Aneesh Mathew

2.8k citations
68 papers · 2.0k · h-index 25

Impact in

Papers in

Aneesh Mathew

64 papers receiving 2.0k citations

Peers

Aneesh Mathew
Comparison fields: 5 of 96
  • Environmental Engineering 1.6k
  • Health, Toxicology and Mutagenesis 798
  • Global and Planetary Change 899
  • Speech and Hearing 185
  • Atmospheric Science 423
Replace Peter M. Bach with:
Peter M. Bach Australia
Weiwen Wang China
Mohd Waseem Naikoo India
Virginia Stovin United Kingdom
Yanfang Liu China
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Ansar Khan India
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Aneesh Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aneesh Mathew, 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 Aneesh Mathew Line = papers co-authored together Aneesh Mathew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 2017170
3 2017145
4 2017125
5 2018106
6 202380
7 201976
8 202369
9 201663
10 202259
11 202049
12 202247
13 201845
14 202344
15 202238
16 202338
17 202238
18 202237
19 201834
20 202234

About Aneesh Mathew

Aneesh Mathew is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (24 papers), Urban Green Space and Health (20 papers), Hydrology and Watershed Management Studies (20 papers), Groundwater and Watershed Analysis (17 papers), Flood Risk Assessment and Management (15 papers), Air Quality and Health Impacts (12 papers), Air Quality Monitoring and Forecasting (12 papers) and Remote Sensing and Land Use (8 papers). The work is most often cited by research in Environmental Engineering (1.6k citations), Health, Toxicology and Mutagenesis (798 citations), Global and Planetary Change (899 citations), Speech and Hearing (185 citations) and Atmospheric Science (423 citations). Aneesh Mathew has collaborated with scholars based in India, Saudi Arabia and Estonia. Frequent co-authors include Sumit Khandelwal, Nivedita Kaul, Padala Raja Shekar, P. Sarwesh, Neha Gupta, Rohit Goyal, Sreenu Sreekumar, Abhilash T. Nair, Rajesh Kumar and Avadhoot Bhosale. Their work appears in journals such as Sustainable Cities and Society, Remote Sensing Applications Society and Environment, Energy and Buildings, Ecological Informatics and Environmental Monitoring and Assessment.

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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