Daniel Tran

1.2k citations
62 papers · 777 · h-index 12

Impact in

Papers in

Daniel Tran

55 papers receiving 695 citations

Peers

Daniel Tran
Comparison fields: 5 of 70
  • Computer Networks and Communications 257
  • Aerospace Engineering 263
  • Astronomy and Astrophysics 173
  • Artificial Intelligence 263
  • Software 28
Replace G. Rabideau with:
G. Rabideau United States
Stuart Frye United States
Dan Mandl United States
Eiji Kawai Japan
Omar Marcillo United States
Kyle Brown United States
Scott Burleigh United States
Alessandro Golkar Russia
Jihe Wang China
Massimo Cafaro Italy
Daniel Tran relative to G. Rabideau United States G. Rabideau's profile →
Citations per field
00.5×2.8×
G. Rabideau · 1×
Citations per year

Countries citing papers authored by Daniel Tran

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005202
2 2005102
3 200582
4 200648
5 201046
6 200639
7 200528
8 200816
9 201315
10
Advanced Diagnostic System on Earth Observing One
200413
11
Validating the autonomous EO-1 science agent
200412
12 200811
13 200611
14
Flight software issues in onboard automated planning: lessons learned on EO-1
200410
15 20059
16 20058
17 20147
18 20147
19
Improving the Operations of the Earth Observing One Mission via Automated Mission Planning
20106
20
A Multi-agent Space, In-situ Volcano Sensorweb
20106

About Daniel Tran

Daniel Tran is a scholar working on Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, Astronomy and Astrophysics and Information Systems, having authored 62 papers that have together received 777 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Distributed systems and fault tolerance (13 papers), AI-based Problem Solving and Planning (11 papers), Spacecraft Design and Technology (7 papers), Planetary Science and Exploration (7 papers), Scientific Computing and Data Management (6 papers), Mobile Learning in Education (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Computer Networks and Communications (257 citations), Aerospace Engineering (263 citations), Astronomy and Astrophysics (173 citations), Artificial Intelligence (263 citations) and Software (28 citations). Daniel Tran has collaborated with scholars based in United States, Czechia and Vietnam. Frequent co-authors include Steve Chien, Stuart Frye, Gregg Rabideau, Rebecca Castaño, A. G. Davies, Rob Sherwood, Seth Shulman, Benjamin Cichy, Dan Mandl and G. Rabideau. Their work appears in journals such as Remote Sensing of Environment, AI Magazine, IEEE Intelligent Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Eos.

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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