Ron Porter

480 citations
10 papers · 136 · h-index 6

Impact in

Papers in

Ron Porter

10 papers receiving 125 citations

Peers

Ron Porter
Comparison fields: 5 of 47
  • Computer Science Applications 31
  • Ecology 74
  • Developmental Biology 6
  • Software 10
  • Ecological Modeling 8
Replace William Chivers with:
William Chivers Australia
Jeff Gerbracht United States
Juan Antonio Gil Spain
Souheil Selmi France
Julien Barbe France
Franck Pommereau France
William Conner United States
Jonathan von Oppen Sweden
Richard Stark United States
Trevor Renals United Kingdom
Ron Porter relative to William Chivers Australia William Chivers's profile →
Citations per field
00.5×1.5×2.2×
William Chivers · 1×
Citations per year

Countries citing papers authored by Ron Porter

Since Specialization
Citations

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

Fields of papers citing papers by Ron Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200936
2 201524
3
Patterns in learning to program: an experiment?
200422
4
A pattern-based problem-solving process for novice programmers
200315
5
DDE, DDT + dieldrin: residues in American Kestrels and relations to reproduction.
198615
6 20178
7 20185
8 20204
9 20224
10 20163

About Ron Porter

Ron Porter is a scholar working on Nature and Landscape Conservation, Ecology, Computer Science Applications, Control and Systems Engineering and Information Systems, having authored 10 papers that have together received 136 indexed citations. Recurring topics across this work include Avian ecology and behavior (2 papers), Fish Ecology and Management Studies (2 papers), Teaching and Learning Programming (2 papers), Horticultural and Viticultural Research (1 paper), Plant and animal studies (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Landslides and related hazards (1 paper). The work is most often cited by research in Computer Science Applications (31 citations), Ecology (74 citations), Developmental Biology (6 citations), Software (10 citations) and Ecological Modeling (8 citations). Ron Porter has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Paul Calder, Stanley N. Wiemeyer, Gary L. Hensler, Kevin S. Kalasz, Simon Gillings, Jean L. Woods, Ying‐Chi Chan, Noel A. Clark, Paula González and Clive Minton. Their work appears in journals such as The Auk, Flinders Academic Commons (Flinders University) and Journal für Ornithologie.

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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