Charles G. Hoch

816 citations
16 papers · 434 indexed · h-index 6
Topics
Distributed systems and fault tolerance (6 papers)Formal Methods in Verification (5 papers)Parallel Computing and Optimization Techniques (3 papers)
Partner nations
United States

In The Last Decade

Charles G. Hoch

16 papers receiving 368 citations

Peers

Charles G. Hoch
Comparison fields: 5 of 24
  • Computer Networks and Communications 339
  • Artificial Intelligence 267
  • Signal Processing 176
  • Information Systems 120
  • Hardware and Architecture 50
Replace M.E. Segal with:
M.E. Segal United States
Roger R. Schell United States
Mukund Raghavachari United States
Véronique Benzaken France
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A. Kemper Germany
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Charles G. Hoch relative to M.E. Segal United States M.E. Segal's profile →
Citations per field
00.5×2.9×
M.E. Segal · 1×
Citations per year

Countries citing papers authored by Charles G. Hoch

Since Specialization
Citations

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

Fields of papers citing papers by Charles G. Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles G. Hoch. 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 Charles G. Hoch. The network helps show where Charles G. Hoch may publish in the future.

Co-authorship network of co-authors of Charles G. Hoch

This figure shows the co-authorship network connecting the top 25 collaborators of Charles G. Hoch. A scholar is included among the top collaborators of Charles G. Hoch 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 Charles G. Hoch. Charles G. Hoch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4
Preliminary Report on (Active) View Materialization in GUI Programming.
1
5 9
6
Overview of the IRIS DBMS
48
7
IRIS: an object-oriented database management system
244
8 2
9 1
10
Hardware support for modern software concepts.
1
11 3
12 5
13 34
14 67
15 2
16 12

About Charles G. Hoch

Charles G. Hoch is a scholar working on Software, Hardware and Architecture and Computer Networks and Communications, having authored 16 papers that have together received 434 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Formal Methods in Verification (5 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Signal Processing (176 citations), Computer Networks and Communications (339 citations) and Software (37 citations). Charles G. Hoch has collaborated with scholars based in United States. Frequent co-authors include Allen L. Ambler, Peter Lyngbæk, David Beech, James W. Davis, William Kent, M.-C. Shan, Daniel Fishman, M.-A. Neimat, Nigel Derrett and Terrance E. Conners. Their work appears in journals such as ACM SIGMOD Record, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.

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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