Steven Hofmeyr

6.7k citations
52 papers · 3.8k indexed · 4 hit papers · h-index 22

Steven Hofmeyr

50 papers receiving 3.4k citations

Hit Papers

A sense of self for Unix processes5481997202620062016250500750

Peers

Steven Hofmeyr
Comparison fields: 5 of 112
  • Signal Processing 1.4k
  • Computer Networks and Communications 2.5k
  • Hardware and Architecture 377
  • Artificial Intelligence 1.5k
  • Information Systems 761
Replace Anil Somayaji with:
Anil Somayaji Canada
Norman W. Paton United Kingdom
Bo Luo United States
Saurabh Bagchi United States
Chen Li United States
Haim Kaplan Israel
Panos Kalnis Saudi Arabia
Yanjun Qi United States
Sheng Wen Australia
Arlindo L. Oliveira Portugal
Steven Hofmeyr relative to Anil Somayaji Canada Anil Somayaji's profile →
Citations per field
00.5×1.5×2.0×
Anil Somayaji · 1×
Citations per year

Countries citing papers authored by Steven Hofmeyr

Since Specialization
Citations

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

Fields of papers citing papers by Steven Hofmeyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20235
4 202121
5 202013
6 202027
7 202031
8 202026
9 20201
10 201926
11 20186
12 20174
13
Hype and Heavy Tails: A Closer Look at Data Breaches.
20156
14 201548
15 201331
16 20122
17 201031
18
Tessellation: space-time partitioning in a manycore client OS
200970
19
Immunity by design: an artificial immune system
1999195
20
Analogies with immunology represent an important step toward the vision of robust, distributed protection for computers.
19971

About Steven Hofmeyr

Steven Hofmeyr is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 52 papers that have together received 3.8k indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (14 papers), Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (12 papers), Network Security and Intrusion Detection (11 papers), Genomics and Phylogenetic Studies (11 papers), Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (9 papers) and Algorithms and Data Compression (7 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computer Networks and Communications (2.5k citations) and Hardware and Architecture (377 citations). Steven Hofmeyr has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Stephanie Forrest, Anil Somayaji, Thomas A. Longstaff, Costin Iancu, Ben Edwards, Khaled Z. Ibrahim, Filip Blagojević, Eric Roman, John Kubiatowicz and Leonid Oliker. Their work appears in journals such as Scientific Reports, Communications of the ACM and BMC Bioinformatics.

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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