Ralf Bill

43 papers receiving 889 citations

Ralf Bill's Hit Papers

Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy 2016 · 408 citations
4080+3+6Years since publication100200300400

Peers

Ralf Bill
Comparison fields: 5 of 116
  • Environmental Engineering 302
  • Analytical Chemistry 153
  • Geography, Planning and Development 52
  • Soil Science 61
  • Geology 36
Replace Sanjay Kumar Ghosh with:
Sanjay Kumar Ghosh India
Lei Tian United States
Jinha Jung United States
Quanlong Feng China
Mladen Jurišić Croatia
F. Soto Spain
Dorijan Radočaj Croatia
Roque Torres-Sánchez Spain
Masayuki Hirafuji Japan
Ralf Bill relative to Sanjay Kumar Ghosh India Sanjay Kumar Ghosh's profile →
Citations per field
00.5×6.5×
Sanjay Kumar Ghosh · 1×
Citations per year

Countries citing papers authored by Ralf Bill

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Bill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy
Hit paper breakdown →
2016408
2 200966
3 200652
4 201745
5 200438
6 202232
7 200929
8 201328
9 201928
10
Grundlagen der Geo-Informationssysteme
199425
11 201116
12 201815
13 202015
14 201114
15 200713
16 201212
17 201411
18 20079
19 20119
20 19946

About Ralf Bill

Ralf Bill is a scholar working on Geography, Planning and Development, Ocean Engineering, Electrical and Electronic Engineering, Environmental Engineering and Building and Construction, having authored 50 papers that have together received 936 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (8 papers), Underwater Vehicles and Communication Systems (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Energy Efficient Wireless Sensor Networks (4 papers), Smart Agriculture and AI (4 papers), 3D Modeling in Geospatial Applications (4 papers), Noise Effects and Management (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Environmental Engineering (302 citations), Analytical Chemistry (153 citations), Geography, Planning and Development (52 citations), Soil Science (61 citations) and Geology (36 citations). Ralf Bill has collaborated with scholars based in Germany, United Kingdom and Greece. Frequent co-authors include Jens Wiebensohn, Abdul Mounem Mouazen, Antonios Morellos, Xanthoula-Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, Rebecca L. Whetton, Georgios Tziotzios, Edward Nash and Frank Reichenbach. Their work appears in journals such as Computers and Electronics in Agriculture, International Journal of Remote Sensing, Transactions in GIS, International Journal of Applied Earth Observation and Geoinformation and ISPRS International Journal of Geo-Information.

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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