Mel Woods

28 papers receiving 322 citations

Peers

Mel Woods
Comparison fields: 5 of 89
  • Ecological Modeling 49
  • Human-Computer Interaction 53
  • Information Systems and Management 55
  • Management of Technology and Innovation 43
  • Computer Science Applications 23
Replace Susana Nascimento with:
Susana Nascimento Belgium
Enric Senabre Hidalgo Spain
Artemis Skarlatidou United Kingdom
Drew Hemment United Kingdom
Bronwyn Cumbo Australia
Mara Balestrini United Kingdom
R.J. Honicky United States
Scout Calvert United States
Justin Longo Canada
Dietmar Offenhuber United States
Mel Woods relative to Susana Nascimento Belgium Susana Nascimento's profile →
Citations per field
00.5×3.4×
Susana Nascimento · 1×
Citations per year

Countries citing papers authored by Mel Woods

Since Specialization
Citations

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

Fields of papers citing papers by Mel Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 202032
3 202124
4 201822
5 201821
6 201520
7 201917
8 201815
9 201813
10 202111
11 198710
12 20229
13 20208
14 20128
15 20207
16
Modernizing Environmental Justice: Regulation and the Role of an Environmental Tribunal
20034
17 20124
18 20243
19 20133
20 19833

About Mel Woods

Mel Woods is a scholar working on Human-Computer Interaction, Ecological Modeling, Information Systems and Management, Management of Technology and Innovation and Computer Science Applications, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (8 papers), Species Distribution and Climate Change (7 papers), Innovative Approaches in Technology and Social Development (4 papers), Precipitation Measurement and Analysis (3 papers), Soil Moisture and Remote Sensing (3 papers), Scientific Computing and Data Management (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Ecological Modeling (49 citations), Human-Computer Interaction (53 citations), Information Systems and Management (55 citations), Management of Technology and Innovation (43 citations) and Computer Science Applications (23 citations). Mel Woods has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Sarah Sharples, Deborah Maxwell, Stephann Makri, Ann Blandford, Drew Hemment, Raquel Ajates, Gerid Hager, Mara Balestrini, Angelika Xaver and Luca Zappa. Their work appears in journals such as Journal of the Association for Information Science and Technology, European Journal of Remote Sensing, Sensors, Frontiers in Communication and Sustainability.

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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