Alan D. Christiansen

1.2k total citations
25 papers, 771 citations indexed

About

Alan D. Christiansen is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Alan D. Christiansen has authored 25 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Alan D. Christiansen's work include Robot Manipulation and Learning (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and AI-based Problem Solving and Planning (7 papers). Alan D. Christiansen is often cited by papers focused on Robot Manipulation and Learning (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and AI-based Problem Solving and Planning (7 papers). Alan D. Christiansen collaborates with scholars based in United States and Mexico. Alan D. Christiansen's co-authors include Carlos A. Coello Coello, Arturo Hernández Aguirre, Matthew T. Mason, Randy C. Brost, Tom M. Mitchell, Andrea Edwards, Gary W. Euliss, Ravindra A. Athale, Ken Goldberg and Nathaniel S. Winstead and has published in prestigious journals such as The International Journal of Robotics Research, Computers & Structures and Robotics and Autonomous Systems.

In The Last Decade

Alan D. Christiansen

23 papers receiving 675 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alan D. Christiansen United States 14 325 294 212 174 105 25 771
Mojtaba Khayatazad Iran 5 454 1.4× 574 2.0× 273 1.3× 68 0.4× 83 0.8× 10 934
C.S. Krishnamoorthy India 15 409 1.3× 238 0.8× 927 4.4× 102 0.6× 108 1.0× 46 1.3k
Rahul Khandelwal India 6 138 0.4× 191 0.6× 112 0.5× 70 0.4× 56 0.5× 8 515
Poonam Savsani India 10 267 0.8× 331 1.1× 143 0.7× 80 0.5× 50 0.5× 13 577
Yiying Zhang China 16 263 0.8× 686 2.3× 49 0.2× 158 0.9× 46 0.4× 23 1.1k
Saeed Asil Gharebaghi Iran 12 69 0.2× 127 0.4× 185 0.9× 55 0.3× 71 0.7× 30 583
Jiaxiang Liu China 13 101 0.3× 106 0.4× 285 1.3× 123 0.7× 106 1.0× 40 722
Md Asafuddoula Australia 11 555 1.7× 564 1.9× 78 0.4× 74 0.4× 36 0.3× 18 798
M. Galan Spain 4 89 0.3× 127 0.4× 36 0.2× 139 0.8× 30 0.3× 7 430

Countries citing papers authored by Alan D. Christiansen

Since Specialization
Citations

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

Fields of papers citing papers by Alan D. Christiansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan D. Christiansen. 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 Alan D. Christiansen. The network helps show where Alan D. Christiansen may publish in the future.

Co-authorship network of co-authors of Alan D. Christiansen

This figure shows the co-authorship network connecting the top 25 collaborators of Alan D. Christiansen. A scholar is included among the top collaborators of Alan D. Christiansen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan D. Christiansen. Alan D. Christiansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mitchell, Tom M., Matthew T. Mason, & Alan D. Christiansen. (2018). Toward a learning robot. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
2.
Euliss, Gary W., et al.. (2008). Analysis of laser-ranging technology for sense and avoid operation of unmanned aircraft systems: the tradeoff between resolution and power. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6962. 696208–696208. 14 indexed citations
3.
Athale, Ravindra A., et al.. (2007). Experimentally Scoping the Range of UAS Sense and Avoid Capability. 13 indexed citations
4.
Grabowski, Robert & Alan D. Christiansen. (2005). A Simplified Taxonomy of Command and Control Structures for Robot Teams. Defense Technical Information Center (DTIC). 2 indexed citations
5.
Christiansen, Alan D., Matthew T. Mason, & Tom M. Mitchell. (2002). Learning reliable manipulation strategies without initial physical models. 1224–1230. 16 indexed citations
6.
Christiansen, Alan D., Andrea Edwards, & Carlos A. Coello Coello. (2002). Automated design of part feeders using a genetic algorithm. 1. 846–851. 25 indexed citations
7.
Brost, Randy C. & Alan D. Christiansen. (2002). Probabilistic analysis of manipulation tasks: a research agenda. 9. 549–556. 6 indexed citations
8.
Coello, Carlos A. Coello, Alan D. Christiansen, & Arturo Hernández Aguirre. (2000). Towards automated evolutionary design of combinational circuits. Computers & Electrical Engineering. 27(1). 1–28. 38 indexed citations
9.
Coello, Carlos A. Coello & Alan D. Christiansen. (2000). Multiobjective optimization of trusses using genetic algorithms. Computers & Structures. 75(6). 647–660. 184 indexed citations
10.
Coello, Carlos A. Coello & Alan D. Christiansen. (1999). MOSES: A MULTIOBJECTIVE OPTIMIZATION TOOL FOR ENGINEERING DESIGN. Engineering Optimization. 31(3). 337–368. 108 indexed citations
11.
Coello, Carlos A. Coello, Alan D. Christiansen, & Arturo Hernández Aguirre. (1998). Using a new GA-based multiobjective optimization technique for the design of robot arms. Robotica. 16(4). 401–414. 31 indexed citations
12.
Coello, Carlos A. Coello & Alan D. Christiansen. (1998). TWO NEW GA-BASED METHODS FOR MULTIOBJECTIVE OPTIMIZATION. Civil Engineering and Environmental Systems. 15(3). 207–243. 29 indexed citations
13.
Coello, Carlos A. Coello, et al.. (1997). A simple genetic algorithm for the design of reinforced concrete beams. Engineering With Computers. 13(4). 185–196. 96 indexed citations
14.
Coello, Carlos A. Coello, et al.. (1996). A GENETIC ALGORITHM FOR THE OPTIMAL DESIGN OF AXIALLY LOADED NON-PRISMATIC COLUMNS. Civil Engineering Systems. 14(2). 111–146. 3 indexed citations
15.
Christiansen, Alan D.. (1995). A machine learning perspective on modeling robot actions. 319–330. 1 indexed citations
16.
Christiansen, Alan D. & Ken Goldberg. (1995). Comparing two algorithms for automatic planning by robots in stochastic environments. Robotica. 13(6). 565–573. 4 indexed citations
17.
Coello, Carlos A. Coello, et al.. (1994). Using genetic algorithms for optimal design of trusses. 88–94. 28 indexed citations
18.
Christiansen, Alan D., Matthew T. Mason, & Tom M. Mitchell. (1993). Learning reliable manipulation strategies without initial physical models. MIT Press eBooks. 7–18. 6 indexed citations
19.
Christiansen, Alan D.. (1992). Automatic acquisition of task theories for robotic manipulation. 13 indexed citations
20.
Christiansen, Alan D., Matthew T. Mason, & Tom M. Mitchell. (1991). Learning reliable manipulation strategies without initial physical models. Robotics and Autonomous Systems. 8(1-2). 7–18. 7 indexed citations

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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