Abhinav Mathur

47 papers receiving 743 citations

Peers

Abhinav Mathur
Comparison fields: 5 of 129
  • Media Technology 67
  • Computational Theory and Mathematics 106
  • Public Health, Environmental and Occupational Health 146
  • Infectious Diseases 94
  • Environmental Engineering 60
Replace Jaak Simm with:
Jaak Simm Belgium
Mousumi Das India
Andreas Maurer Germany
Can Chen China
Woojoo Lee South Korea
Wolfgang zu Castell Germany
Hanyu Li China
Ling Huang China
Michael J. Chappell United Kingdom
Fengqin Zhang China
Abhinav Mathur relative to Jaak Simm Belgium Jaak Simm's profile →
Citations per field
00.5×10×
Jaak Simm · 1×
Citations per year

Countries citing papers authored by Abhinav Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012197
2
A clinical study of the patients with dengue hemorrhagic fever during the epidemic of 1996 at Lucknow, India.
1999142
3 199464
4 200640
5 202035
6 201434
7 202132
8 200424
9 201622
10 201320
11 201016
12 200315
13 201611
14 201111
15 200511
16 202310
17 201010
18
Clinico-virological study of the recurrence of dengue epidemic with haemorrhagic manifestations at Kanpur during 1969.
197210
19 20239
20 20109

About Abhinav Mathur

Abhinav Mathur is a scholar working on Molecular Biology, Media Technology, Genetics, Analytical Chemistry and Ecology, having authored 52 papers that have together received 807 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (6 papers), Remote-Sensing Image Classification (6 papers), Genomics and Rare Diseases (6 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and Land Use (4 papers), Remote Sensing and LiDAR Applications (4 papers), Mosquito-borne diseases and control (4 papers) and Underwater Acoustics Research (3 papers). The work is most often cited by research in Media Technology (67 citations), Computational Theory and Mathematics (106 citations), Public Health, Environmental and Occupational Health (146 citations), Infectious Diseases (94 citations) and Environmental Engineering (60 citations). Abhinav Mathur has collaborated with scholars based in United States, India and Italy. Frequent co-authors include L.M. Bruce, Shashank Shekhar, B. Jayaram, Goutam Mukherjee, Tanya Singh, John D. Byrd, U. C. Chaturvedi, A Misra, Radhika Tandon and T. Strouboulis. Their work appears in journals such as Journal of Molecular Modeling, Genetics in Medicine, Blood, Pancreas and Molecular Genetics and Metabolism.

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.

Explore authors with similar magnitude of impact