Rames C. Panda

2.2k citations
29 papers · 1.7k indexed · 1 hit paper · h-index 11
Topics
Advanced Control Systems Optimization (5 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)Adsorption and biosorption for pollutant removal (4 papers)
Partner nations
IndiaAustraliaEthiopia

In The Last Decade

Rames C. Panda

26 papers receiving 1.6k citations

Hit Papers

A review on heavy metal pollution, toxicity and remedial ...201920262021202320192505007501000

Peers

Rames C. Panda
Comparison fields: 5 of 131
  • Water Science and Technology 579
  • Pollution 380
  • Health, Toxicology and Mutagenesis 255
  • Biomedical Engineering 255
  • Materials Chemistry 221
Replace Abdull Rahim Mohd Yusoff with:
Abdull Rahim Mohd Yusoff Malaysia
Kilaru Harsha Vardhan India
Salmiati Salmiati Malaysia
Kuppusamy Sathishkumar India
G. Janet Joshiba India
Mahipal Singh Sankhla India
Makshoof Athar Pakistan
Swati Sharma India
Farshid Ghorbani Iran
Ghadir A. El-Chaghaby Egypt
Rames C. Panda relative to Abdull Rahim Mohd Yusoff Malaysia Abdull Rahim Mohd Yusoff's profile →
Citations per field
00.5×
Abdull Rahim Mohd Yusoff · 1×
Citations per year

Countries citing papers authored by Rames C. Panda

Since Specialization
Citations

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

Fields of papers citing papers by Rames C. Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rames C. Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Rames C. Panda. A scholar is included among the top collaborators of Rames C. 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 Rames C. Panda. Rames C. Panda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 6
4 2
5 3
6 0
7 4
8 3
9 0
10 16
11 5
12 6
13 6
14 15
15 8
16 12
17 10
18 3
19 21
20 8

About Rames C. Panda

Rames C. Panda is a scholar working on Water Science and Technology, Process Chemistry and Technology and Control and Systems Engineering, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Adsorption and biosorption for pollutant removal (4 papers). The work is most often cited by research in Water Science and Technology (579 citations), Pollution (380 citations) and Industrial and Manufacturing Engineering (215 citations). Rames C. Panda has collaborated with scholars based in India, Australia and Ethiopia. Frequent co-authors include Kilaru Harsha Vardhan, P. Senthil Kumar, J. Kanagaraj, T. Senthilvelan, Asit Baran Mandal, O. Aniel Kumar, V. Sumathi, V. Sivakumar, Balaraman Madhan and A. Saravanan. Their work appears in journals such as Journal of Cleaner Production, Industrial & Engineering Chemistry Research and RSC Advances.

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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