A. Krämer

6.5k total citations · 1 hit paper
38 papers, 4.2k citations indexed

About

A. Krämer is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, A. Krämer has authored 38 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 9 papers in Molecular Biology and 9 papers in Condensed Matter Physics. Recurrent topics in A. Krämer's work include Advanced Memory and Neural Computing (9 papers), Physics of Superconductivity and Magnetism (8 papers) and CCD and CMOS Imaging Sensors (5 papers). A. Krämer is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Physics of Superconductivity and Magnetism (8 papers) and CCD and CMOS Imaging Sensors (5 papers). A. Krämer collaborates with scholars based in United States, Germany and Italy. A. Krämer's co-authors include Jeff Green, Stuart Tugendreich, Jack Pollard, Julia E. Rice, Hans W. Horn, Miodrag L. Kulić, Sebastian Doniach, J. Lazzaro, John Wawrzynek and Jean-Noël Billaud and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

A. Krämer

36 papers receiving 4.2k citations

Hit Papers

Causal analysis approaches in Ingenuity Pathway Analysis 2013 2026 2017 2021 2013 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Causal analysis approaches in Ingenuity Pathway Analysis
    2013 3.9k citations A. Krämer, Jeff Green et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Krämer United States 11 2.0k 642 612 444 427 38 4.2k
Edward Y. Chen United States 12 3.4k 1.7× 763 1.2× 830 1.4× 466 1.0× 567 1.3× 15 5.5k
Jack Pollard United States 12 2.3k 1.1× 727 1.1× 797 1.3× 460 1.0× 447 1.0× 25 4.5k
Neil R. Clark United States 16 3.6k 1.8× 778 1.2× 846 1.4× 482 1.1× 555 1.3× 27 5.7k
Christopher M. Tan United States 18 3.8k 1.9× 843 1.3× 803 1.3× 628 1.4× 537 1.3× 40 6.1k
Masahiro Maeda Japan 40 2.3k 1.1× 903 1.4× 453 0.7× 710 1.6× 552 1.3× 183 5.2k
Xiaofei Wang China 43 2.6k 1.3× 503 0.8× 528 0.9× 410 0.9× 743 1.7× 232 5.3k
Stuart Tugendreich United States 19 4.5k 2.2× 772 1.2× 674 1.1× 477 1.1× 668 1.6× 26 6.9k
Paul A. Townsend United Kingdom 42 2.8k 1.4× 546 0.9× 722 1.2× 685 1.5× 268 0.6× 156 5.3k
Weiming Xu China 33 3.1k 1.5× 875 1.4× 753 1.2× 937 2.1× 360 0.8× 105 6.3k
Adrienne C. Scheck United States 33 1.7k 0.8× 462 0.7× 723 1.2× 849 1.9× 254 0.6× 89 4.4k

Countries citing papers authored by A. Krämer

Since Specialization
Citations

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

Fields of papers citing papers by A. Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Krämer

This figure shows the co-authorship network connecting the top 25 collaborators of A. Krämer. A scholar is included among the top collaborators of A. Krämer 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 A. Krämer. A. Krämer 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.
Billaud, Jean-Noël, et al.. (2024). From data to discovery: AI-guided analysis of disease-relevant molecules in spinal muscular atrophy (SMA). Human Molecular Genetics. 33(15). 1367–1377. 3 indexed citations
2.
Krämer, A., et al.. (2022). Mining hidden knowledge: embedding models of cause–effect relationships curated from the biomedical literature. Bioinformatics Advances. 2(1). vbac022–vbac022. 5 indexed citations
3.
Krämer, A., et al.. (2021). The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function. BMC Bioinformatics. 22(1). 229–229. 8 indexed citations
4.
Krämer, A.. (2021). Master regulators as order parameters of gene expression states. Physical review. E. 103(1). 12409–12409. 1 indexed citations
5.
Krämer, A., et al.. (2017). Leveraging network analytics to infer patient syndrome and identify causal genes in rare disease cases. BMC Genomics. 18(S5). 551–551. 5 indexed citations
6.
Chandonia, John‐Marc, Aashish N. Adhikari, Marco Carraro, et al.. (2017). Lessons from the CAGI‐4 Hopkins clinical panel challenge. Human Mutation. 38(9). 1155–1168. 3 indexed citations
7.
Krämer, A., Jeff Green, Jack Pollard, & Stuart Tugendreich. (2013). Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics. 30(4). 523–530. 3879 indexed citations breakdown →
8.
Felciano, Ramon M., Sina Bavari, Daniel R. Richards, et al.. (2012). PREDICTIVE SYSTEMS BIOLOGY APPROACH TO BROAD-SPECTRUM, HOST-DIRECTED DRUG TARGET DISCOVERY IN INFECTIOUS DISEASES. PubMed. 17–28. 26 indexed citations
9.
Krämer, A., Hans W. Horn, & Julia E. Rice. (2003). Fast 3D molecular superposition and similarity search in databases of flexible molecules. Journal of Computer-Aided Molecular Design. 17(1). 13–38. 31 indexed citations
10.
Canegallo, R., et al.. (2002). Words recognition using associative memory. 1. 97–101.
11.
Krämer, A.. (2002). Array-based analog computation: principles, advantages and limitations. 68–79. 10 indexed citations
12.
Krämer, A., et al.. (2002). 55GCPS CAM using 5b analog flash. 44–45,. 4 indexed citations
13.
Pitman, Michael C., Wolfgang Huber, Hans W. Horn, et al.. (2001). FLASHFLOOD: A 3D Field-based similarity search and alignment method for flexible molecules. Journal of Computer-Aided Molecular Design. 15(7). 587–612. 19 indexed citations
14.
Krämer, A., et al.. (1998). Structure of the vortex liquid at the surface of a layered superconductor. Physical review. B, Condensed matter. 58(13). 8755–8759.
15.
Krämer, A.. (1998). Entanglement of flux lines in superconductors with finite thickness. Physica C Superconductivity. 309(1-2). 33–38. 1 indexed citations
16.
Görlitz, Detlef, et al.. (1997). Dynamic conductivity nearTcofYBa2Cu3O7films: Vortex-glass-like criticality in the absence of externally induced vortices. Physical review. B, Condensed matter. 55(9). 6077–6081. 11 indexed citations
17.
Krämer, A.. (1996). Array-based analog computation. IEEE Micro. 16(5). 20–29. 24 indexed citations
18.
Lazzaro, J., John Wawrzynek, & A. Krämer. (1994). Systems technologies for silicon auditory models. IEEE Micro. 14(3). 7–15. 31 indexed citations
19.
Krämer, A., et al.. (1990). Compact EEPROM-based Weight Functions. Neural Information Processing Systems. 3. 1001–1007. 5 indexed citations
20.
Krämer, A. & H. Lehmann. (1986). Feinstrukturelle Untersuchungen zur Entwicklung des „Metachromatischen Körpers” in Zellen des Lebermooses Riella helicophylla (Bory et Mont.) Mont. Berichte der Deutschen Botanischen Gesellschaft. 99(1). 111–121. 4 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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