Monica S. Lam

23.2k citations
218 papers · 14.6k indexed · 5 hit papers · h-index 61
Topics
Parallel Computing and Optimization Techniques (95 papers)Distributed and Parallel Computing Systems (43 papers)Advanced Data Storage Technologies (34 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Monica S. Lam

213 papers receiving 13.1k citations

Hit Papers

A data locality optimizing algorithm199120262002201419911992199220022005250500750

Peers

Monica S. Lam
Comparison fields: 5 of 154
  • Hardware and Architecture 8.7k
  • Computer Networks and Communications 8.5k
  • Artificial Intelligence 3.8k
  • Information Systems 3.8k
  • Software 2.2k
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Citations per field
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Citations per year

Countries citing papers authored by Monica S. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Monica S. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica S. Lam. 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 Monica S. Lam. The network helps show where Monica S. Lam may publish in the future.

Co-authorship network of co-authors of Monica S. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Monica S. Lam. A scholar is included among the top collaborators of Monica S. Lam 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 Monica S. Lam. Monica S. Lam 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 3
2 2
3 2
4 0
5 9
6 2
7 17
8
Processing Email Archives in Special Collections.
1
9
Automatic generation of XSS and SQL injection attacks with goal-directed model checking
93
10
Compilers: Principles, Techniques, and Tools (2nd Edition)
237
11
A practical dynamic buffer overflow detector
206
12
Factors Affecting Internet Banking Activities: A Case Study of a Community Bank
3
13
Transparent fault tolerance for parallel applications on networks of workstations
15
14
A Method and Apparatus for Measurung media Synchronization
3
15 138
16 14
17
Automatic Blocking by a Compiler
4
18
Share Data Placement Optimizations to Reduce Multiprocessor Cache Miss Rates.
54
19 488
20 102

About Monica S. Lam

Monica S. Lam is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 218 papers that have together received 14.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (95 papers), Distributed and Parallel Computing Systems (43 papers) and Advanced Data Storage Technologies (34 papers). The work is most often cited by research in Hardware and Architecture (8.7k citations), Software (2.2k citations) and Computer Networks and Communications (8.5k citations). Monica S. Lam has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael E. Wolf, Robert P. Wilson, John Whaley, Sudheendra Hangal, V. Benjamin Livshits, Saman Amarasinghe, Jennifer M. Anderson, Todd C. Mowry, Michael C. Martin and Anoop Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Autism and Developmental Disorders.

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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