Mark A. Lavin

862 citations
19 papers · 622 · h-index 10

Impact in

Papers in

Mark A. Lavin

19 papers receiving 582 citations

Peers

Mark A. Lavin
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 325
  • Industrial and Manufacturing Engineering 134
  • Computer Graphics and Computer-Aided Design 36
  • Media Technology 76
  • Hardware and Architecture 46
Replace Yu‐Cheng Fan with:
Yu‐Cheng Fan Taiwan
Jen‐Shiun Chiang Taiwan
Young‐Ho Choi South Korea
Tae-Hyoung Park South Korea
Krzysztof Okarma Poland
Francisco Blanes Spain
Christian Frese Germany
Paul Zsombor-Murray Canada
R.L. Grimsdale United Kingdom
B. Faverjon France
Mark A. Lavin relative to Yu‐Cheng Fan Taiwan Yu‐Cheng Fan's profile →
Citations per field
00.5×5.4×
Yu‐Cheng Fan · 1×
Citations per year

Countries citing papers authored by Mark A. Lavin

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Lavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1986222
2 1980135
3 200157
4 198537
5 198835
6 198632
7 200421
8 198619
9 199418
10 198215
11 20028
12
Structured Process: A New Language Attribute for Better Interaction of Parallel Architecture and Algorithm.
19855
13 20034
14 20164
15
An Application of Line-labeling and other Scene-analysis Techniques to the Problem of Hidden-line Removal
19743
16 20163
17 19992
18 20171
19
The Gloss of Glossy Things
19731

About Mark A. Lavin

Mark A. Lavin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 19 papers that have together received 622 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Advancements in Photolithography Techniques (4 papers), Image and Object Detection Techniques (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Robot Manipulation and Learning (2 papers), Image Processing and 3D Reconstruction (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (325 citations), Industrial and Manufacturing Engineering (134 citations), Computer Graphics and Computer-Aided Design (36 citations), Media Technology (76 citations) and Hardware and Architecture (46 citations). Mark A. Lavin has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Hungwen Li, M. A. Wesley, Tomás Lozano‐Pérez, D. Grossman, Russell H. Taylor, Lars W. Liebmann, Ralph Hollis, Massimo Maresca, Alfred K. K. Wong and Scott Mansfield. Their work appears in journals such as IBM Journal of Research and Development, American Journal of Infection Control, Proceedings of the IEEE, The International Journal of Robotics Research and Computer Vision Graphics and Image Processing.

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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