Tapovan Lolla

709 citations
11 papers · 577 · h-index 10

Impact in

Papers in

Tapovan Lolla

11 papers receiving 559 citations

Peers

Tapovan Lolla
Comparison fields: 5 of 49
  • Ocean Engineering 313
  • Computer Vision and Pattern Recognition 240
  • Oceanography 107
  • Aerospace Engineering 160
  • Computer Networks and Communications 98
Replace Deepak Subramani with:
Deepak Subramani India
Mattheus P. Ueckermann United States
Kohei Ohtsu Japan
Arvind Pereira United States
Ossama Abdelkhalik United States
Zhixin Zhou China
François Septier France
Congan Xu China
J. Graver United States
Tapovan Lolla relative to Deepak Subramani India Deepak Subramani's profile →
Citations per field
00.5×5.9×
Deepak Subramani · 1×
Citations per year

Countries citing papers authored by Tapovan Lolla

Since Specialization
Citations

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

Fields of papers citing papers by Tapovan Lolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Tapovan Lolla, 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 Tapovan Lolla Line = papers co-authored together Tapovan Lolla links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2012125
2 2014121
3 201776
4 201459
5 201658
6 201556
7 201522
8 201720
9 201616
10 201715
11 20179

About Tapovan Lolla

Tapovan Lolla is a scholar working on Ocean Engineering, Computational Mechanics, Atmospheric Science, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 577 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (5 papers), Fluid Dynamics Simulations and Interactions (4 papers), Ship Hydrodynamics and Maneuverability (3 papers), Robotic Path Planning Algorithms (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Guidance and Control Systems (2 papers), Climate variability and models (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Ocean Engineering (313 citations), Computer Vision and Pattern Recognition (240 citations), Oceanography (107 citations), Aerospace Engineering (160 citations) and Computer Networks and Communications (98 citations). Tapovan Lolla has collaborated with scholars based in United States. Frequent co-authors include Pierre F. J. Lermusiaux, Patrick J. Haley, Mattheus P. Ueckermann, Deepak Subramani, Panagiotis Tsiotras, Thomas Søndergaard, Wayne G. Leslie, Chengxi Li, Franz S. Hover and Chris Mirabito. Their work appears in journals such as Monthly Weather Review, Ocean Dynamics, Ocean Modelling, Journal of Guidance Control and Dynamics and Lecture notes in computer science.

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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