Tithi Mehrotra
- Pollution top 10%
- Water Science and Technology top 10%
- Biomedical Engineering
- Health, Toxicology and Mutagenesis top 10%
- Plant Science
- Co-authors
- Rachana SinghSrijan AggarwalAditi BanerjeeSubhabrata DevAbhijit ChatterjeeSurbhi SinhaAnuradha ShuklaNaveen Kumar
- Topics
- Membrane Separation Technologies (3 papers)Wastewater Treatment and Nitrogen Removal (2 papers)Graphene and Nanomaterials Applications (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnalytical ChemistryEnvironmental Science and Pollution Research
- Partner nations
- IndiaUnited Arab EmiratesUnited States
In The Last Decade
Tithi Mehrotra
11 papers receiving 423 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Pollution 132
- Water Science and Technology 114
- Biomedical Engineering 104
- Health, Toxicology and Mutagenesis 81
- Plant Science 64
Countries citing papers authored by Tithi Mehrotra
This map shows the geographic impact of Tithi Mehrotra'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 Tithi Mehrotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tithi Mehrotra more than expected).
Fields of papers citing papers by Tithi Mehrotra
This network shows the impact of papers produced by Tithi Mehrotra. 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 Tithi Mehrotra. The network helps show where Tithi Mehrotra may publish in the future.
Co-authorship network of co-authors of Tithi Mehrotra
This figure shows the co-authorship network connecting the top 25 collaborators of Tithi Mehrotra. A scholar is included among the top collaborators of Tithi Mehrotra 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 Tithi Mehrotra. Tithi Mehrotra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Use of immobilized bacteria for environmental bioremediation: A reviewbreakdown → | 191 |
| 3 | 15 | |
| 4 | 51 | |
| 5 | 21 | |
| 6 | 14 | |
| 7 | 72 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 4 |
About Tithi Mehrotra
Tithi Mehrotra is a scholar working on Water Science and Technology, Pollution and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include Membrane Separation Technologies (3 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Pollution (132 citations), Water Science and Technology (114 citations) and Health, Toxicology and Mutagenesis (81 citations). Tithi Mehrotra has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include Rachana Singh, Srijan Aggarwal, Aditi Banerjee, Subhabrata Dev, Abhijit Chatterjee, Surbhi Sinha, Anuradha Shukla, Naveen Kumar, Simran Tandon and Indu Shekhar Thakur. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Environmental Science and Pollution Research.
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.