Thomas K. Maycock
- Global and Planetary Change top 5%
- Sociology and Political Science top 5%
- Environmental Engineering top 5%
- Economics and Econometrics top 5%
- Atmospheric Science top 10%
- Co-authors
- Valérie Masson‐DelmottePanmao ZhaiWilfran Moufouma‐OkiaHans‐Otto PörtnerJim SkeaMelissa GomisMelinda TignorStephen R. Connors
- Topics
- Data Quality and Management (2 papers)Research Data Management Practices (2 papers)Big Data and Business Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Thomas K. Maycock
5 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Global and Planetary Change 541
- Sociology and Political Science 252
- Environmental Engineering 228
- Economics and Econometrics 228
- Atmospheric Science 211
Countries citing papers authored by Thomas K. Maycock
This map shows the geographic impact of Thomas K. Maycock'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 Thomas K. Maycock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas K. Maycock more than expected).
Fields of papers citing papers by Thomas K. Maycock
This network shows the impact of papers produced by Thomas K. Maycock. 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 Thomas K. Maycock. The network helps show where Thomas K. Maycock may publish in the future.
Co-authorship network of co-authors of Thomas K. Maycock
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas K. Maycock. A scholar is included among the top collaborators of Thomas K. Maycock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas K. Maycock. Thomas K. Maycock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change,sustainable development, and efforts to eradicate povertybreakdown → | 1568 |
| 3 | 10 | |
| 4 | U.S. GLOBAL CHANGE RESEARCH PROGRAM CLIMATE SCIENCE SPECIAL REPORT (CSSR) | 29 |
| 5 | 22 |
About Thomas K. Maycock
Thomas K. Maycock is a scholar working on Management Science and Operations Research, Information Systems and Management and Management Information Systems, having authored 5 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Quality and Management (2 papers), Research Data Management Practices (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Global and Planetary Change (541 citations), Environmental Engineering (228 citations) and Health, Toxicology and Mutagenesis (175 citations). Thomas K. Maycock has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Valérie Masson‐Delmotte, Panmao Zhai, Wilfran Moufouma‐Okia, Hans‐Otto Pörtner, Jim Skea, Melissa Gomis, Melinda Tignor, Stephen R. Connors, Anna Pirani and Roz Pidcock. Their work appears in journals such as Journal of the Air & Waste Management Association, D-Lib Magazine and Data Science Journal.
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.