Daniel C. Lee

9.2k total citations · 2 hit papers
58 papers, 5.3k citations indexed

About

Daniel C. Lee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel C. Lee has authored 58 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 43 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Daniel C. Lee's work include Cooperative Communication and Network Coding (21 papers), Advanced MIMO Systems Optimization (16 papers) and Advanced Wireless Communication Techniques (13 papers). Daniel C. Lee is often cited by papers focused on Cooperative Communication and Network Coding (21 papers), Advanced MIMO Systems Optimization (16 papers) and Advanced Wireless Communication Techniques (13 papers). Daniel C. Lee collaborates with scholars based in Canada, United States and Pakistan. Daniel C. Lee's co-authors include Ben Goodrich, Michael Betancourt, Bob Carpenter, Matthew D. Hoffman, Marcus A. Brubaker, Allen Riddell, Jiqiang Guo, Peter Li, Andrew Gelman and Andrew Gelman and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Sensors and IEEE Transactions on Wireless Communications.

In The Last Decade

Daniel C. Lee

51 papers receiving 5.2k citations

Hit Papers

Stan: A Probabilistic Programming Language 2017 2026 2020 2023 2017 2017 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stan: A Probabilistic Programming Language
    2017 4.3k citations Bob Carpenter, Andrew Gelman et al. Journal of Statistical Software profile →
  2. Stan: A Probabilistic Programming Language
    2017 496 citations Bob Carpenter, Andrew Gelman et al. Journal of Systems and Software profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Lee Canada 11 710 684 612 517 414 58 5.3k
Marcus A. Brubaker Canada 19 980 1.4× 730 1.1× 639 1.0× 957 1.9× 416 1.0× 52 11.7k
Peter Li United States 49 1.0k 1.5× 708 1.0× 657 1.1× 554 1.1× 419 1.0× 149 13.1k
Paul McCullagh United Kingdom 31 657 0.9× 723 1.1× 413 0.7× 697 1.3× 119 0.3× 181 6.4k
Martin Krzywinski Canada 48 1.0k 1.4× 293 0.4× 499 0.8× 1.2k 2.4× 219 0.5× 119 17.8k
Matthew D. Hoffman United States 17 2.6k 3.7× 873 1.3× 688 1.1× 527 1.0× 436 1.1× 54 7.9k
Rob Tibshirani United States 19 1.2k 1.8× 1.4k 2.1× 554 0.9× 369 0.7× 339 0.8× 28 14.2k
Carolin Strobl Germany 25 1.3k 1.9× 666 1.0× 276 0.5× 1.3k 2.5× 448 1.1× 70 9.0k
Russell V. Lenth United States 29 443 0.6× 841 1.2× 617 1.0× 1.6k 3.0× 521 1.3× 76 9.9k
Ben Goodrich United States 12 814 1.1× 747 1.1× 662 1.1× 672 1.3× 469 1.1× 26 5.7k
Friedrich Leisch Austria 42 1.1k 1.6× 656 1.0× 202 0.3× 573 1.1× 228 0.6× 176 7.6k

Countries citing papers authored by Daniel C. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Lee. A scholar is included among the top collaborators of Daniel C. Lee 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 Daniel C. Lee. Daniel C. Lee 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.
Lee, Daniel C., et al.. (2022). Recursive Approximation of Bitwise LLRs for Gray-Coded Generalized PAM and QAM. IEEE Communications Letters. 26(8). 1938–1941.
2.
Lee, Daniel C., et al.. (2022). Performance Variation of Gray Codes for Cropped Gaussian 16PAM Constellations. 89–94. 1 indexed citations
3.
Lee, Daniel C., et al.. (2019). Calculation and error bound of Min‐approximated bitwise log‐likelihood ratios of generalised M ‐ary PAM. The Journal of Engineering. 2020(3). 104–106. 1 indexed citations
4.
5.
Lee, Daniel C., et al.. (2017). Optimizing the Bit Transmission Power for Link Layer Energy Efficiency Under Imperfect CSI. IEEE Transactions on Wireless Communications. 17(1). 29–40. 4 indexed citations
6.
Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Systems and Software. 76(1). 1–32. 496 indexed citations breakdown →
7.
Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Statistical Software. 76(1). 4257 indexed citations breakdown →
8.
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10.
White, Chris, et al.. (2015). Ib Philosophy Being Human Print and Online Pack: Oxford Ib Diploma Programme.
11.
12.
Naeem, Muhammad, Alagan Anpalagan, Muhammad Jaseemuddin, & Daniel C. Lee. (2014). Resource Allocation Techniques in Cooperative Cognitive Radio Networks. IEEE Communications Surveys & Tutorials. 16(2). 729–744. 98 indexed citations
13.
Lee, Daniel C., et al.. (2013). On the Performance of Selective Decode and Forward Relaying over Imperfectly Known Fading Relay Channels. 173–178. 3 indexed citations
14.
Manbachi, Moein, Hassan Farhangi, Ali Palizban, et al.. (2013). Real-Time Adaptive VVO/CVR Topology Using Multi-Agent System and IEC 61850-Based Communication Protocol. IEEE Transactions on Sustainable Energy. 5(2). 587–597. 64 indexed citations
15.
Ashrafinia, Saeed, Muhammad Naeem, & Daniel C. Lee. (2011). A low complexity evolutionary algorithm for multi-user MIMO detection. 3. 8–13. 1 indexed citations
16.
Lee, Daniel C., et al.. (2010). Some analysis of call blocking probabilities in hierarchical WDM networks offering multiclass service. International Journal of Communication Systems. 24(6). 709–731. 8 indexed citations
17.
Naeem, Muhammad & Daniel C. Lee. (2009). On convexity of MQAM's and MPAM's bit error probability functions. International Journal of Communication Systems. 22(11). 1465–1477. 1 indexed citations
18.
Lee, Daniel C., et al.. (2006). Reduced load approximations for large-scale optical WDM networks offering multiclass services. 48–48. 2 indexed citations
19.
Park, Junseong & Daniel C. Lee. (2003). Enhanced Fixed and Dynamic Code Assignment Policies for OVSF-CDMA Systems.. International Conference on Wireless Networks. 260(7). 620–625. 26 indexed citations
20.
Lee, Daniel C., John N. Tsitsiklis, & Decision Systems.. (1992). On the optimal admission schedule of a finite population to a queue.

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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