Amit Kumar Gorai

77 papers receiving 1.6k citations

Peers

Amit Kumar Gorai
Comparison fields: 5 of 117
  • Environmental Engineering 664
  • Health, Toxicology and Mutagenesis 556
  • Geochemistry and Petrology 134
  • Global and Planetary Change 470
  • Atmospheric Science 199
Replace Kun Yang with:
Kun Yang China
Chow Ming Fai Malaysia
Aditya Kumar Patra India
Muhammad Tauhidur Rahman Saudi Arabia
Feipeng Li China
Feifeng Jiang Hong Kong
Parveen Sihag India
Aneesh Mathew India
Jun Tu China
Amit Kumar Gorai relative to Kun Yang China Kun Yang's profile →
Citations per field
00.5×3.9×
Kun Yang · 1×
Citations per year

Countries citing papers authored by Amit Kumar Gorai

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Gorai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Gorai. 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 Amit Kumar Gorai. The network helps show where Amit Kumar Gorai may publish in the future.

Co-authors

The 25 scholars most cited alongside Amit Kumar Gorai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Kumar Gorai Line = papers co-authored together Amit Kumar Gorai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 2020109
3 201592
4 201467
5 201865
6 201862
7 201459
8 201758
9 201449
10 201848
11 201440
12 201438
13 201838
14 202036
15 201833
16 202033
17 201732
18 202029
19 201528
20
AHP-GIS Based DRASTIC Model for Groundwater Vulnerability to Pollution Assessment: A Case Study of Hazaribag District, Jharkhand, India
201327

About Amit Kumar Gorai

Amit Kumar Gorai is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Global and Planetary Change, Ecology and Atmospheric Science, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (21 papers), Air Quality Monitoring and Forecasting (17 papers), Remote Sensing in Agriculture (11 papers), Atmospheric chemistry and aerosols (10 papers), Noise Effects and Management (9 papers), Multi-Criteria Decision Making (9 papers), Geochemistry and Geologic Mapping (8 papers) and Mining Techniques and Economics (8 papers). The work is most often cited by research in Environmental Engineering (664 citations), Health, Toxicology and Mutagenesis (556 citations), Geochemistry and Petrology (134 citations), Global and Planetary Change (470 citations) and Atmospheric Science (199 citations). Amit Kumar Gorai has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Paul B. Tchounwou, Avinash Kumar Ranjan, Francis Tuluri, Pramila Goyal, Aditya Kumar Patra, Ashok Kumar Patel, Snehamoy Chatterjee, Jawed Iqbal, Gopal Pathak and Ajay Kumar. Their work appears in journals such as Environment Development and Sustainability, Environmental Monitoring and Assessment, International Journal of Mining and Mineral Engineering, Aerosol and Air Quality Research and Journal of Sustainable Mining.

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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