Michael Goodchild

14 papers receiving 1.3k citations

Michael Goodchild's Hit Papers

Crowdsourcing Geographic Knowledge 2012 · 467 citations
4670+4+9Years since publication100200300400

Peers

Michael Goodchild
Comparison fields: 5 of 116
  • Geography, Planning and Development 531
  • Transportation 251
  • Signal Processing 329
  • Ecological Modeling 104
  • Information Systems and Management 104
Replace Massimo Craglia with:
Massimo Craglia Italy
TIMOTHY L. NYERGES United States
Stefan Steiniger Chile
Alessandro Annoni Italy
Steve H. L. Liang Canada
Barbara Pfeil Buttenfield United States
Marco Minghini Italy
Carlos Granell Spain
Doris Dransch Germany
Frank Ostermann Netherlands
Michael Goodchild relative to Massimo Craglia Italy Massimo Craglia's profile →
Citations per field
00.5×2×2.9×
Massimo Craglia · 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

15 of 15 papers shown
#Work
1
Crowdsourcing Geographic Knowledge
Hit paper breakdown →
2012467
2 2011280
3 1992266
4 2011225
5 200247
6 201340
7 199326
8 200124
9 202223
10 200122
11 200319
12 200916
13 20094
14 20041
15
Beyond Mapping: Meeting National Needs Through Enhanced Geographic Information Science
20061

About Michael Goodchild

Michael Goodchild is a scholar working on Geography, Planning and Development, Building and Construction, Transportation, Signal Processing and Economics and Econometrics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (8 papers), Spatial and Panel Data Analysis (3 papers), Human Mobility and Location-Based Analysis (2 papers), Soil Geostatistics and Mapping (2 papers), Data Management and Algorithms (2 papers), Land Use and Ecosystem Services (2 papers), 3D Modeling in Geospatial Applications (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Geography, Planning and Development (531 citations), Transportation (251 citations), Signal Processing (329 citations), Ecological Modeling (104 citations) and Information Systems and Management (104 citations). Michael Goodchild has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel Z. Sui, Sarah A. Elwood, Stephen M. Wise, Robert Haining, Qunying Huang, Robert G. Raskin, Daniel T. Fay, Myra Bambacus, Yan Xu and Chaowei Phil Yang. Their work appears in journals such as International Journal of Digital Earth, Transactions in GIS, Communications of the ACM, Economic Geography and Journal of Health Care for the Poor and Underserved.

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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