Mitch Schull

409 total citations
6 papers, 109 citations indexed

About

Mitch Schull is a scholar working on Environmental Engineering, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Mitch Schull has authored 6 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 4 papers in Global and Planetary Change and 2 papers in Artificial Intelligence. Recurrent topics in Mitch Schull's work include Plant Water Relations and Carbon Dynamics (4 papers), Urban Heat Island Mitigation (2 papers) and Soil Moisture and Remote Sensing (2 papers). Mitch Schull is often cited by papers focused on Plant Water Relations and Carbon Dynamics (4 papers), Urban Heat Island Mitigation (2 papers) and Soil Moisture and Remote Sensing (2 papers). Mitch Schull collaborates with scholars based in United States, China and Lebanon. Mitch Schull's co-authors include Hadi Jaafar, Jifu Yin, Xiwu Zhan, Jicheng Liu, Martha C. Anderson, Christopher Hain, William P. Kustas, Alfonso F. Torres‐Rua, Yun Yang and Kyle Knipper and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and NASA STI Repository (National Aeronautics and Space Administration).

In The Last Decade

Mitch Schull

5 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitch Schull United States	4	63	63	37	22	21	6	109
Joris Van den Bergh Belgium	6	40 0.6×	111 1.8×	56 1.5×	44 2.0×	10 0.5×	9	165
Javier Díez-Sierra Spain	5	70 1.1×	84 1.3×	64 1.7×	35 1.6×	13 0.6×	12	154
Joost Brombacher Netherlands	4	37 0.6×	40 0.6×	24 0.6×	23 1.0×	33 1.6×	5	94
S. Cherchali France	5	49 0.8×	54 0.9×	45 1.2×	8 0.4×	43 2.0×	14	123
Ezequiel Cimadevilla Spain	4	17 0.3×	112 1.8×	86 2.3×	35 1.6×	14 0.7×	8	152
Fenghua Ling China	7	53 0.8×	69 1.1×	84 2.3×	8 0.4×	5 0.2×	21	144
Yumiko Marina Tanaka da Anunciação Brazil	4	28 0.4×	84 1.3×	77 2.1×	40 1.8×	12 0.6×	4	136
D. Salas France	2	37 0.6×	143 2.3×	60 1.6×	70 3.2×	7 0.3×	3	190
Simon Blessing Germany	7	32 0.5×	117 1.9×	88 2.4×	11 0.5×	19 0.9×	11	149
Hollie Cooper United Kingdom	4	49 0.8×	130 2.1×	95 2.6×	12 0.5×	10 0.5×	6	170

Countries citing papers authored by Mitch Schull

Since Specialization

Citations

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

Fields of papers citing papers by Mitch Schull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitch Schull

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

All Works

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6 of 6 papers shown

1.

Jaafar, Hadi, et al.. (2022). A global 30-m ET model (HSEB) using harmonized Landsat and Sentinel-2, MODIS and VIIRS: Comparison to ECOSTRESS ET and LST. Remote Sensing of Environment. 274. 112995–112995. 39 indexed citations

2.

Fang, Li, Xiwu Zhan, Mitch Schull, et al.. (2021). All-Weather Daily Evapotranspiration Data Product Based on Microwave and Thermal Infrared Satellite Observations. 6451–6454.

3.

Xue, Jie, Martha C. Anderson, Feng Gao, et al.. (2020). Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances. Remote Sensing of Environment. 251. 112055–112055. 41 indexed citations

4.

Zhan, Xiwu, Jicheng Liu, Limin Zhao, et al.. (2019). Integration of Satellite Soil Moisture Observations for Numerical Weather and Water Predictions. EGU General Assembly Conference Abstracts. 4307. 2 indexed citations

5.

Yin, Jifu, Xiwu Zhan, Jicheng Liu, & Mitch Schull. (2019). An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals. Water Resources Research. 55(4). 2572–2592. 24 indexed citations

6.

Hain, Christopher, Martha C. Anderson, Mitch Schull, & Christopher M. U. Neale. (2017). A Framework for Mapping Global Evapotranspiration using 375-m VIIRS LST. NASA STI Repository (National Aeronautics and Space Administration). 2017. 3 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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