Daniel Tran

1.2k citations
58 papers · 714 · h-index 11

Impact in

Papers in

Daniel Tran

50 papers receiving 640 citations

Peers

Daniel Tran
Comparison fields: 5 of 70
  • Astronomy and Astrophysics 171
  • Aerospace Engineering 249
  • Computer Networks and Communications 225
  • Artificial Intelligence 240
  • Software 22
Replace G. Rabideau with:
G. Rabideau United States
Stuart Frye United States
Dan Mandl United States
Seth Shulman United States
Craig Russell Australia
Daniel Mandl United States
B. Cichy United States
Kyle Brown United States
Massimo Cafaro Italy
Eiji Kawai Japan
Daniel Tran relative to G. Rabideau United States G. Rabideau's profile →
Citations per field
00.5×1.5×2.2×
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005191
2 200595
3 200577
4 200648
5 201039
6 200638
7 200523
8 200816
9 201314
10
Advanced Diagnostic System on Earth Observing One
200412
11
Validating the autonomous EO-1 science agent
200411
12 200810
13 200610
14
Flight software issues in onboard automated planning: lessons learned on EO-1
200410
15 20059
16 20147
17 20147
18
Improving the Operations of the Earth Observing One Mission via Automated Mission Planning
20106
19 20056
20 20225

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 58 papers that have together received 714 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), Distributed and Parallel Computing Systems (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), Optimization and Search Problems (5 papers) and Space Satellite Systems and Control (5 papers). The work is most often cited by research in Astronomy and Astrophysics (171 citations), Aerospace Engineering (249 citations), Computer Networks and Communications (225 citations), Artificial Intelligence (240 citations) and Software (22 citations). Daniel Tran has collaborated with scholars based in United States, Czechia and Vietnam. Frequent co-authors include Steve Chien, Rebecca Castaño, Stuart Frye, Gregg Rabideau, A. G. Davies, Rob Sherwood, Seth Shulman, Benjamin Cichy, Dan Mandl and B. Cichy. Their work appears in journals such as AI Magazine, Remote Sensing of Environment, Eos, IEEE Intelligent Systems and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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