Daniel Tran

1.1k citations
58 papers · 713 indexed · h-index 11

Daniel Tran

51 papers receiving 636 citations

Peers

Daniel Tran
Comparison fields: 5 of 71
  • Astronomy and Astrophysics 171
  • Aerospace Engineering 247
  • Computer Networks and Communications 223
  • 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
B. Cichy United States
Kyle Brown United States
Massimo Cafaro Italy
Eiji Kawai Japan
Scott Burleigh United States
M. Shirley United States
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-authorship network

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
#Work
1 20242
2 20241
3 20230
4 20221
5 20225
6 20213
7 20200
8 20141
9
Improving the Operations of the Earth Observing One Mission via Automated Mission Planning
20106
10
Onboard Science Product Generation on the Earth Observing One Mission and Beyond
20091
11
Request-Driven Scheduling for NASA's Deep Space Network
20094
12 20094
13 20082
14 200810
15
Autonomous Triggering of in situ Sensors on Kilauea Volcano, HI, from Eruption Detection by the EO-1 Spacecraft: Design and Operational Scenario.
20071
16
The EO-1 Autonomous Sciencecraft
20074
17 200523
18 20059
19
Advanced Diagnostic System on Earth Observing One
200412
20
Next generation autonomous operations on a current generation satellite
20033

About Daniel Tran

Daniel Tran is a scholar working on Computer Networks and Communications, Information Systems and Management, Artificial Intelligence, Aerospace Engineering and Hardware and Architecture, having authored 58 papers that have together received 713 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), Planetary Science and Exploration (7 papers), Spacecraft Design and Technology (7 papers), Scientific Computing and Data Management (6 papers), Mobile Learning in Education (5 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Astronomy and Astrophysics (171 citations), Aerospace Engineering (247 citations), Computer Networks and Communications (223 citations), Artificial Intelligence (240 citations) and Software (22 citations). Daniel Tran has collaborated with scholars based in United States, Czechia and Netherlands. Frequent co-authors include Steve Chien, Stuart Frye, Rebecca Castaño, Gregg Rabideau, A. G. Davies, Rob Sherwood, Seth Shulman, Dan Mandl, Benjamin Cichy and B. Cichy. Their work appears in journals such as Remote Sensing of Environment, AI Magazine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Intelligent Systems 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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