Nived Chebrolu

1.4k citations
26 papers · 840 indexed · h-index 14

Impact in

Papers in

Nived Chebrolu

25 papers receiving 813 citations

Peers

Nived Chebrolu
Comparison fields: 5 of 69
  • Geology 113
  • Environmental Engineering 264
  • Plant Science 483
  • Computer Vision and Pattern Recognition 209
  • Aerospace Engineering 209
Replace Jinhai Cai with:
Jinhai Cai Australia
Stephen Nuske United States
Dimitrios S. Paraforos Germany
Loïc Landrieu France
Eduard Gregorio Spain
Shangpeng Sun China
Wolfgang Förstner Germany
Lufeng Luo China
Tianxing Chu United States
Chenglin Wang China
Nived Chebrolu relative to Jinhai Cai Australia Jinhai Cai's profile →
Citations per field
00.5×5.6×
Jinhai Cai · 1×
Citations per year

Countries citing papers authored by Nived Chebrolu

Since Specialization
Citations

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

Fields of papers citing papers by Nived Chebrolu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nived Chebrolu, 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 Nived Chebrolu Line = papers co-authored together Nived Chebrolu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20250
4 202422
5 20242
6 20245
7 20242
8 20243
9 20247
10 202411
11 202342
12 20233
13 202180
14 202132
15 202114
16 202172
17 202039
18 201938
19 201861
20 2017238

About Nived Chebrolu

Nived Chebrolu is a scholar working on Geology, Environmental Engineering, Instrumentation, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 26 papers that have together received 840 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (14 papers), Robotics and Sensor-Based Localization (12 papers), Smart Agriculture and AI (10 papers), 3D Surveying and Cultural Heritage (7 papers), Robotic Path Planning Algorithms (4 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Optical Sensing Technologies (2 papers). The work is most often cited by research in Geology (113 citations), Environmental Engineering (264 citations), Plant Science (483 citations), Computer Vision and Pattern Recognition (209 citations) and Aerospace Engineering (209 citations). Nived Chebrolu has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Cyrill Stachniss, Philipp Lottes, Thomas Läbe, Alexander Schaefer, Wolfram Burgard, Wera Winterhalter, Jens Behley, Federico Magistri, Maurice Fallon and Andres Milioto. Their work appears in journals such as IEEE Robotics and Automation Letters, PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence, Robotics and Autonomous Systems and Journal of Field Robotics.

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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