Mac McKee

4.4k citations
114 papers · 3.7k · h-index 34

Impact in

Papers in

Mac McKee

104 papers receiving 3.6k citations

Peers

Mac McKee
Comparison fields: 5 of 129
  • Environmental Engineering 1.9k
  • Water Science and Technology 1.0k
  • Global and Planetary Change 1.2k
  • Geochemistry and Petrology 218
  • Soil Science 297
Replace Bahareh Kalantar with:
Bahareh Kalantar Japan
Huili Gong China
Dong Wang China
Saied Pirasteh China
Kaveh Ostad-Ali-Askari Iran
Seyed Amir Naghibi Iran
T Iype Eldho India
Sayed M. Bateni United States
Hafzullah Aksoy Türkiye
Boris A. Faybishenko United States
Mac McKee relative to Bahareh Kalantar Japan Bahareh Kalantar's profile →
Citations per field
00.5×5×10×15.9×
Bahareh Kalantar · 1×
Citations per year

Countries citing papers authored by Mac McKee

Since Specialization
Citations

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

Fields of papers citing papers by Mac McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006266
2 2005257
3 2015216
4 2006168
5 2010166
6 2015146
7 2005139
8 2005137
9 2018112
10 2018110
11 201690
12 200885
13 200484
14 200578
15 200776
16 201574
17 200866
18 201060
19 201856
20 201353

About Mac McKee

Mac McKee is a scholar working on Environmental Engineering, Global and Planetary Change, Water Science and Technology, Ecology and Ocean Engineering, having authored 114 papers that have together received 3.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (25 papers), Plant Water Relations and Carbon Dynamics (24 papers), Hydrology and Watershed Management Studies (21 papers), Hydrological Forecasting Using AI (19 papers), Remote Sensing and LiDAR Applications (18 papers), Water resources management and optimization (16 papers), Soil Moisture and Remote Sensing (13 papers) and Irrigation Practices and Water Management (10 papers). The work is most often cited by research in Environmental Engineering (1.9k citations), Water Science and Technology (1.0k citations), Global and Planetary Change (1.2k citations), Geochemistry and Petrology (218 citations) and Soil Science (297 citations). Mac McKee has collaborated with scholars based in United States, Spain and Palestinian Territory. Frequent co-authors include Alfonso F. Torres‐Rua, Mariush Kemblowski, Tirusew Asefa, Abedalrazq F. Khalil, M. Kashif Gill, Austin M. Jensen, Leila Hassan-Esfahani, Andres M. Ticlavilca, Wynn R. Walker and Yasir H. Kaheil. Their work appears in journals such as Water Resources Research, Agricultural Water Management, Journal of Irrigation and Drainage Engineering, Remote Sensing and Irrigation Science.

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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