C. E. Geiss

1.2k total citations
36 papers, 940 citations indexed

About

C. E. Geiss is a scholar working on Atmospheric Science, Molecular Biology and Earth-Surface Processes. According to data from OpenAlex, C. E. Geiss has authored 36 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 22 papers in Molecular Biology and 10 papers in Earth-Surface Processes. Recurrent topics in C. E. Geiss's work include Geology and Paleoclimatology Research (26 papers), Geomagnetism and Paleomagnetism Studies (22 papers) and Geological formations and processes (10 papers). C. E. Geiss is often cited by papers focused on Geology and Paleoclimatology Research (26 papers), Geomagnetism and Paleomagnetism Studies (22 papers) and Geological formations and processes (10 papers). C. E. Geiss collaborates with scholars based in United States, Germany and South Africa. C. E. Geiss's co-authors include C. William Zanner, Subir K. Banerjee, Charles E. Umbanhowar, Ramón Egli, Philip Camill, Hannes Taubenböck, T. Esch, Thomas Kemper, Scott Mooney and Mike Smith and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Earth and Planetary Science Letters.

In The Last Decade

C. E. Geiss

36 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. E. Geiss United States 16 628 460 202 170 157 36 940
David P. Adam United States 19 544 0.9× 228 0.5× 155 0.8× 144 0.8× 52 0.3× 87 1.1k
Zhaoxia Jiang China 17 373 0.6× 273 0.6× 144 0.7× 304 1.8× 24 0.2× 56 887
Shoji HORIE Japan 14 502 0.8× 220 0.5× 113 0.6× 134 0.8× 39 0.2× 53 820
Rong Xiang China 24 1.6k 2.6× 131 0.3× 788 3.9× 106 0.6× 98 0.6× 91 2.0k
Fuqing Jiang China 19 746 1.2× 138 0.3× 359 1.8× 142 0.8× 34 0.2× 43 1.0k
Ziting Liu China 12 361 0.6× 137 0.3× 246 1.2× 21 0.1× 37 0.2× 30 752
Joseph Rosenbaum United States 20 701 1.1× 459 1.0× 249 1.2× 470 2.8× 54 0.3× 54 1.0k
Hsun‐Ming Hu Taiwan 16 473 0.8× 60 0.1× 145 0.7× 32 0.2× 209 1.3× 48 837
Yancheng Zhang China 15 402 0.6× 117 0.3× 161 0.8× 23 0.1× 24 0.2× 29 629

Countries citing papers authored by C. E. Geiss

Since Specialization
Citations

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

Fields of papers citing papers by C. E. Geiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. E. Geiss. 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 C. E. Geiss. The network helps show where C. E. Geiss may publish in the future.

Co-authorship network of co-authors of C. E. Geiss

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

All Works

20 of 20 papers shown
1.
Taubenböck, Hannes, et al.. (2025). Was global urbanization from 1985 to 2015 efficient in terms of land consumption?. Habitat International. 160. 103397–103397. 2 indexed citations
2.
Taubenböck, Hannes, et al.. (2024). Global differences in urbanization dynamics from 1985 to 2015 and outlook considering IPCC climate scenarios. Cities. 151. 105117–105117. 12 indexed citations
3.
Geiss, C. E., et al.. (2018). A thermomagnetic technique to quantify the risk of internal sulfur attack due to pyrrhotite. Cement and Concrete Research. 115. 1–7. 12 indexed citations
4.
Ristow, Oliver, Sven Otto, C. E. Geiss, et al.. (2016). Comparison of auto-fluorescence and tetracycline fluorescence for guided bone surgery of medication-related osteonecrosis of the jaw: a randomized controlled feasibility study. International Journal of Oral and Maxillofacial Surgery. 46(2). 157–166. 43 indexed citations
5.
Kemper, Thomas, et al.. (2016). How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe. Remote Sensing of Environment. 178. 191–212. 99 indexed citations
6.
Umbanhowar, Charles E., et al.. (2016). Diatom assemblages reveal regional-scale differences in lake responses to recent climate change at the boreal-tundra ecotone, Manitoba, Canada. Journal of Paleolimnology. 56(4). 275–298. 12 indexed citations
7.
Umbanhowar, Charles E., et al.. (2015). Lake–landscape connections at the forest–tundra transition of northern Manitoba. Inland Waters. 5(1). 57–74. 10 indexed citations
9.
Geiss, C. E., Ramón Egli, & C. William Zanner. (2008). Direct estimates of pedogenic magnetite as a tool to reconstruct past climates from buried soils. Journal of Geophysical Research Atmospheres. 113(B11). 102 indexed citations
10.
Geiss, C. E., Jeffrey A. Dorale, & Dennis Dahms. (2007). A Rockmagnetic and Palaeomagnetic Record of two Glacial Lakes in the Wind River Range, Wyoming, U.S.A.. AGU Fall Meeting Abstracts. 2007. 4 indexed citations
11.
Guyodo, Yohan, Timothy M. LaPara, Amy J. Anschutz, et al.. (2006). Rock magnetic, chemical and bacterial community analysis of a modern soil from Nebraska. Earth and Planetary Science Letters. 251(1-2). 168–178. 59 indexed citations
12.
Umbanhowar, Charles E., et al.. (2006). Asymmetric vegetation responses to mid-Holocene aridity at the prairie–forest ecotone in south-central Minnesota. Quaternary Research. 66(1). 53–66. 47 indexed citations
13.
Geiss, C. E. & C. William Zanner. (2006). How abundant is pedogenic magnetite? Abundance and grain size estimates for loessic soils based on rock magnetic analyses. Journal of Geophysical Research Atmospheres. 111(B12). 63 indexed citations
14.
Geiss, C. E., et al.. (2005). How small is pedogenic magnetite? Size estimates for loessic soils based on remanence and hysteresis measurements.. AGU Fall Meeting Abstracts. 2005. 1 indexed citations
15.
Geiss, C. E., et al.. (2004). Sediment-magnetic signature of land-use and drought as recorded in lake sediment from south-central Minnesota, USA. Quaternary Research. 62(2). 117–125. 24 indexed citations
16.
Geiss, C. E., et al.. (2004). Signature of magnetic enhancement in a loessic soil in Nebraska, United States of America. Earth and Planetary Science Letters. 228(3-4). 355–367. 51 indexed citations
17.
Mooney, Scott, C. E. Geiss, & Mike Smith. (2003). The use of mineral magnetic parameters to characterize archaeological ochres. Journal of Archaeological Science. 30(5). 511–523. 46 indexed citations
18.
Geiss, C. E. & Santanu Banerjee. (2003). A Holocene-Late Pleistocene geomagnetic inclination record from Grandfather Lake, SW Alaska. Geophysical Journal International. 153(2). 497–507. 14 indexed citations
19.
Geiss, C. E. & Santanu Banerjee. (1999). Comparison of two interglacial records from the midwestern U.S.A.. Physics and Chemistry of the Earth Part A Solid Earth and Geodesy. 24(9). 793–798. 6 indexed citations
20.
Geiss, C. E., Franz Heider, & H. Soffel. (1996). Magnetic domain observations on magnetite and titanomaghemite grains (0.5-10 μm). Geophysical Journal International. 124(1). 75–88. 23 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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