Ildiko E. Frank

2.7k citations
31 papers · 2.1k · 1 hit paper · h-index 17

Impact in

Papers in

Ildiko E. Frank

30 papers receiving 2.0k citations

Ildiko E. Frank's Hit Papers

Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies 1988 · 749 citations
7490+12+25Years since publication200400600

Peers

Ildiko E. Frank
Comparison fields: 5 of 170
  • Analytical Chemistry 606
  • Computational Theory and Mathematics 484
  • Statistics and Probability 213
  • Biophysics 107
  • Industrial and Manufacturing Engineering 142
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Erik Johansson Sweden
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Countries citing papers authored by Ildiko E. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Ildiko E. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies
Hit paper breakdown →
1988749
2 1993285
3
The Data Analysis Handbook
1994186
4 1990111
5 2014103
6 198781
7 198968
8 198462
9 198461
10 198352
11 201551
12 198247
13 198946
14 199542
15 201339
16 201632
17 198824
18 198815
19 199312
20 199612

About Ildiko E. Frank

Ildiko E. Frank is a scholar working on Analytical Chemistry, Spectroscopy, Computational Theory and Mathematics, Biomedical Engineering and Ecology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (17 papers), Analytical Chemistry and Chromatography (8 papers), Advanced Chemical Sensor Technologies (7 papers), Computational Drug Discovery Methods (7 papers), Microbial Community Ecology and Physiology (5 papers), Advanced Statistical Methods and Models (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Analytical Chemistry (606 citations), Computational Theory and Mathematics (484 citations), Statistics and Probability (213 citations), Biophysics (107 citations) and Industrial and Manufacturing Engineering (142 citations). Ildiko E. Frank has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Richard D. Cramer, David E. Patterson, Jeffrey D. Bunce, Jerome H. Friedman, Roberto Todeschini, Bruce R. Kowalski, Jonathan P. Zehr, Silvia Lanteri, Kendra A. Turk‐Kubo and John H. Kalivas. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Analytica Chimica Acta, Technometrics, Analytical Chemistry and Environmental Microbiology.

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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