Adam J. Lee

93 papers receiving 1.1k citations

Peers

Adam J. Lee
Comparison fields: 5 of 102
  • Artificial Intelligence 543
  • Sociology and Political Science 427
  • Information Systems 380
  • Computer Networks and Communications 299
  • Computer Vision and Pattern Recognition 152
Replace Helen Ashman with:
Helen Ashman Australia
Vincent Wade Ireland
Denis Parra Chile
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Zeno Gantner Germany
Adam J. Lee relative to Helen Ashman Australia Helen Ashman's profile →
Citations per field
00.5×2.6×
Helen Ashman · 1×
Citations per year

Countries citing papers authored by Adam J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Lee. A scholar is included among the top collaborators of Adam J. 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 Adam J. Lee. Adam J. 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
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 1
6 2
7
Improving Medication Adherence Behaviors Through Personalized, Technology-Powered Interventions.
0
8 40
9
Dynamic and Private Cryptographic Access Control for Untrusted Clouds: Costs and Constructions (Extended Version).
0
10 21
11 2
12
Cross-lingual Slot Filling from Comparable Corpora
3
13
CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description
39
14
Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion
2
15 3
16 12
17 26
18 18
19
Open Problems for Usable and Secure Open Systems
4
20 5

About Adam J. Lee

Adam J. Lee is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (34 papers), Access Control and Trust (30 papers) and Privacy-Preserving Technologies in Data (20 papers). The work is most often cited by research in Information Systems (380 citations), Artificial Intelligence (543 citations) and Human-Computer Interaction (86 citations). Adam J. Lee has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include William Yurcik, Apu Kapadia, Kiran Lakkaraju, Marianne Winslett, Sameer Patil, Roman Schlegel, Rosta Farzan, Imtiaz Ahmad, Roberto Hoyle and Ragib Hasan. Their work appears in journals such as Journal of the American Medical Informatics Association, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

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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