Michael D. Erickson

641 citations
12 papers · 541 · h-index 9

Impact in

Papers in

Michael D. Erickson

10 papers receiving 494 citations

Peers

Michael D. Erickson
Comparison fields: 5 of 86
  • Biochemistry 59
  • Organic Chemistry 201
  • Nutrition and Dietetics 102
  • Food Science 100
  • Computer Vision and Pattern Recognition 83
Replace Muhammad Ahmad Khan with:
Muhammad Ahmad Khan Pakistan
Xinhao Yang China
Md. Shafiur Rahman Australia
Jaecheol Kim South Korea
James R. Kirk United States
Tong Wu China
Huiwen Yu Denmark
Michael D. Erickson relative to Muhammad Ahmad Khan Pakistan Muhammad Ahmad Khan's profile →
Citations per field
00.5×6.9×
Muhammad Ahmad Khan · 1×
Citations per year

Countries citing papers authored by Michael D. Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Erickson. 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 Michael D. Erickson. The network helps show where Michael D. Erickson may publish in the future.

Co-authors

The 16 scholars most cited alongside Michael D. Erickson, 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 Michael D. Erickson Line = papers co-authored together Michael D. Erickson links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Deep frying: chemistry, nutrition, and practical applications.
1996286
2 200083
3 200064
4 199033
5 199520
6 200017
7 199214
8 198810
9 19959
10
Productivity and cost estimators for conventional ground-based skidding on steep terrain using preplanned skid roads
19914
11
ECONOMIC COMPARISONS OF HAUL ROAD CONSTRUCTION VERSUS FORWARDING VERSUS LONGER SKID DISTANCES
19921
12
Production rates and costs of group-selection harvests with ground-based logging system
19930

About Michael D. Erickson

Michael D. Erickson is a scholar working on Mechanics of Materials, Global and Planetary Change, Computer Networks and Communications, Nature and Landscape Conservation and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 541 indexed citations. Recurring topics across this work include Forest Management and Policy (4 papers), Forest Biomass Utilization and Management (4 papers), Distributed Control Multi-Agent Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Forest ecology and management (3 papers), Forest Ecology and Biodiversity Studies (2 papers), Food Chemistry and Fat Analysis (2 papers) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Biochemistry (59 citations), Organic Chemistry (201 citations), Nutrition and Dietetics (102 citations), Food Science (100 citations) and Computer Vision and Pattern Recognition (83 citations). Michael D. Erickson has collaborated with scholars based in United States. Frequent co-authors include E. G. Perkins, S.A. Stoeter, Maria Gini, Paul E. Rybski, Dean F. Hougen, David D. Reed, Nikolaos Papanikolopoulos, David R. Erickson, K.B. Yesin and Bradley J. Nelson. Their work appears in journals such as Northern Journal of Applied Forestry, IEEE Robotics & Automation Magazine and Elsevier eBooks.

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.

Explore authors with similar magnitude of impact