Mark-A. Krogel

416 total citations
5 papers, 108 citations indexed

About

Mark-A. Krogel is a scholar working on Molecular Biology, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mark-A. Krogel has authored 5 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Mark-A. Krogel's work include Machine Learning in Bioinformatics (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Data Mining Algorithms and Applications (3 papers). Mark-A. Krogel is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Data Mining Algorithms and Applications (3 papers). Mark-A. Krogel collaborates with scholars based in Germany and Japan. Mark-A. Krogel's co-authors include Tobias Scheffer, Shinichi Morishita, David Page, Jie Cheng, Christos Hatzis, Jun Sese, Hisashi Hayashi and Marco Landwehr and has published in prestigious journals such as Machine Learning and ACM SIGKDD Explorations Newsletter.

In The Last Decade

Mark-A. Krogel

5 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark-A. Krogel Germany	3	66	42	23	20	14	5	108
Ondřej Kuželka Czechia	6	88 1.3×	33 0.8×	28 1.2×	25 1.3×	10 0.7×	36	143
Denis Maurel France	6	120 1.8×	21 0.5×	16 0.7×	25 1.3×	7 0.5×	41	149
Stephen Dignum United Kingdom	5	110 1.7×	34 0.8×	21 0.9×	11 0.6×	5 0.4×	6	132
Peggy Cellier France	6	41 0.6×	11 0.3×	30 1.3×	30 1.5×	6 0.4×	18	82
Peter Bloem Netherlands	6	47 0.7×	20 0.5×	12 0.5×	9 0.5×	10 0.7×	9	86
Ehsan Hajiramezanali United States	6	58 0.9×	18 0.4×	11 0.5×	9 0.5×	11 0.8×	8	96
Thierry Charnois France	8	97 1.5×	17 0.4×	42 1.8×	17 0.8×	6 0.4×	27	134
Madhav Nimishakavi India	5	66 1.0×	21 0.5×	7 0.3×	10 0.5×	32 2.3×	7	99
Marco A. Valenzuela-Escárcega United States	7	142 2.2×	60 1.4×	19 0.8×	20 1.0×	16 1.1×	17	194
Pavel Klinov United Kingdom	6	64 1.0×	14 0.3×	22 1.0×	10 0.5×	5 0.4×	20	71

Countries citing papers authored by Mark-A. Krogel

Since Specialization

Citations

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

Fields of papers citing papers by Mark-A. Krogel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark-A. Krogel. 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 Mark-A. Krogel. The network helps show where Mark-A. Krogel may publish in the future.

Co-authorship network of co-authors of Mark-A. Krogel

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Krogel, Mark-A. & Tobias Scheffer. (2004). Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics. Machine Learning. 57(1-2). 61–81. 39 indexed citations

2.

Krogel, Mark-A. & Tobias Scheffer. (2004). Effectiveness of information extraction, multi-relational, and semi-supervised learning for predicting functional properties of genes. 4. 569–572. 1 indexed citations

3.

Krogel, Mark-A. & Tobias Scheffer. (2003). Effectiveness of information extraction, multi-relational, and multi-view learning for predicting gene deletion experiments. 10–16. 2 indexed citations

4.

Cheng, Jie, Christos Hatzis, Hisashi Hayashi, et al.. (2002). KDD Cup 2001 report. ACM SIGKDD Explorations Newsletter. 3(2). 47–64. 60 indexed citations

5.

Krogel, Mark-A., et al.. (2002). Combining data and text mining techniques for yeast gene regulation prediction. ACM SIGKDD Explorations Newsletter. 4(2). 104–105. 6 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.

Explore authors with similar magnitude of impact