S.L. Miller

5.6k citations
182 papers · 3.6k · h-index 28

Impact in

Papers in

S.L. Miller

168 papers receiving 3.2k citations

Peers

S.L. Miller
Comparison fields: 5 of 114
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.4k
  • Signal Processing 328
  • Electrical and Electronic Engineering 1.6k
  • Computational Mechanics 398
Replace Richard Vuduc with:
Richard Vuduc United States
John Shalf United States
John L. Gustafson United States
Zizhong Chen United States
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Jeffrey S. Vetter United States
A. van Wijngaarden United States
Alan Sussman United States
Selim G. Akl Canada
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Citations per field
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Citations per year

Countries citing papers authored by S.L. Miller

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.L. Miller. 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 S.L. Miller. The network helps show where S.L. Miller may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997470
2 1995290
3 1996252
4
Name Tagging with Word Clusters and Discriminative Training
2004179
5 2013146
6
A novel use of statistical parsing to extract information from text
2000129
7 2012129
8 1952101
9 202278
10 199675
11 199769
12 199869
13 200061
14 199459
15 199656
16 200055
17
BBN: Description of the SIFT System as Used for MUC-7
199846
18 200444
19 200243
20 199642

About S.L. Miller

S.L. Miller is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 182 papers that have together received 3.6k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (77 papers), Advanced Wireless Communication Techniques (76 papers), Natural Language Processing Techniques (29 papers), Topic Modeling (29 papers), Advanced Wireless Network Optimization (20 papers), Advanced MIMO Systems Optimization (18 papers), Advanced Adaptive Filtering Techniques (17 papers) and Power Line Communications and Noise (15 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Artificial Intelligence (1.4k citations), Signal Processing (328 citations), Electrical and Electronic Engineering (1.6k citations) and Computational Mechanics (398 citations). S.L. Miller has collaborated with scholars based in United States, Qatar and Jordan. Frequent co-authors include Ralph Weischedel, Richard Schwartz, Daniel M. Bikel, Erik G. Ström, Stefan Parkvall, Björn Ottersten, Mahdi Nezamabadi, D. G. Childers, Scott Daly and Heidi Fox. Their work appears in journals such as IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, IEEE Communications Letters, IEEE Access and IEEE Transactions on Wireless Communications.

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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