Dan Lee

33 papers receiving 762 citations

Peers

Dan Lee
Comparison fields: 5 of 138
  • Parasitology 151
  • Behavioral Neuroscience 19
  • Insect Science 70
  • Geography, Planning and Development 28
  • Public Health, Environmental and Occupational Health 104
Replace Massimo La Rosa with:
Massimo La Rosa Italy
William E. Chapman United States
Michael J. Casey United States
Jui G. Bhagwat United States
Nobuoki Eshima Japan
Amanda G. Chetwynd United Kingdom
Andreas Bender Germany
Anthony Almudevar United States
Jianrong Dai China
Min Hou China
Dan Lee relative to Massimo La Rosa Italy Massimo La Rosa's profile →
Citations per field
00.5×7.8×
Massimo La Rosa · 1×
Citations per year

Countries citing papers authored by Dan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006152
2 200491
3 200273
4 199963
5 201059
6 201650
7 201643
8 201932
9 202131
10 199129
11 201928
12
COMPAQ QuickSource: Providing the Consumer with the Power of Artificial Intelligence
199324
13 201823
14 199915
15
Geographic and Cartographic Contexts in Generalization
200415
16 199313
17 200813
18 199412
19 201210
20 19938

About Dan Lee

Dan Lee is a scholar working on Signal Processing, Geography, Planning and Development, Computer Networks and Communications, Information Systems and Building and Construction, having authored 41 papers that have together received 822 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Geographic Information Systems Studies (8 papers), 3D Modeling in Geospatial Applications (4 papers), Offshore Engineering and Technologies (3 papers), Neuropeptides and Animal Physiology (3 papers), Neuroendocrine regulation and behavior (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Parasitology (151 citations), Behavioral Neuroscience (19 citations), Insect Science (70 citations), Geography, Planning and Development (28 citations) and Public Health, Environmental and Occupational Health (104 citations). Dan Lee has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth L Sampson, Martin Blanchard, Vishvanath Nene, Robert A. Skilton, John Quackenbush, Richard P. Bishop, Stephen Mwaura, Hsuan-Shih Lee, David Copolov and Alan T. Lim. Their work appears in journals such as Journal of Neuroendocrinology, Ecological Economics, Age and Ageing, Journal of Nuclear Medicine and Brain Research.

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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