Abhinav Mathur

1.3k total citations
49 papers, 762 citations indexed

About

Abhinav Mathur is a scholar working on Molecular Biology, Media Technology and Genetics. According to data from OpenAlex, Abhinav Mathur has authored 49 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Media Technology and 7 papers in Genetics. Recurrent topics in Abhinav Mathur's work include Genomics and Rare Diseases (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Remote-Sensing Image Classification (6 papers). Abhinav Mathur is often cited by papers focused on Genomics and Rare Diseases (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Remote-Sensing Image Classification (6 papers). Abhinav Mathur collaborates with scholars based in United States, India and Italy. Abhinav Mathur's co-authors include L.M. Bruce, Shashank Shekhar, B. Jayaram, Tanya Singh, Goutam Mukherjee, John D. Byrd, U. C. Chaturvedi, Ivo Babuška, C.S. Upadhyay and T. Strouboulis and has published in prestigious journals such as Blood, PLoS ONE and Optics Express.

In The Last Decade

Abhinav Mathur

45 papers receiving 701 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abhinav Mathur United States 12 166 151 125 99 67 49 762
Jayanta Kumar Ghosh India 16 59 0.4× 132 0.9× 48 0.4× 47 0.5× 49 0.7× 63 828
Serge Cohen France 15 505 3.0× 63 0.4× 62 0.5× 39 0.4× 35 0.5× 52 1.3k
Mousumi Das India 15 262 1.6× 157 1.0× 415 3.3× 29 0.3× 43 0.6× 49 1.2k
Lucia Russo Italy 18 161 1.0× 103 0.7× 67 0.5× 27 0.3× 24 0.4× 75 1.1k
Rodrigo Weber dos Santos Brazil 25 412 2.5× 94 0.6× 116 0.9× 68 0.7× 42 0.6× 156 2.3k
Wolfgang zu Castell Germany 14 400 2.4× 13 0.1× 59 0.5× 28 0.3× 63 0.9× 44 936
John O’Brien Ireland 22 571 3.4× 102 0.7× 15 0.1× 19 0.2× 57 0.9× 73 1.7k
Jaak Simm Belgium 20 697 4.2× 116 0.8× 94 0.8× 178 1.8× 52 0.8× 46 1.5k
Chun‐Yuan Lin Taiwan 16 302 1.8× 20 0.1× 106 0.8× 57 0.6× 37 0.6× 88 1.1k
Andreas Maurer Germany 25 323 1.9× 29 0.2× 22 0.2× 32 0.3× 72 1.1× 69 1.8k

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 of co-authors of Abhinav Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Mathur. A scholar is included among the top collaborators of Abhinav Mathur 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 Abhinav Mathur. Abhinav Mathur 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
1.
Guardalben, M. J., et al.. (2024). Prediction of laser beam spatial profiles in a high-energy laser facility by use of deep learning. Optics Express. 32(24). 42692–42692. 1 indexed citations
2.
Liu, Ruby, Yinghong Pan, Lora Jh Bean, et al.. (2023). Evidence from 2100 index cases supports genome sequencing as a first-tier genetic test. Genetics in Medicine. 26(1). 100995–100995. 10 indexed citations
3.
Balciuniene, Jorune, Ruby Liu, Lora Jh Bean, et al.. (2023). At-Risk Genomic Findings for Pediatric-Onset Disorders From Genome Sequencing vs Medically Actionable Gene Panel in Proactive Screening of Newborns and Children. JAMA Network Open. 6(7). e2326445–e2326445. 8 indexed citations
4.
Nallamilli, Babi Ramesh Reddy, C. Alexander Valencia, Zeqiang Ma, et al.. (2021). A single NGS‐based assay covering the entire genomic sequence of the DMD gene facilitates diagnostic and newborn screening confirmatory testing. Human Mutation. 42(5). 626–638. 31 indexed citations
5.
Shenoy, Suresh, Abhinav Mathur, Zeqiang Ma, et al.. (2020). Low-Pass Genome Sequencing. Journal of Molecular Diagnostics. 22(6). 823–840. 34 indexed citations
7.
Valencia, C. Alexander, Abhinav Mathur, Chao Wei, et al.. (2018). CCEPAS: the creation and validation of a fast and sensitive clinical whole exome analysis pipeline based on gene and variant ranking. 2. 1–1. 1 indexed citations
8.
Mathur, Abhinav, Vikas Saxena, & Sandeep Kumar Singh. (2017). Understanding sarcasm in speech using mel-frequency cepstral coefficent. 728–732.
9.
Palermo, Joseph J., Tom K. Lin, Lindsey Hornung, et al.. (2016). Genophenotypic Analysis of Pediatric Patients With Acute Recurrent and Chronic Pancreatitis. Pancreas. 45(9). 1347–1352. 21 indexed citations
10.
Valencia, C. Alexander, Xinjian Wang, Jin Wang, et al.. (2016). Deep Sequencing Reveals Novel Genetic Variants in Children with Acute Liver Failure and Tissue Evidence of Impaired Energy Metabolism. PLoS ONE. 11(8). e0156738–e0156738. 9 indexed citations
11.
Agarwal, Apoorv, et al.. (2015). Internet of Things and its enhanced data security. International Journal of Engineering and Applied Sciences (IJEAS). 2(2). 257986. 3 indexed citations
12.
Jayaram, B., et al.. (2012). Sanjeevini: a freely accessible web-server for target directed lead molecule discovery. BMC Bioinformatics. 13(S17). S7–S7. 183 indexed citations
13.
Mathur, Abhinav, N.A. Shankaracharya, & Ambarish S. Vidyarthi. (2011). SWIFT MODELLER: A JAVA based GUI for molecular modeling. Journal of Molecular Modeling. 17(10). 2601–2607. 11 indexed citations
14.
Mathur, Abhinav, N.A. Shankaracharya, & Ambarish S. Vidyarthi. (2011). SWIFT MODELLER v2.0: a platform-independent GUI for homology modeling. Journal of Molecular Modeling. 18(7). 3021–3023. 7 indexed citations
15.
Mathur, Abhinav, et al.. (2010). Utilizing circular scanning in the CZMIL system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 16 indexed citations
16.
Mathur, Abhinav, et al.. (2010). Predicted lidar ranging accuracy for CZMIL. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7695. 76950Z–76950Z. 3 indexed citations
17.
Mathur, Abhinav, et al.. (2008). IDENTIFICATION OF PERTINENT REGIONS IN SPECTRO-TEMPORAL MAPS FOR VEGETATIVE TARGET DETECTION. 1 indexed citations
18.
Bruce, L.M., Abhinav Mathur, & John D. Byrd. (2006). Denoising and Wavelet-Based Feature Extraction of MODIS Multi-Temporal Vegetation Signatures. GIScience & Remote Sensing. 43(1). 67–77. 38 indexed citations
19.
Sharma, Rakesh, et al.. (1977). Migration-inhibition-test on leucocytes from patients of myocardial infarction.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 20(4). 197–200. 1 indexed citations
20.
Mathur, Abhinav, et al.. (1974). Clinico-virological study of an outbreak of dengue-like illness at Hardoi (U.P.).. PubMed. 62(6). 827–30. 2 indexed citations

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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