Michael Goodchild

1.9k citations
13 papers · 1.2k · 1 hit paper · h-index 10

Impact in

Papers in

Michael Goodchild

12 papers receiving 1.1k citations

Michael Goodchild's Hit Papers

Crowdsourcing Geographic Knowledge 2012 · 408 citations
4080+4+9Years since publication100200300400

Peers

Michael Goodchild
Comparison fields: 5 of 115
  • Geography, Planning and Development 434
  • Transportation 208
  • Signal Processing 279
  • Ecological Modeling 99
  • Information Systems and Management 88
Replace Timothy Nyerges with:
Timothy Nyerges United States
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Stefan Steiniger Chile
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Barbara P. Buttenfield United States
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Michael Goodchild relative to Timothy Nyerges United States Timothy Nyerges's profile →
Citations per field
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Timothy Nyerges · 1×
Citations per year

Countries citing papers authored by Michael Goodchild

Since Specialization
Citations

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

Fields of papers citing papers by Michael Goodchild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Crowdsourcing Geographic Knowledge
Hit paper breakdown →
2012408
2 2011235
3 1992232
4 2011194
5 200243
6 201338
7 199325
8 200121
9 202220
10 200314
11
Accuracy and spatial resolution: critical dimensions for geoprocessing.
19824
12
Beyond Mapping: Meeting National Needs Through Enhanced Geographic Information Science
20062
13 20041

About Michael Goodchild

Michael Goodchild is a scholar working on Geography, Planning and Development, Building and Construction, Signal Processing, Transportation and Computer Networks and Communications, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (8 papers), Data Management and Algorithms (2 papers), Human Mobility and Location-Based Analysis (2 papers), 3D Modeling in Geospatial Applications (2 papers), Scientific Computing and Data Management (1 paper), Obesity, Physical Activity, Diet (1 paper), Automated Road and Building Extraction (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Geography, Planning and Development (434 citations), Transportation (208 citations), Signal Processing (279 citations), Ecological Modeling (99 citations) and Information Systems and Management (88 citations). Michael Goodchild has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Sarah Elwood, Daniel Z. Sui, Stephen Wise, Robert Haining, Qunying Huang, Myra Bambacus, Doug Nebert, Yan Xu, Chaowei Yang and R. Raskin. Their work appears in journals such as International Journal of Digital Earth, Economic Geography, Geographical Journal, Journal of Health Care for the Poor and Underserved and D-Lib Magazine.

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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