Kalman Meth

700 citations
17 papers · 306 · h-index 10

Impact in

Papers in

Kalman Meth

17 papers receiving 279 citations

Peers

Kalman Meth
Comparison fields: 5 of 29
  • Hardware and Architecture 75
  • Computer Networks and Communications 254
  • Information Systems 118
  • Software 14
  • Computational Theory and Mathematics 32
Replace Xavier Rousset de Pina with:
Xavier Rousset de Pina France
Antonio Lain United States
C. L. McCreary United States
Liba Svobodova Switzerland
Marcos K. Aguilera India
Zhangxi Tan China
Sacha Krakowiak France
Jason Poovey United States
Zbigniew Chamski United Kingdom
Jan-Willem Maessen United States
Kalman Meth relative to Xavier Rousset de Pina France Xavier Rousset de Pina's profile →
Citations per field
00.5×11×
Xavier Rousset de Pina · 1×
Citations per year

Countries citing papers authored by Kalman Meth

Since Specialization
Citations

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

Fields of papers citing papers by Kalman Meth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200668
2 200945
3 200344
4 198725
5 202118
6 200318
7 200317
8 202115
9 198813
10 201712
11 20029
12
Specifying and Analyzing Protocols with SPANNER.
19865
13
iSCSI (Internet SCSI)
20005
14 20104
15 19943
16 20173
17 20162

About Kalman Meth

Kalman Meth is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Cloud Computing and Resource Management (3 papers), Caching and Content Delivery (3 papers), Distributed systems and fault tolerance (3 papers), Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Logic, programming, and type systems (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (75 citations), Computer Networks and Communications (254 citations), Information Systems (118 citations), Software (14 citations) and Computational Theory and Mathematics (32 citations). Kalman Meth has collaborated with scholars based in Israel, United States and Greece. Frequent co-authors include J. Satran, Dalit Naor, Michael Factor, Daniel Barbará, Ohad Rodeh, Shubhani Aggarwal, Ronen I. Kat, Kaladhar Voruganti, Prasenjit Sarkar and Vasileios Theodorou. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Grid Computing, SIAM Journal on Numerical Analysis, IEEE Communications Magazine and IEEE Transactions on Cloud Computing.

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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