Daniel J. Pack

2.0k citations
153 papers · 1.4k · h-index 19

Impact in

Papers in

Daniel J. Pack

138 papers receiving 1.4k citations

Peers

Daniel J. Pack
Comparison fields: 5 of 86
  • Aerospace Engineering 669
  • Computer Networks and Communications 643
  • Computer Vision and Pattern Recognition 310
  • Computer Science Applications 60
  • Control and Systems Engineering 239
Replace Xudong Zhang with:
Xudong Zhang China
Guangyue Lu China
Cesar Vargas‐Rosales Mexico
Dianxi Shi China
Michael Angermann Germany
Fabio Morbidi Italy
Weixiao Meng China
Gerhard K. Kraetzschmar Germany
Le Liang China
David Stavens United States
Daniel J. Pack relative to Xudong Zhang China Xudong Zhang's profile →
Citations per field
00.5×3.3×
Xudong Zhang · 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 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009155
2 200480
3 201774
4 201368
5 201653
6 201851
7 201746
8 200736
9 200631
10 200631
11 200430
12 201326
13 201825
14 201125
15 200724
16 201719
17 201419
18 201419
19 201518
20 201118

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 Electrical and Electronic Engineering, having authored 153 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (38 papers), Robotic Path Planning Algorithms (28 papers), Robotics and Sensor-Based Localization (28 papers), UAV Applications and Optimization (26 papers), Target Tracking and Data Fusion in Sensor Networks (22 papers), Sensor Technology and Measurement Systems (18 papers), Guidance and Control Systems (16 papers) and Experimental Learning in Engineering (14 papers). The work is most often cited by research in Aerospace Engineering (669 citations), Computer Networks and Communications (643 citations), Computer Vision and Pattern Recognition (310 citations), Computer Science Applications (60 citations) and Control and Systems Engineering (239 citations). Daniel J. Pack has collaborated with scholars based in United States, Israel and India. Frequent co-authors include George York, Steven F. Barrett, Liang Sun, 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 Lecture notes in control and information sciences, Journal of Intelligent & Robotic Systems, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Aerospace and Electronic Systems and Computing in Science & Engineering.

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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