Lee Garber

888 citations
49 papers · 532 · h-index 11

Impact in

Papers in

Lee Garber

34 papers receiving 452 citations

Peers

Lee Garber
Comparison fields: 5 of 78
  • Computer Networks and Communications 314
  • Hardware and Architecture 81
  • Signal Processing 98
  • Artificial Intelligence 220
  • Human-Computer Interaction 36
Replace David Kushner with:
David Kushner Italy
S.J. Vaughan-Nichols United States
L.D. Paulson United States
Harri Hakonen Finland
Danny Cohen United States
Peter Quax Belgium
Wim Lamotte Belgium
Robert Laddaga United States
Youngseok Lee South Korea
Antonio Kung Spain
Lee Garber relative to David Kushner Italy David Kushner's profile →
Citations per field
00.5×1.7×
David Kushner · 1×
Citations per year

Countries citing papers authored by Lee Garber

Since Specialization
Citations

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

Fields of papers citing papers by Lee Garber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Lee Garber, 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 Lee Garber Line = papers co-authored together Lee Garber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000251
2 201337
3 200233
4 201327
5 201221
6 199917
7 201114
8 201313
9 201313
10 199712
11
In Pursuit of Hardware-Software Codesign
199811
12 201210
13
Searching for New Search Technologies
19999
14 20129
15 20128
16
Computer Forensics: High-Tech Law Enforcement
20016
17 20125
18 20134
19 20123
20
Polish Students Win Computer Society Design Competition
20012

About Lee Garber

Lee Garber is a scholar working on Computer Networks and Communications, Information Systems, Political Science and International Relations, Law and Signal Processing, having authored 49 papers that have together received 532 indexed citations. Recurring topics across this work include Legal Issues in Education (4 papers), Advanced Malware Detection Techniques (3 papers), Legal Systems and Judicial Processes (3 papers), Advanced Wireless Network Optimization (2 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Data Storage Technologies (2 papers), Legal Education and Practice Innovations (1 paper) and Education Discipline and Inequality (1 paper). The work is most often cited by research in Computer Networks and Communications (314 citations), Hardware and Architecture (81 citations), Signal Processing (98 citations), Artificial Intelligence (220 citations) and Human-Computer Interaction (36 citations). Lee Garber has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Sarah A. Hamilton and Stephen B. Thomas. Their work appears in journals such as Computer, IEEE Security & Privacy, IT Professional, Anesthesiology and Law and Contemporary Problems.

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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