Mark Greenwood

2.6k citations
55 papers · 1.9k indexed · 1 hit paper · h-index 22

Mark Greenwood

52 papers receiving 1.9k citations

Hit Papers

Nonparametric Functional Data Analysis: Theory and Practice5282007202620132019100200300400500

Peers

Mark Greenwood
Comparison fields: 5 of 169
  • Statistics and Probability 355
  • Pathology and Forensic Medicine 397
  • Ecology 336
  • Rheumatology 197
  • Atmospheric Science 200
Replace Giampiero Marra with:
Giampiero Marra United Kingdom
Alysha De Livera Australia
Eugene F. Schuster United States
Avner Bar‐Hen France
Silke Szymczak Germany
Pat Brown United States
Michael Hooper United States
Ying Ying China
Samuel Müller Australia
Mark Greenwood relative to Giampiero Marra United Kingdom Giampiero Marra's profile →
Citations per field
00.5×10.2×
Giampiero Marra · 1×
Citations per year

Countries citing papers authored by Mark Greenwood

Since Specialization
Citations

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

Fields of papers citing papers by Mark Greenwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 202213
4 20210
5 202138
6 20181
7 201888
8 2017201
9 201731
10 20164
11
Statistical methods for detecting groups of patterns in daily step count activity profiles
20161
12 201639
13
Simpson's Paradox and Causality
20152
14 201423
15 201344
16 201127
17 2010145
18 201014
19 201047
20 200316

About Mark Greenwood

Mark Greenwood is a scholar working on Ecology, General Decision Sciences and Pathology and Forensic Medicine, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Polar Research and Ecology (6 papers), Wildlife-Road Interactions and Conservation (3 papers), Microbial Community Ecology and Physiology (3 papers), Food Supply Chain Traceability (3 papers), Cryospheric studies and observations (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Statistics and Probability (355 citations), Pathology and Forensic Medicine (397 citations) and Ecology (336 citations). Mark Greenwood has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bibiana Bielekova, Christine M. Foreman, Markus Dieser, Kory Johnson, Ann Marie Weideman, Johnnie N. Moore, J. T. Harper, Rick L. Lawrence, Lucy Marshall and Péter Kósa.

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

Rankless by CCL
2026