Ken Rojas

454 citations
15 papers · 340 · h-index 9

Impact in

Papers in

Ken Rojas

15 papers receiving 320 citations

Peers

Ken Rojas
Comparison fields: 5 of 58
  • Water Science and Technology 100
  • Information Systems and Management 43
  • Information Systems 139
  • Computer Networks and Communications 134
  • Geology 24
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Citations per field
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Citations per year

Countries citing papers authored by Ken Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Ken Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012140
2 201137
3 201231
4 201527
5 201122
6 201220
7
Model-As-A-Service (MaaS) Using the Cloud Services Innovation Platform (CSIP)
201415
8 201714
9 20149
10 20138
11
The Cloud Services Innovation Platform – Enabling Service-Based Environmental Modelling Using Infrastructure-as-a-Service Cloud Computing
20126
12 20134
13
Data Provisioning for the Object Modeling System (OMS)
20143
14
An exploratory investigation on the invasiveness of environmental modeling frameworks
20092
15
The Virtual Machine (VM) Scaler: An Infrastructure Manager Supporting Environmental Modeling on IaaS Clouds
20142

About Ken Rojas

Ken Rojas is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Management Science and Operations Research and Software, having authored 15 papers that have together received 340 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Scientific Computing and Data Management (7 papers), Software System Performance and Reliability (6 papers), Distributed and Parallel Computing Systems (5 papers), IoT and Edge/Fog Computing (4 papers), Simulation Techniques and Applications (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Water Science and Technology (100 citations), Information Systems and Management (43 citations), Information Systems (139 citations), Computer Networks and Communications (134 citations) and Geology (24 citations). Ken Rojas has collaborated with scholars based in United States and Germany. Frequent co-authors include Wes Lloyd, O. David, James C. Ascough, Timothy R. Green, G. H. Leavesley, Mazdak Arabi, Lajpat R. Ahuja, Olaf David, Shrideep Pallickara and Sangmi Lee Pallickara. Their work appears in journals such as Environmental Modelling & Software, Future Generation Computer Systems, IEEE Transactions on Cloud Computing, ResearchWorks at the University of Washington (University of Washington) and University of Washington Tacoma Digital Commons (University of Washington Tacoma).

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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