Michael J. Mineter

430 total citations
19 papers, 300 citations indexed

About

Michael J. Mineter is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Networks and Communications. According to data from OpenAlex, Michael J. Mineter has authored 19 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 5 papers in Computer Networks and Communications. Recurrent topics in Michael J. Mineter's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (5 papers) and Distributed and Parallel Computing Systems (5 papers). Michael J. Mineter is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (5 papers) and Distributed and Parallel Computing Systems (5 papers). Michael J. Mineter collaborates with scholars based in United Kingdom, Australia and Kazakhstan. Michael J. Mineter's co-authors include Simon F. B. Tett, Coralia Cartis, Nicholas R. J. Hulton, Claire H. Jarvis, Nicolas Freychet, Mike Rivington, Kuniko Yamazaki, Gabriele C. Hegerl, Ping Liu and Sarah E. Metcalfe and has published in prestigious journals such as Journal of Climate, Bulletin of the American Meteorological Society and Climatic Change.

In The Last Decade

Michael J. Mineter

19 papers receiving 285 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Mineter United Kingdom 14 144 137 44 38 29 19 300
Lianchong Zhang China 9 88 0.6× 195 1.4× 24 0.5× 31 0.8× 30 1.0× 27 435
Baoxuan Jin China 11 40 0.3× 108 0.8× 50 1.1× 68 1.8× 27 0.9× 27 353
Shrutilipi Bhattacharjee India 10 103 0.7× 191 1.4× 23 0.5× 9 0.2× 22 0.8× 40 368
Alaitz Zabala Spain 13 45 0.3× 136 1.0× 44 1.0× 28 0.7× 67 2.3× 43 458
Christopher Lynnes United States 12 67 0.5× 68 0.5× 35 0.8× 37 1.0× 32 1.1× 58 468
Jean-Philippe Richard Switzerland 7 51 0.4× 112 0.8× 24 0.5× 21 0.6× 48 1.7× 9 289
Tiina Kilpeläinen Finland 10 162 1.1× 119 0.9× 79 1.8× 19 0.5× 84 2.9× 16 281
Matthew B.J. Purss Australia 10 25 0.2× 74 0.5× 63 1.4× 37 1.0× 47 1.6× 19 259
Lingjun Kang United States 13 112 0.8× 242 1.8× 14 0.3× 17 0.4× 25 0.9× 23 440
Stuart Minchin Australia 6 52 0.4× 112 0.8× 28 0.6× 18 0.5× 39 1.3× 10 279

Countries citing papers authored by Michael J. Mineter

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Mineter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Mineter

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Mineter. A scholar is included among the top collaborators of Michael J. Mineter 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 Michael J. Mineter. Michael J. Mineter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Schurer, Andrew, Gabriele C. Hegerl, Hugues Goosse, et al.. (2023). Quantifying the contribution of forcing and three prominent modes of variability to historical climate. Climate of the past. 19(5). 943–957. 3 indexed citations
2.
Tett, Simon F. B., et al.. (2022). Does Model Calibration Reduce Uncertainty in Climate Projections?. Journal of Climate. 35(8). 2585–2602. 17 indexed citations
3.
Xu, Dongyang, et al.. (2019). Using Statistical Models and Machine Learning Techniques to Process Big Data from the Forth Road Bridge. Edinburgh Research Explorer (University of Edinburgh). 411–419. 3 indexed citations
4.
Freychet, Nicolas, Sarah Sparrow, Simon F. B. Tett, et al.. (2018). Impacts of Anthropogenic Forcings and El Niño on Chinese Extreme Temperatures. Advances in Atmospheric Sciences. 35(8). 994–1002. 19 indexed citations
5.
Tett, Simon F. B., et al.. (2018). Anthropogenic Forcings and Associated Changes in Fire Risk in Western North America and Australia During 2015/16. Bulletin of the American Meteorological Society. 99(1). S60–S64. 14 indexed citations
6.
Tett, Simon F. B., et al.. (2017). Calibrating climate models using inverse methods: case studies with HadAM3, HadAM3P and HadCM3. Geoscientific model development. 10(9). 3567–3589. 16 indexed citations
7.
Roach, Lettie A., et al.. (2017). Automated parameter tuning applied to sea ice in a global climate model. Climate Dynamics. 50(1-2). 51–65. 9 indexed citations
8.
Rivington, Mike, et al.. (2014). “Agro-meteorological indices and climate model uncertainty over the UK”. Climatic Change. 128(1-2). 113–126. 25 indexed citations
9.
Tett, Simon F. B., et al.. (2013). Can Top-of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part I: Tuning. Journal of Climate. 26(23). 9348–9366. 18 indexed citations
10.
Tett, Simon F. B., et al.. (2013). Can Top-of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part II: Climate Sensitivity. Journal of Climate. 26(23). 9367–9383. 21 indexed citations
11.
Mineter, Michael J., et al.. (2003). Towards use of grids in environmental research, management and policy. International Journal of Environment and Pollution. 20(1/2/3/4/5/6). 297–297. 3 indexed citations
12.
Mineter, Michael J., et al.. (2003). From stand-alone programs towards grid-aware services and components: a case study in agricultural modelling with interpolated climate data. Environmental Modelling & Software. 18(4). 379–391. 29 indexed citations
13.
Mineter, Michael J.. (2003). A software framework to create vector-topology in parallel GIS operations. International Journal of Geographical Information Systems. 17(3). 203–222. 16 indexed citations
14.
Mineter, Michael J., et al.. (2001). Parallel processing for finite-difference modelling of ice sheets. Computers & Geosciences. 27(7). 829–838. 4 indexed citations
15.
Metcalfe, Sarah E., Duncan Whyatt, Richard K. Broughton, et al.. (2001). Developing the Hull Acid Rain Model: its validation and implications for policy makers. Environmental Science & Policy. 4(1). 25–37. 27 indexed citations
16.
Mineter, Michael J., et al.. (2000). Towards a framework for high-performance geocomputation: handling vector-topology within a distributed service environment. Computers Environment and Urban Systems. 24(5). 471–486. 19 indexed citations
17.
Mineter, Michael J., et al.. (2000). Towards a HPC Framework for Integrated Processing of Geographical Data: Encapsulating the Complexity of Parallel Algorithms. Transactions in GIS. 4(3). 245–261. 16 indexed citations
18.
Hulton, Nicholas R. J. & Michael J. Mineter. (2000). Modelling self-organization in ice streams. Annals of Glaciology. 30. 127–136. 21 indexed citations
19.
Mineter, Michael J., et al.. (1999). Parallel processing for geographical applications: A layered approach. Journal of Geographical Systems. 1(1). 61–74. 20 indexed citations

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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