I.V. May

929 citations
113 papers · 548 · h-index 10

Impact in

Papers in

I.V. May

91 papers receiving 425 citations

Peers

I.V. May
Comparison fields: 5 of 86
  • Pediatrics, Perinatology and Child Health 304
  • Health, Toxicology and Mutagenesis 187
  • Development 34
  • Epidemiology 219
  • Water Science and Technology 86
Replace Svetlana V. Kleyn with:
Svetlana V. Kleyn Russia
Ian Ross United Kingdom
Sadia Mariam Malik United States
Heather M. Strosnider United States
Alexandra V. Kulinkina United States
Ali Ahmed Bangladesh
Rachel Baum United States
Anna Schembari Spain
Paul G. Smith United States
Dirga Kumar Lamichhane South Korea
I.V. May relative to Svetlana V. Kleyn Russia Svetlana V. Kleyn's profile →
Citations per field
00.5×10×20×30×43×
Svetlana V. Kleyn · 1×
Citations per year

Countries citing papers authored by I.V. May

Since Specialization
Citations

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

Fields of papers citing papers by I.V. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.V. May. 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 I.V. May. The network helps show where I.V. May may publish in the future.

Co-authors

The 19 scholars most cited alongside I.V. May, 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 I.V. May Line = papers co-authored together I.V. May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 201626
3 202021
4 202217
5 201917
6 201817
7 201917
8 201812
9 202112
10 201411
11 20189
12 20229
13 20199
14 20219
15 20199
16 20138
17 20198
18 20198
19 20237
20 20167

About I.V. May

I.V. May is a scholar working on Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis, Epidemiology, Management, Monitoring, Policy and Law and Management of Technology and Innovation, having authored 113 papers that have together received 548 indexed citations. Recurring topics across this work include Human Health and Disease (61 papers), Healthcare Systems and Public Health (46 papers), Air Quality and Health Impacts (28 papers), Climate Change and Health Impacts (25 papers), Environmental Sustainability and Technology (11 papers), Technology and Human Factors in Education and Health (9 papers), Economic and Technological Systems Analysis (9 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (304 citations), Health, Toxicology and Mutagenesis (187 citations), Development (34 citations), Epidemiology (219 citations) and Water Science and Technology (86 citations). I.V. May has collaborated with scholars based in Russia, Belarus and Kazakhstan. Frequent co-authors include Nina Vladimirovna Zaitseva, Svetlana V. Kleyn, Dmitriy A. Kiryanov, Anna Yu. Popova, Ralf Ludwig, Wolfram Mauser, S. Biner, Marco Braun, Pavel Z. Shur and Richard Turcotte. Their work appears in journals such as Advances in geosciences, Hygiene and Sanitation, Ecology and Industry of Russia, Lecture notes in computer science and Health Risk Analysis.

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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