R. E. Johnson

1.5k citations
29 papers · 991 indexed · h-index 15

R. E. Johnson

28 papers receiving 865 citations

Peers

R. E. Johnson
Comparison fields: 5 of 102
  • Software 167
  • Pathology and Forensic Medicine 250
  • Information Systems 297
  • Nephrology 80
  • Hardware and Architecture 49
Replace Alessandro Di Federico with:
Alessandro Di Federico Italy
Carlo Marchetti Italy
Roman Fiedler Germany
Erich Grädel Germany
Mitsuaki Akiyama Japan
Matthew T. Patrick United States
Spyros Potamianos Greece
Linlin Wu China
Shirong Li China
R. E. Johnson relative to Alessandro Di Federico Italy Alessandro Di Federico's profile →
Citations per field
00.5×11.4×
Alessandro Di Federico · 1×
Citations per year

Countries citing papers authored by R. E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200853
2 200631
3 20061
4 200551
5 200511
6 2005136
7 2005104
8 20023
9 199819
10 199712
11 198920
12 198972
13
Symmetry in distributed systems
19871
14 19772
15 19772
16
Patterns of involvement with malignant lymphoma and implications for treatment decision making.
197519
17 1972275
18
Hodgkin's disease: the negative lymphogram in guiding radiotherapy.
196810
19 196726
20
ALGOL programming : a basic approach
19641

About R. E. Johnson

R. E. Johnson is a scholar working on Software, Hardware and Architecture, Pathology and Forensic Medicine, Computer Networks and Communications and Information Systems and Management, having authored 29 papers that have together received 991 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Advanced Software Engineering Methodologies (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Distributed and Parallel Computing Systems (4 papers), Simulation Techniques and Applications (3 papers), Distributed systems and fault tolerance (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Software (167 citations), Pathology and Forensic Medicine (250 citations), Information Systems (297 citations), Nephrology (80 citations) and Hardware and Architecture (49 citations). R. E. Johnson has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include Danny Dig, Alejandra Garrido, Brian Foote, Robert C. Young, V. T. DeVita, Robert W. Sponzo, George P. Canellos, James C. Arseneau, Heather S. Bonner and David L. Levin. Their work appears in journals such as American Journal of Hypertension, Cancer, International Journal of Radiation Oncology*Biology*Physics, Regional Anesthesia & Pain Medicine and IEEE Software.

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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