Veeresh Gadag

2.0k citations
60 papers · 1.6k indexed · h-index 22
Topics
Stochastic processes and statistical mechanics (8 papers)Diet, Metabolism, and Disease (6 papers)Virology and Viral Diseases (5 papers)
Partner nations
CanadaIndiaUnited States

In The Last Decade

Veeresh Gadag

56 papers receiving 1.5k citations

Peers

Veeresh Gadag
Comparison fields: 5 of 140
  • Epidemiology 416
  • Molecular Biology 215
  • Biochemistry 210
  • Physiology 204
  • Statistics, Probability and Uncertainty 189
Replace Helge Erik Solberg with:
Helge Erik Solberg Norway
Alexander Leichtle Switzerland
D Spiegelhalter United Kingdom
Humberto Vidaillet United States
Alexander Thompson United Kingdom
Charles S. Eby United States
Jacobus Lubsen Netherlands
Qi Zhou China
Anil Jain United States
Jean‐Luc Reny Switzerland
Veeresh Gadag relative to Helge Erik Solberg Norway Helge Erik Solberg's profile →
Citations per field
00.5×4.4×
Helge Erik Solberg · 1×
Citations per year

Countries citing papers authored by Veeresh Gadag

Since Specialization
Citations

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

Fields of papers citing papers by Veeresh Gadag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veeresh Gadag

This figure shows the co-authorship network connecting the top 25 collaborators of Veeresh Gadag. A scholar is included among the top collaborators of Veeresh Gadag 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 Veeresh Gadag. Veeresh Gadag 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 3
2 8
3 13
4 12
5 46
6 21
7 9
8 14
9 14
10 7
11 3
12 73
13 35
14 41
15 42
16 35
17 93
18 98
19 15
20 3

About Veeresh Gadag

Veeresh Gadag is a scholar working on Chemical Health and Safety, Statistics and Probability and Geriatrics and Gerontology, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (8 papers), Diet, Metabolism, and Disease (6 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Biochemistry (210 citations), Statistics, Probability and Uncertainty (189 citations) and Geriatrics and Gerontology (86 citations). Veeresh Gadag has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Sudesh Vasdev, L. Longerich, Carol A. Ford, Uditha Balasooriya, Guang Sun, Glynn Martin, Vicki Gill, Robert West, Samuel Ratnam and Sam Ratnam. Their work appears in journals such as Neurology, Technometrics and Diabetes.

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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