Debabrata Panda

13 total papers · 766 total citations
10 papers, 608 citations indexed

About

Debabrata Panda is a scholar working on Materials Chemistry, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Debabrata Panda has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Water Science and Technology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Debabrata Panda's work include Ultrasound and Cavitation Phenomena (7 papers), Advanced oxidation water treatment (4 papers) and Environmental remediation with nanomaterials (3 papers). Debabrata Panda is often cited by papers focused on Ultrasound and Cavitation Phenomena (7 papers), Advanced oxidation water treatment (4 papers) and Environmental remediation with nanomaterials (3 papers). Debabrata Panda collaborates with scholars based in Malaysia, India and Brunei. Debabrata Panda's co-authors include Sivakumar Manickam, Virendra Kumar Saharan, Vasanthi Sethu, Bisnu Prasad Dash, Grzegorz Boczkaj, Stéfan Colombano, Anne Togola, Nicolas Devau, Julie Lions and Eric D. van Hullebusch and has published in prestigious journals such as Chemosphere, Separation and Purification Technology and Ultrasonics Sonochemistry.

In The Last Decade

Debabrata Panda

10 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Debabrata Panda	215	145	122	99	98	10	608
Thomas C. Yang	155 0.7×	87 0.6×	61 0.5×	146 1.5×	44 0.4×	17	698
Fatima Berrekhis	194 0.9×	271 1.9×	53 0.4×	95 1.0×	67 0.7×	24	681
Danping Li	165 0.8×	102 0.7×	135 1.1×	107 1.1×	46 0.5×	33	603
Yujuan Lü	125 0.6×	133 0.9×	54 0.4×	127 1.3×	197 2.0×	35	677
Canping Pan	130 0.6×	101 0.7×	123 1.0×	81 0.8×	132 1.3×	17	558
Marta López-García	163 0.8×	167 1.2×	86 0.7×	125 1.3×	27 0.3×	15	528
Maksymilian Plata-Gryl	96 0.4×	174 1.2×	94 0.8×	94 0.9×	44 0.4×	12	507
Zhiyong Zhang	87 0.4×	134 0.9×	120 1.0×	77 0.8×	100 1.0×	22	533
Ângela Cláudia Rodrigues	80 0.4×	263 1.8×	184 1.5×	78 0.8×	79 0.8×	23	607
Hadj Daoud Bouras	199 0.9×	195 1.3×	61 0.5×	106 1.1×	29 0.3×	13	502

Countries citing papers authored by Debabrata Panda

Since Specialization

Citations

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

Fields of papers citing papers by Debabrata Panda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debabrata Panda

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