has published in prestigious journals such as Journal of the Energy Institute, Green Energy & Environment and Asian Pacific Journal of Tropical Medicine.

In The Last Decade

G Sibi

55 papers receiving 706 citations

Author Peers

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

Author Last Decade Papers Cites
G Sibi 319 152 139 91 72 57 760
Gi-Seok Kwon 184 0.6× 167 1.1× 237 1.7× 109 1.2× 98 1.4× 60 897
Kalaivani Thiagarajan 160 0.5× 204 1.3× 152 1.1× 41 0.5× 128 1.8× 43 782
Carolina Senés‐Guerrero 151 0.5× 279 1.8× 175 1.3× 82 0.9× 45 0.6× 47 875
Cátia A. Sousa 139 0.4× 157 1.0× 109 0.8× 90 1.0× 21 0.3× 31 716
P. Sampathkumar 326 1.0× 236 1.6× 63 0.5× 60 0.7× 76 1.1× 63 861
Nima Montazeri‐Najafabady 274 0.9× 53 0.3× 268 1.9× 115 1.3× 91 1.3× 50 764
Gehan A. Ismail 290 0.9× 149 1.0× 112 0.8× 172 1.9× 72 1.0× 44 893
Sanjay Kumar Verma 188 0.6× 149 1.0× 148 1.1× 102 1.1× 16 0.2× 70 758
Atef M. Abo-Shady 405 1.3× 139 0.9× 135 1.0× 178 2.0× 57 0.8× 36 751
Adriana Pacheco 121 0.4× 150 1.0× 138 1.0× 120 1.3× 69 1.0× 35 640

Countries citing papers authored by G Sibi

Since Specialization
Citations

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

Fields of papers citing papers by G Sibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Sibi

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