M. Vivek

5.6k total citations
30 papers, 282 citations indexed

About

M. Vivek is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Instrumentation. According to data from OpenAlex, M. Vivek has authored 30 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Instrumentation. Recurrent topics in M. Vivek's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysical Phenomena and Observations (13 papers) and Gamma-ray bursts and supernovae (7 papers). M. Vivek is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysical Phenomena and Observations (13 papers) and Gamma-ray bursts and supernovae (7 papers). M. Vivek collaborates with scholars based in India, United States and Germany. M. Vivek's co-authors include R. Srianand, N. Gupta, W. N. Brandt, Donald P. Schneider, P. Petitjean, Chelsea L. MacLeod, Emmanuel Momjian, A. Mahabal, Bin Luo and A. Georgakakis and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

M. Vivek

28 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Vivek India 12 231 60 40 19 17 30 282
Aurélien Jarno France 4 290 1.3× 28 0.5× 139 3.5× 35 1.8× 12 0.7× 23 332
Mateusz Matuszewski United States 10 228 1.0× 72 1.2× 92 2.3× 14 0.7× 5 0.3× 18 267
A. Ealet France 7 188 0.8× 72 1.2× 59 1.5× 19 1.0× 9 0.5× 26 215
P. Sanchéz-Sáez Chile 11 251 1.1× 50 0.8× 58 1.4× 12 0.6× 4 0.2× 36 299
Martin Eriksen Spain 11 205 0.9× 31 0.5× 83 2.1× 30 1.6× 16 0.9× 23 243
Hyunjin Shim South Korea 12 358 1.5× 43 0.7× 205 5.1× 20 1.1× 12 0.7× 45 397
Dezi Liu China 8 146 0.6× 20 0.3× 60 1.5× 25 1.3× 13 0.8× 17 172
P. S. Bessiere Spain 13 468 2.0× 101 1.7× 164 4.1× 8 0.4× 20 1.2× 18 488
Igor Andreoni United States 11 376 1.6× 119 2.0× 34 0.8× 16 0.8× 9 0.5× 50 418
Gianluca Li Causi Italy 8 184 0.8× 11 0.2× 50 1.3× 47 2.5× 5 0.3× 43 224

Countries citing papers authored by M. Vivek

Since Specialization
Citations

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

Fields of papers citing papers by M. Vivek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vivek

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vivek. A scholar is included among the top collaborators of M. Vivek 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 M. Vivek. M. Vivek 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.
Aird, James, W. N. Brandt, Paola Rodríguez Hidalgo, et al.. (2025). X-ray selected broad absorption line quasars in SDSS-V: BALs and non-BALs span the same range of X-ray properties. Monthly Notices of the Royal Astronomical Society. 542(3). 2105–2127. 1 indexed citations
2.
Vivek, M. & Dominika Wylezalek. (2025). Broad absorption line outflows are common in low Eddington ratio active galactic nuclei. Astronomy and Astrophysics. 695. L22–L22. 2 indexed citations
3.
Khaire, Vikram, et al.. (2024). FLAME: Fitting Lyαabsorption lines using machine learning. Astronomy and Astrophysics. 688. A126–A126.
4.
Vivek, M., et al.. (2023). AGN outflows and its variability. Proceedings of the International Astronomical Union. 19(S378). 16–21. 1 indexed citations
5.
Vivek, M., et al.. (2023). How does the presence of bar affects the fueling of supermassive black holes? An IllustrisTNG100 perspective. Monthly Notices of the Royal Astronomical Society. 527(2). 3366–3380. 10 indexed citations
6.
Vivek, M., et al.. (2023). A Meta Classifier Model for SMS Spam Detection using MultinomialNB - LinearSVC Algorithms. 13. 1–6. 2 indexed citations
7.
Vivek, M., et al.. (2021). Appearance versus disappearance of broad absorption line troughs in quasars. Monthly Notices of the Royal Astronomical Society. 504(3). 3187–3202. 9 indexed citations
8.
LaMassa, Stephanie, A. Georgakakis, M. Vivek, et al.. (2019). SDSS-IV eBOSS Spectroscopy of X-Ray and WISE AGNs in Stripe 82X: Overview of the Demographics of X-Ray- and Mid-infrared-selected Active Galactic Nuclei. The Astrophysical Journal. 876(1). 50–50. 29 indexed citations
9.
Vivek, M., et al.. (2019). Prediction of Diabetes Using Machine Learning Algorithm. SSRN Electronic Journal. 1 indexed citations
10.
Vivek, M., et al.. (2019). Two new molecular preprocessing schemes for machine learning and their evaluation using some DT algorithms. AIP conference proceedings. 2117. 20011–20011. 4 indexed citations
11.
Gupta, N., R. Srianand, J. S. Farnes, et al.. (2018). Revealing H i gas in emission and absorption on pc to kpc scales in a galaxy at z ∼ 0.017. Monthly Notices of the Royal Astronomical Society. 476(2). 2432–2445. 14 indexed citations
12.
Sameer, Sameer, W. N. Brandt, Scott F. Anderson, et al.. (2018). X-ray and multi-epoch optical/UV investigations of BAL to non-BAL quasar transformations. Monthly Notices of the Royal Astronomical Society. 482(1). 1121–1134. 8 indexed citations
13.
Brandt, W. N., C. J. Grier, N. Filiz Ak, et al.. (2017). Broad absorption line disappearance and emergence using multiple-epoch spectroscopy from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society. 469(3). 3163–3184. 24 indexed citations
14.
Vivek, M., et al.. (2017). Underwater turbidity removal through ill-posed optimization with sparse modeling. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). 1865–1869. 9 indexed citations
15.
Jensen, Trey W., M. Vivek, Kyle Dawson, et al.. (2016). SPECTRAL EVOLUTION IN HIGH REDSHIFT QUASARS FROM THE FINAL BARYON OSCILLATION SPECTROSCOPIC SURVEY SAMPLE. The Astrophysical Journal. 833(2). 199–199. 12 indexed citations
17.
Vivek, M., et al.. (2015). Imaging inverse problem using sparse representation with adaptive dictionary learning. 54. 1247–1251. 1 indexed citations
18.
Vivek, M., R. Srianand, & N. Gupta. (2015). Transient C iv broad absorption lines in radio-detected QSOs. Monthly Notices of the Royal Astronomical Society. 455(1). 136–149. 11 indexed citations
19.
Vivek, M., et al.. (2015). Automated cervical cancer detection using photonic crystal based bio-sensor. 1174–1178. 13 indexed citations
20.
Vivek, M., et al.. (2014). A Survey on Performance Analysis of Different Transforms in DWT for Image Compression. IOSR Journal of Electronics and Communication Engineering. 9(2). 1–5. 1 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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