Jnaneshwar Das

1.6k citations
48 papers · 1.1k indexed · 1 hit paper · h-index 16

Jnaneshwar Das

45 papers receiving 1.1k citations

Hit Papers

Counting Apples and Oranges With Deep Learning: A Data-Dr...3222017202620202023100200300

Peers

Jnaneshwar Das
Comparison fields: 5 of 90
  • Ocean Engineering 248
  • Analytical Chemistry 149
  • Plant Science 442
  • Computer Vision and Pattern Recognition 197
  • Oceanography 114
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Maryam Rahnemoonfar United States
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Citations per year

Countries citing papers authored by Jnaneshwar Das

Since Specialization
Citations

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

Fields of papers citing papers by Jnaneshwar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20245
4 20234
5 20202
6 20190
7 201836
8 201621
9
Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data
20141
10
Persistent robot tasking for environmental monitoring through crowd-sourcing
20132
11 201312
12
Coordinated Sampling of Dynamic Oceanographic Features with AUVs and Drifters
20125
13
An On-line Utility based Multi-criteria Approach for Sampling Dynamic Ocean Fields
20124
14
Simultaneous Tracking and Sampling of Dynamic Oceanographic Features with AUVs and Drifters
20102
15
USC CINAPS Builds bridges : observing and monitoring the southern california bight
201010
16 201038
17
Collective Transport of Robots: Emergent Flocking from Minimalist Multi-robot Leader-following
20093
18
Networked aquatic microbial observing systems: An overview
20092
19
Design and implementation of sensor networks for the observation and research of harmful algal blooms in southern California coastal waters
20092
20 20095

About Jnaneshwar Das

Jnaneshwar Das is a scholar working on Ocean Engineering, Oceanography and Computer Science Applications, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (15 papers), Maritime Navigation and Safety (8 papers), Smart Agriculture and AI (8 papers), Modular Robots and Swarm Intelligence (6 papers), Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (6 papers), Marine and coastal ecosystems (6 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Ocean Engineering (248 citations), Analytical Chemistry (149 citations) and Plant Science (442 citations). Jnaneshwar Das has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Vijay Kumar, Chao Qu, Camillo J. Taylor, Steven W. Chen, Gaurav S. Sukhatme, Shreyas S. Shivakumar, Frédéric Py, David A. Caron, John P. Ryan and Pratap Tokekar. Their work appears in journals such as SHILAP Revista de lepidopterología, Limnology and Oceanography and Bulletin of the American Meteorological Society.

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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