M.E. Segal

533 citations
17 papers · 351 indexed · h-index 8

Impact in

Papers in

    • Software Reliability and Analysis Research 2
    • Distributed systems and fault tolerance 6
    • Software System Performance and Reliability 5
    • Network Traffic and Congestion Control 3

M.E. Segal

16 papers receiving 289 citations

Peers

M.E. Segal
Comparison fields: 5 of 30
  • Computer Networks and Communications 240
  • Hardware and Architecture 69
  • Software 36
  • Artificial Intelligence 208
  • Information Systems 145
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Citations per year

Countries citing papers authored by M.E. Segal

Since Specialization
Citations

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

Fields of papers citing papers by M.E. Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Segal. 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 M.E. Segal. The network helps show where M.E. Segal may publish in the future.

Co-authorship network

The 13 scholars most cited alongside M.E. Segal, 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 M.E. Segal Line = papers co-authored together M.E. Segal links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200310
2 20037
3 20021
4 20005
5
On preventing intrusions by process behavior monitoring
199958
6 1993116
7
Extending dynamic program updating systems to support distributed systems that communicate via remote evaluation
19921
8 199213
9 199173
10 199129
11 19901
12
Dynamic program modification in telecommunications systems
19894
13 198919
14 19891
15
Dynamically Up-dating Distributed Software : Supporting Change in Uncertain and Mistrustful Environments
19892
16
On the Performance of Copying Large Files Across a Contention-Based Network
19892
17 19889

About M.E. Segal

M.E. Segal is a scholar working on Software, Computer Networks and Communications, Hardware and Architecture, Signal Processing and Information Systems, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Software System Performance and Reliability (5 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Software Engineering Methodologies (3 papers), Network Traffic and Congestion Control (3 papers), Advanced Malware Detection Techniques (3 papers), Software Reliability and Analysis Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Hardware and Architecture (69 citations), Software (36 citations), Artificial Intelligence (208 citations) and Information Systems (145 citations). M.E. Segal has collaborated with scholars based in United States. Frequent co-authors include Ophir Frieder, R. Sekar, Mandyam M. Srinivasan, Toby J. Teorey, Gary Herman, M.P. Vecchi, Peter Bates, A. Weinrib, W.E. Leland and G. Gopal. Their work appears in journals such as IEEE Software, ACM SIGCOMM Computer Communication Review, Journal of Systems and Software, IEEE Journal on Selected Areas in Communications and Journal of Software Maintenance Research and Practice.

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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