Daniel J. Pack

2.0k citations
117 papers · 1.2k · h-index 19

Impact in

Papers in

Daniel J. Pack

105 papers receiving 1.2k citations

Peers

Daniel J. Pack
Comparison fields: 5 of 83
  • Computer Networks and Communications 543
  • Aerospace Engineering 560
  • Computer Vision and Pattern Recognition 254
  • Computer Science Applications 57
  • Architecture 15
Replace Cesar Vargas‐Rosales with:
Cesar Vargas‐Rosales Mexico
Dianxi Shi China
Guangyue Lu China
Joydeep Biswas United States
Alexander Kleiner Germany
Michael Angermann Germany
Fabio Morbidi Italy
Feng Yan China
Gian Luca Mariottini United States
Nicholas Roy United States
Daniel J. Pack relative to Cesar Vargas‐Rosales Mexico Cesar Vargas‐Rosales's profile →
Citations per field
00.5×2.7×
Cesar Vargas‐Rosales · 1×
Citations per year

Countries citing papers authored by Daniel J. Pack

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Pack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009144
2 201772
3 200471
4 201368
5 201651
6 201847
7 201744
8 200729
9 200427
10 200626
11 201325
12 201825
13 201123
14 200723
15 200623
16 201718
17 201418
18 201118
19 201518
20 200616

About Daniel J. Pack

Daniel J. Pack is a scholar working on Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (33 papers), UAV Applications and Optimization (22 papers), Robotics and Sensor-Based Localization (22 papers), Robotic Path Planning Algorithms (21 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Guidance and Control Systems (14 papers), Experimental Learning in Engineering (14 papers) and Mechatronics Education and Applications (12 papers). The work is most often cited by research in Computer Networks and Communications (543 citations), Aerospace Engineering (560 citations), Computer Vision and Pattern Recognition (254 citations), Computer Science Applications (57 citations) and Architecture (15 citations). Daniel J. Pack has collaborated with scholars based in United States, Israel and India. Frequent co-authors include George York, Liang Sun, Steven F. Barrett, Gregory J. Toussaint, David Akopian, Rajnikant Sharma, Igor Verner, David J. Ahlgren, Barry E. Mullins and Mangal Kothari. Their work appears in journals such as Journal of Intelligent & Robotic Systems, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Neurocomputing, IEEE Transactions on Mobile Computing and IEEE Transactions on Control Systems Technology.

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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