S. Gibbs

1.8k citations
16 papers · 1.1k · 1 hit paper · h-index 11

Impact in

Papers in

S. Gibbs

15 papers receiving 1.0k citations

S. Gibbs's Hit Papers

Concurrency control in groupware systems 1989 · 536 citations
5360+12+24Years since publication100200300400500

Peers

S. Gibbs
Comparison fields: 5 of 56
  • Human-Computer Interaction 423
  • Computer Networks and Communications 613
  • Information Systems 478
  • Information Systems and Management 142
  • Software 53
Replace Mayer D. Schwartz with:
Mayer D. Schwartz United States
Norman Meyrowitz United States
Prasun Dewan United States
Polle T. Zellweger United States
Marc Abrams United States
Moshé M. Zloof United States
Alexander Schill Germany
Keith A. Lantz United States
Paul Calder Australia
A. Ranganathan United States
S. Gibbs relative to Mayer D. Schwartz United States Mayer D. Schwartz's profile →
Citations per field
00.5×7.7×
Mayer D. Schwartz · 1×
Citations per year

Countries citing papers authored by S. Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by S. Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside S. Gibbs, 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 S. Gibbs Line = papers co-authored together S. Gibbs links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Concurrency control in groupware systems
Hit paper breakdown →
1989536
2 1989304
3 198962
4 199854
5 198750
6 198731
7 200031
8 198222
9 199822
10 200217
11 199910
12 19897
13
Design issues of an intelligent workstation for the office
19862
14 19881
15 19861
16 20020

About S. Gibbs

S. Gibbs is a scholar working on Sociology and Political Science, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimedia Communication and Technology (6 papers), Distributed systems and fault tolerance (4 papers), Video Analysis and Summarization (4 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Database Systems and Queries (3 papers), Team Dynamics and Performance (2 papers), Personal Information Management and User Behavior (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Human-Computer Interaction (423 citations), Computer Networks and Communications (613 citations), Information Systems (478 citations), Information Systems and Management (142 citations) and Software (53 citations). S. Gibbs has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Colter Ellis, D. Tsichritzis, Oscar Nierstrasz, Christian Breiteneder, Eugene Fiume, Dimitri Konstantas, Rodger Lea, Fausto Rabitti, John Hogg and Yann Orlarey. Their work appears in journals such as IEEE Multimedia, Computer, ACM Transactions on Information Systems, IEEE Software and IEEE Transactions on Communications.

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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