Gopi K. Seemala

2.0k total citations
59 papers, 1.5k citations indexed

About

Gopi K. Seemala is a scholar working on Astronomy and Astrophysics, Geophysics and Aerospace Engineering. According to data from OpenAlex, Gopi K. Seemala has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Astronomy and Astrophysics, 31 papers in Geophysics and 26 papers in Aerospace Engineering. Recurrent topics in Gopi K. Seemala's work include Ionosphere and magnetosphere dynamics (51 papers), Earthquake Detection and Analysis (31 papers) and GNSS positioning and interference (26 papers). Gopi K. Seemala is often cited by papers focused on Ionosphere and magnetosphere dynamics (51 papers), Earthquake Detection and Analysis (31 papers) and GNSS positioning and interference (26 papers). Gopi K. Seemala collaborates with scholars based in India, United States and Nigeria. Gopi K. Seemala's co-authors include C. E. Valladares, John Bosco Habarulema, Daniel Okoh, K. Venkatesh, A. B. Rabiu, C. D. Reddy, P. R. Fagundes, Akinori Saito, M. Yamamoto and Chia‐Hung Chen and has published in prestigious journals such as Geophysical Research Letters, Remote Sensing and Climate Dynamics.

In The Last Decade

Gopi K. Seemala

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopi K. Seemala India 21 1.3k 876 661 275 268 59 1.5k
Dalia Burešová Czechia 23 1.4k 1.0× 911 1.0× 568 0.9× 157 0.6× 301 1.1× 87 1.4k
Giorgiana De Franceschi Italy 24 1.6k 1.2× 792 0.9× 1.1k 1.6× 527 1.9× 410 1.5× 94 1.8k
Feng Ding China 24 1.5k 1.1× 954 1.1× 678 1.0× 252 0.9× 275 1.0× 88 1.6k
E. A. Kherani Brazil 25 1.5k 1.1× 1.0k 1.2× 551 0.8× 221 0.8× 222 0.8× 72 1.8k
Ioanna Tsagouri Greece 22 1.2k 0.9× 594 0.7× 547 0.8× 215 0.8× 296 1.1× 78 1.3k
Anna Belehaki Greece 27 1.7k 1.2× 890 1.0× 912 1.4× 314 1.1× 355 1.3× 126 1.8k
É. L. Afraimovich Russia 29 1.9k 1.4× 1.5k 1.7× 747 1.1× 284 1.0× 500 1.9× 99 2.2k
S. Tulasi Ram India 28 1.9k 1.4× 994 1.1× 647 1.0× 202 0.7× 491 1.8× 88 2.0k
E. Yizengaw United States 30 2.0k 1.5× 1.1k 1.2× 794 1.2× 312 1.1× 657 2.5× 86 2.1k
Alessio Pignalberi Italy 18 969 0.7× 613 0.7× 546 0.8× 188 0.7× 212 0.8× 71 1.0k

Countries citing papers authored by Gopi K. Seemala

Since Specialization
Citations

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

Fields of papers citing papers by Gopi K. Seemala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gopi K. Seemala. 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 Gopi K. Seemala. The network helps show where Gopi K. Seemala may publish in the future.

Co-authorship network of co-authors of Gopi K. Seemala

This figure shows the co-authorship network connecting the top 25 collaborators of Gopi K. Seemala. A scholar is included among the top collaborators of Gopi K. Seemala 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 Gopi K. Seemala. Gopi K. Seemala 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
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Ram, S. Tulasi, B. Veenadhari, A. P. Dimri, et al.. (2024). Super‐Intense Geomagnetic Storm on 10–11 May 2024: Possible Mechanisms and Impacts. Space Weather. 22(12). e2024SW004126–e2024SW004126. 35 indexed citations
3.
Habarulema, John Bosco, Yongliang Zhang, Dalia Burešová, et al.. (2024). Absence of High Frequency Echoes From Ionosondes During the 23–25 April 2023 Geomagnetic Storm; What Happened?. Journal of Geophysical Research Space Physics. 129(3). 4 indexed citations
4.
Ram, S. Tulasi, S. Gurubaran, Manoj Nair, et al.. (2024). Empirical Model of Equatorial ElectroJet (EEJ) Using Long‐Term Observations From the Indian Sector. Space Weather. 22(7). 3 indexed citations
5.
Seemala, Gopi K., et al.. (2024). Ionospheric response to PPEF events in the Indian region during high and low intense geomagnetic storms. Advances in Space Research. 73(8). 4329–4341. 2 indexed citations
6.
Seemala, Gopi K., et al.. (2023). ROTI and scintillation index correlation under quiet and disturbed periods over an Indian low latitude station, Waltair. Advances in Space Research. 73(7). 3494–3503. 4 indexed citations
7.
Seemala, Gopi K., et al.. (2023). Seasonal and solar activity dependence of TEC over Bharati station, Antarctica. Polar Science. 38. 101001–101001. 2 indexed citations
8.
Chakrabarty, D., B. G. Fejer, G. D. Reeves, et al.. (2023). A Case of Anomalous Electric Field Perturbations in the Equatorial Ionosphere During Postsunset Hours: Insights. Journal of Geophysical Research Space Physics. 128(2). 5 indexed citations
9.
Sinha, A. K., Gopi K. Seemala, S. D. Pawar, et al.. (2023). The Global Representativeness of Fair‐Weather Atmospheric Electricity Parameters From the Coastal Station Maitri, Antarctica. Journal of Geophysical Research Atmospheres. 128(9). 2 indexed citations
10.
Vichare, Geeta, et al.. (2023). Simultaneous observations of atmospheric vertical potential gradient from coastal Antarctic stations Bharati and Maitri. Polar Science. 38. 101013–101013. 1 indexed citations
11.
Seemala, Gopi K., et al.. (2023). Machine learning approach for detection of plasma depletions from TEC. Advances in Space Research. 73(7). 3833–3844. 4 indexed citations
12.
Panda, Sampad Kumar, Christine Amory‐Mazaudier, Rolland Fleury, et al.. (2022). Signatures of Equatorial Plasma Bubbles and Ionospheric Scintillations from Magnetometer and GNSS Observations in the Indian Longitudes during the Space Weather Events of Early September 2017. Remote Sensing. 14(3). 652–652. 40 indexed citations
13.
14.
Seemala, Gopi K., et al.. (2021). Responses of various types of antennas to the globally distributed air-earth current monitored at Maitri, Antarctica. Polar Science. 30. 100657–100657. 4 indexed citations
15.
Fagundes, P. R., et al.. (2020). Daily and Monthly Variations of the Equatorial Ionization Anomaly (EIA) Over the Brazilian Sector During the Descending Phase of the Solar Cycle 24. Journal of Geophysical Research Space Physics. 125(9). 12 indexed citations
16.
17.
Okoh, Daniel, Gopi K. Seemala, A. B. Rabiu, et al.. (2019). A Neural Network‐Based Ionospheric Model Over Africa From Constellation Observing System for Meteorology, Ionosphere, and Climate and Ground Global Positioning System Observations. Journal of Geophysical Research Space Physics. 124(12). 10512–10532. 49 indexed citations
18.
Okoh, Daniel, Gopi K. Seemala, A. B. Rabiu, et al.. (2018). A Hybrid Regression‐Neural Network (HR‐NN) Method for Forecasting the Solar Activity. Space Weather. 16(9). 1424–1436. 45 indexed citations
19.
Alçay, Salih, et al.. (2014). GPS-based ionosphere modeling: A brief review. Fresenius environmental bulletin. 23. 815–824. 5 indexed citations
20.
Akala, A.O., Patricia H. Doherty, K. M. Groves, et al.. (2013). Characterization of GNSS scintillations over Lagos, Nigeria during the minimum and ascending phases (2009–2011) of solar cycle 24. Advances in Space Research. 53(1). 37–47. 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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