Jacob R. Lorch

5.3k total citations · 1 hit paper
51 papers, 3.7k citations indexed

About

Jacob R. Lorch is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Jacob R. Lorch has authored 51 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 15 papers in Artificial Intelligence. Recurrent topics in Jacob R. Lorch's work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (15 papers) and Peer-to-Peer Network Technologies (11 papers). Jacob R. Lorch is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (15 papers) and Peer-to-Peer Network Technologies (11 papers). Jacob R. Lorch collaborates with scholars based in United States, United Kingdom and Canada. Jacob R. Lorch's co-authors include Alan Jay Smith, John R. Douceur, William J. Bolosky, Thomas E. Anderson, Drew Roselli, Jon Howell, Ronnie Chaiken, Atul Adya, Sharad Agarwal and Marvin Theimer and has published in prestigious journals such as Communications of the ACM, Pattern Recognition and IEEE Transactions on Computers.

In The Last Decade

Jacob R. Lorch

51 papers receiving 3.4k citations

Hit Papers

Farsite 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Jacob R. Lorch
Comparison fields: 5 of 94
  • Computer Networks and Communications 2.6k
  • Information Systems 1.1k
  • Artificial Intelligence 899
  • Hardware and Architecture 892
  • Electrical and Electronic Engineering 534
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Citations per field, relative to Jacob R. Lorch
Jacob R. Lorch · 1×
Citations per year, relative to Jacob R. Lorch
Jacob R. Lorch · 1×

Countries citing papers authored by Jacob R. Lorch

Since Specialization
Citations

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

Fields of papers citing papers by Jacob R. Lorch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob R. Lorch. 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 Jacob R. Lorch. The network helps show where Jacob R. Lorch may publish in the future.

Co-authorship network of co-authors of Jacob R. Lorch

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob R. Lorch. A scholar is included among the top collaborators of Jacob R. Lorch 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 Jacob R. Lorch. Jacob R. Lorch 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
# Work Indexed citations
1 1
2 3
3
Vale: Verifying High-Performance Cryptographic Assembly Code
31
4 10
5
Tardigrade: leveraging lightweight virtual machines to easily and efficiently construct fault-tolerant services
12
6 154
7 99
8 43
9 8
10
Enabling security in cloud storage SLAs with CloudProof
157
11
The utility coprocessor: massively parallel computation from the coffee shop
3
12
TrInc: small trusted hardware for large distributed systems
113
13
A five-year study of file-system metadata
13
14
Scaling Peer-to-Peer Games in Low-Bandwidth Environments.
17
15 245
16 309
17 1
18
A comparison of file system workloads
350
19 182
20
Energy Consumption of Apple Macintosh Computers
2

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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