Michael D. Moffitt

835 total citations
38 papers, 570 citations indexed

About

Michael D. Moffitt is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Michael D. Moffitt has authored 38 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Computer Networks and Communications and 19 papers in Hardware and Architecture. Recurrent topics in Michael D. Moffitt's work include VLSI and FPGA Design Techniques (19 papers), Constraint Satisfaction and Optimization (14 papers) and VLSI and Analog Circuit Testing (11 papers). Michael D. Moffitt is often cited by papers focused on VLSI and FPGA Design Techniques (19 papers), Constraint Satisfaction and Optimization (14 papers) and VLSI and Analog Circuit Testing (11 papers). Michael D. Moffitt collaborates with scholars based in United States, Brazil and India. Michael D. Moffitt's co-authors include Martha E. Pollack, Richard E. Korf, Igor L. Markov, Jarrod A. Roy, Charles J. Alpert, Gi-Joon Nam, Zhuo Li, C. N. Sze, David Papa and Gustavo Tèllez and has published in prestigious journals such as Artificial Intelligence, Journal of the ACM and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Michael D. Moffitt

35 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Moffitt United States 15 364 291 225 106 60 38 570
N.G. Shivaratri United States 9 107 0.3× 234 0.8× 644 2.9× 55 0.5× 24 0.4× 10 703
Ephraim Korach Israel 14 78 0.2× 133 0.5× 507 2.3× 105 1.0× 34 0.6× 54 703
Paul Molitor Germany 12 171 0.5× 191 0.7× 40 0.2× 105 1.0× 41 0.7× 58 449
Janice M. Stone United States 14 83 0.2× 466 1.6× 433 1.9× 78 0.7× 12 0.2× 18 619
Shlomo Weiss Israel 14 140 0.4× 402 1.4× 393 1.7× 73 0.7× 11 0.2× 73 559
Peter Varman United States 19 293 0.8× 509 1.7× 1.1k 5.1× 115 1.1× 5 0.1× 100 1.4k
Richard Johnson United States 12 78 0.2× 527 1.8× 343 1.5× 219 2.1× 11 0.2× 21 737
Reinhold Weicker Germany 6 133 0.4× 376 1.3× 291 1.3× 93 0.9× 5 0.1× 10 532
Girija Narlikar United States 16 253 0.7× 441 1.5× 633 2.8× 131 1.2× 12 0.2× 26 760
Howard Trickey United States 11 108 0.3× 177 0.6× 337 1.5× 115 1.1× 4 0.1× 20 547

Countries citing papers authored by Michael D. Moffitt

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Moffitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Moffitt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Moffitt. A scholar is included among the top collaborators of Michael D. Moffitt 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 Michael D. Moffitt. Michael D. Moffitt 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.
2.
Korf, Richard E., et al.. (2014). Optimal Sequential Multi-Way Number Partitioning.. 8 indexed citations
3.
Moffitt, Michael D.. (2013). Search strategies for optimal multi-way number partitioning. International Joint Conference on Artificial Intelligence. 623–629. 9 indexed citations
4.
Moffitt, Michael D., et al.. (2013). Place and route for massively parallel hardware-accelerated functional verification. International Conference on Computer Aided Design. 466–472.
5.
Moffitt, Michael D. & C. N. Sze. (2011). Wire synthesizable global routing for timing closure. Asia and South Pacific Design Automation Conference. 545–550. 6 indexed citations
6.
Moffitt, Michael D., et al.. (2011). Scalable Scheduling for Hardware-Accelerated Functional Verification. Proceedings of the International Conference on Automated Planning and Scheduling. 21. 162–169. 4 indexed citations
7.
Moffitt, Michael D.. (2009). Global routing revisited. 805–808. 16 indexed citations
8.
Moffitt, Michael D.. (2008). MaizeRouter: engineering an effective global router. Asia and South Pacific Design Automation Conference. 226–231. 31 indexed citations
9.
Papa, David, Tao Luo, Michael D. Moffitt, et al.. (2008). RUMBLE: An Incremental Timing-Driven Physical-Synthesis Optimization Algorithm. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 27(12). 2156–2168. 19 indexed citations
10.
Moffitt, Michael D.. (2007). On the partial observability of temporal uncertainty. National Conference on Artificial Intelligence. 1031–1037. 7 indexed citations
11.
Moffitt, Michael D. & Martha E. Pollack. (2007). Generalizing temporal controllability. International Joint Conference on Artificial Intelligence. 1985–1990. 4 indexed citations
12.
Moffitt, Michael D., et al.. (2007). The Design of a User-Centric Scheduling System for Multifaceted Real-World Problems. 1 indexed citations
13.
Moffitt, Michael D. & Martha E. Pollack. (2006). Optimal rectangle packing: a meta-CSP approach. International Conference on Automated Planning and Scheduling. 93–102. 14 indexed citations
14.
Moffitt, Michael D. & Martha E. Pollack. (2006). Temporal preference optimization as weighted constraint satisfaction. National Conference on Artificial Intelligence. 110–116. 10 indexed citations
15.
Liffiton, Mark H., Michael D. Moffitt, Martha E. Pollack, & Karem A. Sakallah. (2005). Identifying conflicts in overconstrained temporal problems. International Joint Conference on Artificial Intelligence. 205–211. 11 indexed citations
16.
Gervasio, Melinda, et al.. (2005). A Personalized Time Management Assistant: Research Directions.. National Conference on Artificial Intelligence. 1–6. 6 indexed citations
17.
Moffitt, Michael D., Bart Peintner, & Martha E. Pollack. (2005). Augmenting disjunctive temporal problems with finite-domain constraints. National Conference on Artificial Intelligence. 1187–1192. 16 indexed citations
18.
Moffitt, Michael D. & Martha E. Pollack. (2005). Applying local search to disjunctive temporal problems. International Joint Conference on Artificial Intelligence. 242–247. 5 indexed citations
19.
Moffitt, Michael D. & Martha E. Pollack. (2005). Partial Constraint Satisfaction of Disjunctive Temporal Problems.. The Florida AI Research Society. 10 Suppl 1. 715–720. 12 indexed citations
20.
Peintner, Bart, Michael D. Moffitt, & Martha E. Pollack. (2005). Solving over-constrained Disjunctive Temporal problems with preferences. International Conference on Automated Planning and Scheduling. 202–211. 8 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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