V. Sreeja

1.1k total citations
54 papers, 853 citations indexed

About

V. Sreeja is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Oceanography. According to data from OpenAlex, V. Sreeja has authored 54 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 38 papers in Aerospace Engineering and 21 papers in Oceanography. Recurrent topics in V. Sreeja's work include Ionosphere and magnetosphere dynamics (49 papers), GNSS positioning and interference (38 papers) and Geophysics and Gravity Measurements (21 papers). V. Sreeja is often cited by papers focused on Ionosphere and magnetosphere dynamics (49 papers), GNSS positioning and interference (38 papers) and Geophysics and Gravity Measurements (21 papers). V. Sreeja collaborates with scholars based in United Kingdom, India and Italy. V. Sreeja's co-authors include Márcio Aquino, Sudha Ravindran, Tarun Kumar Pant, C. V. Devasia, Haroldo Antonio Marques, R. Sridharan, João Francisco Galera Monico, Alison de Oliveira Moraes, Claudio Cesaroni and Luca Spogli and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Sensors and Remote Sensing.

In The Last Decade

V. Sreeja

53 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Sreeja United Kingdom 19 783 575 302 281 108 54 853
Biagio Forte United Kingdom 15 619 0.8× 651 1.1× 290 1.0× 201 0.7× 66 0.6× 46 808
Seebany Datta‐Barua United States 15 637 0.8× 608 1.1× 296 1.0× 197 0.7× 63 0.6× 73 786
T. L. Beach United States 13 677 0.9× 603 1.0× 240 0.8× 250 0.9× 79 0.7× 26 760
Àngela Aragón‐Ángel Spain 17 864 1.1× 723 1.3× 436 1.4× 386 1.4× 156 1.4× 42 1.0k
Raül Orús Pérez Netherlands 15 585 0.7× 520 0.9× 358 1.2× 181 0.6× 71 0.7× 52 699
C. Mayer Germany 13 552 0.7× 408 0.7× 195 0.6× 211 0.8× 80 0.7× 47 703
René Warnant Belgium 19 834 1.1× 659 1.1× 363 1.2× 389 1.4× 164 1.5× 82 999
Reza Ghoddousi‐Fard Canada 13 542 0.7× 518 0.9× 331 1.1× 226 0.8× 102 0.9× 26 684
Jens Berdermann Germany 16 690 0.9× 319 0.6× 168 0.6× 294 1.0× 118 1.1× 75 753
E. Sardón Spain 10 755 1.0× 598 1.0× 281 0.9× 378 1.3× 133 1.2× 28 875

Countries citing papers authored by V. Sreeja

Since Specialization
Citations

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

Fields of papers citing papers by V. Sreeja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Sreeja

This figure shows the co-authorship network connecting the top 25 collaborators of V. Sreeja. A scholar is included among the top collaborators of V. Sreeja 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 V. Sreeja. V. Sreeja 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.
Chick, Christina F., et al.. (2024). AI Powered Self Checkout System. 120–125.
2.
Hancock, Craig, et al.. (2022). Mitigating the Scintillation Effect on GNSS Signals Using MP and ROTI. Remote Sensing. 14(23). 6089–6089. 3 indexed citations
3.
Hancock, Craig, et al.. (2022). Distinguishing ionospheric scintillation from multipath in GNSS signals using geodetic receivers. GPS Solutions. 26(4). 4 indexed citations
4.
5.
Venkateswaran, N., et al.. (2020). Intrusion Detection System using KDD Cup 99 Dataset. International Journal of Innovative Technology and Exploring Engineering. 4(9). 3169–3171. 3 indexed citations
6.
Sreeja, V., Márcio Aquino, Haroldo Antonio Marques, & Alison de Oliveira Moraes. (2020). Mitigation of ionospheric scintillation effects on GNSS precise point positioning (PPP) at low latitudes. Journal of Geodesy. 94(2). 50 indexed citations
7.
Hancock, Craig, et al.. (2020). Analysis of the Relationship between Scintillation Parameters, Multipath and ROTI. Sensors. 20(10). 2877–2877. 15 indexed citations
8.
Aquino, Márcio, et al.. (2020). Effects of GNSS Receiver Tuning on the PLL Tracking Jitter Estimation in the Presence of Ionospheric Scintillation. Space Weather. 18(7). 5 indexed citations
9.
Franceschi, Giorgiana De, Claudio Cesaroni, Luca Spogli, et al.. (2019). The Ionosphere Prediction Service. Cineca Institutional Research Information System (Tor Vergata University). 42(1). 45. 2 indexed citations
10.
Aquino, Márcio, et al.. (2019). Tracking Jitter Maps - A New Product to Mitigate Ionospheric Scintillation Effects on GNSS Positioning. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
11.
Franceschi, Giorgiana De, Claudio Cesaroni, Luca Spogli, et al.. (2018). The Ionosphere Prediction Service Project. EGU General Assembly Conference Abstracts. 15908. 2 indexed citations
12.
Sreeja, V., Márcio Aquino, Luca Spogli, & Claudio Cesaroni. (2018). A statistical approach to estimate Global Navigation Satellite Systems (GNSS) receiver signal tracking performance in the presence of ionospheric scintillation. Journal of Space Weather and Space Climate. 8. A51–A51. 8 indexed citations
13.
Park, Jihye, V. Sreeja, Márcio Aquino, et al.. (2016). Performance of ionospheric maps in support of long baseline GNSS kinematic positioning at low latitudes. Radio Science. 51(5). 429–442. 13 indexed citations
14.
Lanzerotti, L. J., H. J. Singer, Robert W. Rutledge, et al.. (2013). Space Weather Quarterly Volume 10, Issue 2, 2013. 10(2). 1–32. 1 indexed citations
15.
Bougard, Bruno, Jean-Marie Sleewaegen, Luca Spogli, V. Sreeja, & João Francisco Galera Monico. (2011). CIGALA: Challenging the solar maximum in Brazil with PolaRxS. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 2572–2579. 18 indexed citations
16.
Sreeja, V., et al.. (2011). Westward electric field penetration to the dayside equatorial ionosphere during the main phase of the geomagnetic storm on 22 July 2009. Journal of Geophysical Research Atmospheres. 116(A3). 12 indexed citations
17.
Manju, G., V. Sreeja, Sudha Ravindran, & Smitha V. Thampi. (2011). Toward prediction of L band scintillations in the equatorial ionization anomaly region. Journal of Geophysical Research Atmospheres. 116(A2). n/a–n/a. 17 indexed citations
18.
Sreeja, V., C. V. Devasia, Sudha Ravindran, Tarun Kumar Pant, & R. Sridharan. (2009). Response of the equatorial and low‐latitude ionosphere in the Indian sector to the geomagnetic storms of January 2005. Journal of Geophysical Research Atmospheres. 114(A6). 31 indexed citations
19.
Ravindran, Sudha, G. Manju, C. V. Devasia, et al.. (2006). Plasmaspheric electron content variation in the magnetic equatorial region during space weather events: Results from the CRABEX (Coherent Radio Beacon Experiment) using the beacon onboard the Indian geostationary satellite (GSAT - 2). 36. 1784. 1 indexed citations
20.
Devasia, C. V., V. Sreeja, & Sudha Ravindran. (2006). Solar cycle dependent characteristics of the equatorial blanketing E<sub><i>s</i></sub> layers and associated irregularities. Annales Geophysicae. 24(11). 2931–2947. 26 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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