G. Kateman

124 papers receiving 2.9k citations

Peers

G. Kateman
Comparison fields: 5 of 155
  • Analytical Chemistry 1.6k
  • Spectroscopy 1.0k
  • Industrial and Manufacturing Engineering 463
  • Biophysics 254
  • Computational Mathematics 25
Replace Sarah C. Rutan with:
Sarah C. Rutan United States
Paul J. Gemperline United States
Riccardo Leardi Italy
L.A. Sarabia Spain
Hamid Abdollahi Iran
M.C. Ortiz Spain
Nicolaas M. Faber Netherlands
Peter D. Wentzell Canada
Davide Ballabio Italy
Sijmen de Jong Netherlands
G. Kateman relative to Sarah C. Rutan United States Sarah C. Rutan's profile →
Citations per field
00.5×1.5×
Sarah C. Rutan · 1×
Citations per year

Countries citing papers authored by G. Kateman

Since Specialization
Citations

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

Fields of papers citing papers by G. Kateman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993238
2 1985237
3 1994151
4 1985147
5 1994143
6 1994134
7 1991114
8 199374
9 199471
10 199270
11 199159
12 199458
13 198756
14 199455
15 199254
16 199250
17 199245
18 198344
19 199343
20 199439

About G. Kateman

G. Kateman is a scholar working on Analytical Chemistry, Statistics, Probability and Uncertainty, Bioengineering, Industrial and Manufacturing Engineering and Statistics and Probability, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (49 papers), Analytical Chemistry and Chromatography (26 papers), Fault Detection and Control Systems (18 papers), Water Quality Monitoring and Analysis (14 papers), Advanced Statistical Methods and Models (13 papers), Neural Networks and Applications (13 papers), Advanced Chemical Sensor Technologies (12 papers) and Pesticide Residue Analysis and Safety (12 papers). The work is most often cited by research in Analytical Chemistry (1.6k citations), Spectroscopy (1.0k citations), Industrial and Manufacturing Engineering (463 citations), Biophysics (254 citations) and Computational Mathematics (25 citations). G. Kateman has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include C.B. Lucasius, B.G.M. Vandeginste, L.M.C. Buydens, J.R.M. Smits, Nicolaas M. Faber, W.J. Melssen, H.C. Smit, B. Vandeginste, L.M.C. Buydens and D. Wienke. Their work appears in journals such as Analytica Chimica Acta, Chemometrics and Intelligent Laboratory Systems, TrAC Trends in Analytical Chemistry, Journal of Chemometrics and Analytical Chemistry.

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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