Abhinav Mathur

1.3k citations
49 papers · 762 indexed · h-index 12

Abhinav Mathur

45 papers receiving 701 citations

Peers

Abhinav Mathur
Comparison fields: 5 of 130
  • Media Technology 64
  • Infectious Diseases 125
  • Computational Theory and Mathematics 99
  • Public Health, Environmental and Occupational Health 151
  • Environmental Engineering 57
Replace Mousumi Das with:
Mousumi Das India
Jaak Simm Belgium
Jayanta Kumar Ghosh India
Mikhail I. Bogachev Russia
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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-authorship network

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
#Work
1 20241
2 202310
3 20238
4 202131
5 202034
6 20181
7 20170
8 201621
9 20169
10
Internet of Things and its enhanced data security
20153
11 2012183
12 20117
13 201111
14 201016
15
IDENTIFICATION OF PERTINENT REGIONS IN SPECTRO-TEMPORAL MAPS FOR VEGETATIVE TARGET DETECTION
20081
16 200638
17 20054
18 19990
19
Migration-inhibition-test on leucocytes from patients of myocardial infarction.
19771
20
Clinico-virological study of an outbreak of dengue-like illness at Hardoi (U.P.).
19742

About Abhinav Mathur

Abhinav Mathur is a scholar working on Media Technology, Analytical Chemistry, Signal Processing, Instrumentation and Environmental Engineering, having authored 49 papers that have together received 762 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Remote-Sensing Image Classification (6 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and LiDAR Applications (4 papers), Remote Sensing and Land Use (4 papers), Viral Infections and Vectors (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Media Technology (64 citations), Infectious Diseases (125 citations), Computational Theory and Mathematics (99 citations), Public Health, Environmental and Occupational Health (151 citations) and Environmental Engineering (57 citations). Abhinav Mathur has collaborated with scholars based in United States, India and Italy. Frequent co-authors include L.M. Bruce, Tanya Singh, Shashank Shekhar, B. Jayaram, Goutam Mukherjee, John D. Byrd, U. C. Chaturvedi, T. Strouboulis, Ivo Babuška and C.S. Upadhyay. Their work appears in journals such as Genetics in Medicine, Journal of Molecular Modeling, Optics Express, JAMA Network Open 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.

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