Larry D. Merkle

3.5k citations
149 papers · 2.7k indexed · h-index 28

Larry D. Merkle

138 papers receiving 2.6k citations

Peers

Larry D. Merkle
Comparison fields: 5 of 113
  • Ceramics and Composites 596
  • Computer Science Applications 240
  • Atomic and Molecular Physics, and Optics 999
  • Materials Chemistry 1.4k
  • Electrical and Electronic Engineering 1.2k
Replace Xueru Zhang with:
Xueru Zhang China
M. Moser Switzerland
Tor A. Fjeldly Norway
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Citations per field
00.5×10×15×18.5×
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Citations per year

Countries citing papers authored by Larry D. Merkle

Since Specialization
Citations

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

Fields of papers citing papers by Larry D. Merkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry D. Merkle. 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 Larry D. Merkle. The network helps show where Larry D. Merkle may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20234
4 20231
5 20217
6
Space Object Identification using Deep Neural Networks
20185
7 201159
8 201065
9 200931
10 200841
11 20073
12 20071
13 200611
14 20047
15
Highly scalable high repetition rate Nd:YAG laser based on coherent beam coupling
20031
16
Evolution of an introductory computer science course: the long haul
20022
17
A Random Function Based Framework for Evolutionary Algorithms.
19972
18
Case Studies in Protein Structure Prediction with Real-valued Genetic Algorithms.
19973
19
Comparison of Parallel Messy Genetic Algorithm Data Distribution Strategies
19938
20
Growth and hardening of alkali halides for use in infrared laser windows
19742

About Larry D. Merkle

Larry D. Merkle is a scholar working on Ceramics and Composites, Acoustics and Ultrasonics and Computer Science Applications, having authored 149 papers that have together received 2.7k indexed citations. Recurring topics across this work include Solid State Laser Technologies (77 papers), Luminescence Properties of Advanced Materials (47 papers), Glass properties and applications (33 papers), Laser Design and Applications (21 papers), Advanced Fiber Laser Technologies (20 papers), Teaching and Learning Programming (16 papers), Photorefractive and Nonlinear Optics (15 papers) and Experimental Learning in Engineering (12 papers). The work is most often cited by research in Ceramics and Composites (596 citations), Computer Science Applications (240 citations) and Atomic and Molecular Physics, and Optics (999 citations). Larry D. Merkle has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Mark Dubinskii, Ian L. Spain, Barry Fagin, Jing Hu, Carmen S. Menoni, Richard C. Powell, Horacio R. Verdún, Bruce McIntosh, R. Moncorgé and Bahram Zandi.

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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