Howard Lee

962 citations
34 papers · 576 indexed · h-index 11

Impact in

Papers in

Howard Lee

28 papers receiving 532 citations

Peers

Howard Lee
Comparison fields: 5 of 122
  • Cognitive Neuroscience 144
  • Fluid Flow and Transfer Processes 33
  • Computer Vision and Pattern Recognition 80
  • Health Informatics 5
  • Media Technology 30
Replace Alark Joshi with:
Alark Joshi United States
Stephan Jonas Germany
Pantelis Angelidis Greece
Gaurav Malhotra United Kingdom
Slobodan Marković Serbia
Dominique Duncan United States
Darren Dancey United Kingdom
Janice C. Honeyman United States
Bernard Gibaud France
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Citations per field
00.5×10×20×33×
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Citations per year

Countries citing papers authored by Howard Lee

Since Specialization
Citations

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

Fields of papers citing papers by Howard Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20222
3 20208
4 202018
5 20170
6 2015107
7 201452
8 20132
9 201117
10 20110
11 20091
12
The New Zealand District High School: A Case Study of the Conservative Politics of Rural Education.
20050
13
Frequency and Mode Control of Tunable External Cavity Semiconductor Lasers
20033
14 200110
15
A Multidimensional Model for Exploratory Spatiotemporal Analysis
20002
16
Hierarchical Reasoning and On-line Analytical Processing in Spatio-temporal Information Systems
20001
17
Scholars or dollars? : selected historical case studies of opportunity costs in New Zealand education
19966
18 198938
19 1985151
20 198348

About Howard Lee

Howard Lee is a scholar working on Fluid Flow and Transfer Processes, Education, Transportation, Developmental Neuroscience and Information Systems, having authored 34 papers that have together received 576 indexed citations. Recurring topics across this work include Education Systems and Policy (7 papers), Privacy, Security, and Data Protection (3 papers), Socioeconomic Development in Asia (3 papers), COVID-19 Digital Contact Tracing (3 papers), Asian Studies and History (3 papers), Human Mobility and Location-Based Analysis (2 papers), Historical Education Studies Worldwide (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Cognitive Neuroscience (144 citations), Fluid Flow and Transfer Processes (33 citations), Computer Vision and Pattern Recognition (80 citations), Health Informatics (5 citations) and Media Technology (30 citations). Howard Lee has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Yi‐Ping Phoebe Chen, A. Starr, John Polich, Terence Lee, J Coles, Erlendur Steinthorsson, Adel Mansour, Vincent McDonell, Roger Openshaw and Ali Sadeghianjahromi. Their work appears in journals such as Media International Australia, Energies, Rural History, Brain Research and Continuum.

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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