Mark Lee

7.2k citations
212 papers · 4.2k · h-index 31

Impact in

Papers in

Mark Lee

194 papers receiving 3.9k citations

Peers

Mark Lee
Comparison fields: 5 of 191
  • Condensed Matter Physics 440
  • Software 111
  • Artificial Intelligence 864
  • Earth-Surface Processes 114
  • Electronic, Optical and Magnetic Materials 267
Replace Zhiqiang Cai with:
Zhiqiang Cai China
Jae Yong Lee South Korea
Mark J. Friedman United States
Bing Li China
Taeho Jo Japan
Robert Rosén United States
Makoto Yamada Japan
Bin Lin China
Mauricio Barahona United Kingdom
Guang Yang United Kingdom
Mark Lee relative to Zhiqiang Cai China Zhiqiang Cai's profile →
Citations per field
00.5×10×14.3×
Zhiqiang Cai · 1×
Citations per year

Countries citing papers authored by Mark Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009367
2 1990320
3 2004277
4 2017200
5 2013123
6
Incremental Natural Actor-Critic Algorithms
2007106
7 2020101
8 198986
9 201586
10
SBVR Business Rules Generation from Natural Language Specification
201183
11 200276
12 200274
13 199570
14 199667
15 200265
16 201064
17 201061
18 201860
19 199058
20 200957

About Mark Lee

Mark Lee is a scholar working on Artificial Intelligence, Condensed Matter Physics, Experimental and Cognitive Psychology, Atomic and Molecular Physics, and Optics and Social Psychology, having authored 212 papers that have together received 4.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (29 papers), Physics of Superconductivity and Magnetism (19 papers), Language, Metaphor, and Cognition (18 papers), Sentiment Analysis and Opinion Mining (15 papers), Quantum and electron transport phenomena (9 papers), Model-Driven Software Engineering Techniques (9 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Condensed Matter Physics (440 citations), Software (111 citations), Artificial Intelligence (864 citations), Earth-Surface Processes (114 citations) and Electronic, Optical and Magnetic Materials (267 citations). Mark Lee has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mohammad Ghavamzadeh, Shalabh Bhatnagar, Richard Sutton, Imran Sarwar Bajwa, Behzad Bordbar, John A. Barnden, M. R. Beasley, Chang‐Beom Eom, S. C. Gausepohl and Kye Won Park. Their work appears in journals such as Physical review. B, Condensed matter, Applied Physics Letters, Journal of Orthopaedic Trauma, Journal of Clinical Oncology and Metaphor and Symbol.

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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