Chris Rorres

2.1k citations
49 papers · 1.5k · h-index 18

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Chris Rorres

46 papers receiving 1.3k citations

Peers

Chris Rorres
Comparison fields: 5 of 156
  • Software 122
  • Information Systems 353
  • Modeling and Simulation 66
  • Artificial Intelligence 331
  • Computer Networks and Communications 210
Replace U. Narayan Bhat with:
U. Narayan Bhat United States
George Psihoyios Portugal
Marcus Frean New Zealand
Hua Zhong China
Francisco Louzada Brazil
Michael Frey United States
Ye Wu China
Gerald Paul United States
Zhiming Zheng China
V. Černý Slovakia
Chris Rorres relative to U. Narayan Bhat United States U. Narayan Bhat's profile →
Citations per field
00.5×3.8×
U. Narayan Bhat · 1×
Citations per year

Countries citing papers authored by Chris Rorres

Since Specialization
Citations

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

Fields of papers citing papers by Chris Rorres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002362
2
Elementary linear algebra : applications version
2000201
3 2000151
4
Elementary linear algebra with applications
198786
5 201580
6 201277
7 197645
8 197542
9 198137
10 198031
11 197928
12
Aljabar Linear Elementer
200528
13 200424
14 201723
15 199921
16 197221
17 201818
18 199718
19 201015
20 200315

About Chris Rorres

Chris Rorres is a scholar working on Biomedical Engineering, Agronomy and Crop Science, Modeling and Simulation, Computer Networks and Communications and Artificial Intelligence, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), COVID-19 epidemiological studies (4 papers), Solar Thermal and Photovoltaic Systems (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Numerical methods in inverse problems (4 papers), Decision Support System Applications (3 papers), Nanofluid Flow and Heat Transfer (3 papers) and Hydraulic and Pneumatic Systems (3 papers). The work is most often cited by research in Software (122 citations), Information Systems (353 citations), Modeling and Simulation (66 citations), Artificial Intelligence (331 citations) and Computer Networks and Communications (210 citations). Chris Rorres has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Howard Anton, Spiros Mancoridis, Brian S. Mitchell, Emden R. Gansner, R. Fischl, Gary Smith, Michael Z. Levy, John S. Brownstein, Ray Boston and Damien O. Joly. Their work appears in journals such as SIAM Journal on Applied Mathematics, Journal of Hydraulic Engineering, Theoretical Population Biology, Epidemics and The Journal of the Acoustical Society of America.

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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