Christopher Oehmen

795 total citations
40 papers, 573 citations indexed

About

Christopher Oehmen is a scholar working on Molecular Biology, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Christopher Oehmen has authored 40 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Computer Networks and Communications and 8 papers in Information Systems and Management. Recurrent topics in Christopher Oehmen's work include Genomics and Phylogenetic Studies (15 papers), Machine Learning in Bioinformatics (11 papers) and Scientific Computing and Data Management (8 papers). Christopher Oehmen is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Machine Learning in Bioinformatics (11 papers) and Scientific Computing and Data Management (8 papers). Christopher Oehmen collaborates with scholars based in United States and Canada. Christopher Oehmen's co-authors include Jarek Nieplocha, Bobbie‐Jo Webb‐Robertson, Anuj Shah, William R. Cannon, Elena Peterson, Vidhya Gurumoorthi, Mary Lipton, Katrina M. Waters, Jason McDermott and Ram Samudrala and has published in prestigious journals such as Bioinformatics, Journal of Virology and Infection and Immunity.

In The Last Decade

Christopher Oehmen

38 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Oehmen United States 13 357 105 88 77 42 40 573
Byung‐Kwon Choi United States 20 724 2.0× 30 0.3× 103 1.2× 39 0.5× 91 2.2× 36 1.1k
Ingvar Eidhammer Norway 15 805 2.3× 207 2.0× 18 0.2× 152 2.0× 61 1.5× 30 990
Cam Macdonell Canada 8 376 1.1× 39 0.4× 25 0.3× 83 1.1× 29 0.7× 13 586
Philip J. Hatcher United States 16 231 0.6× 51 0.5× 333 3.8× 91 1.2× 109 2.6× 46 741
Pieter Meysman Belgium 23 910 2.5× 105 1.0× 15 0.2× 75 1.0× 87 2.1× 80 1.5k
Andrew Harrison United Kingdom 18 712 2.0× 32 0.3× 27 0.3× 78 1.0× 48 1.1× 45 982
Cornelia Hedeler United Kingdom 11 255 0.7× 27 0.3× 70 0.8× 63 0.8× 38 0.9× 19 559
Rafał Adamczak Poland 12 681 1.9× 41 0.4× 11 0.1× 260 3.4× 88 2.1× 53 1.3k
Brett Poulin Canada 7 411 1.2× 28 0.3× 20 0.2× 146 1.9× 65 1.5× 9 663
Hans J. W. Spoelder Netherlands 7 324 0.9× 56 0.5× 32 0.4× 9 0.1× 51 1.2× 9 577

Countries citing papers authored by Christopher Oehmen

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Oehmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Oehmen

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Oehmen. A scholar is included among the top collaborators of Christopher Oehmen 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 Christopher Oehmen. Christopher Oehmen 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.
Gans, Jason, Nicholas Generous, Corey Hudson, et al.. (2019). Defending Our Public Biological Databases as a Global Critical Infrastructure. Frontiers in Bioengineering and Biotechnology. 7. 58–58. 8 indexed citations
2.
Al‐Shaer, Ehab, et al.. (2016). Formal Approach for Resilient Reachability based on End-System Route Agility. 117–127. 12 indexed citations
3.
Bonheyo, George T., Thomas W. Edgar, Nancy Hess, et al.. (2016). Applying the scientific method to cybersecurity research. 27. 1–8. 1 indexed citations
4.
Oehmen, Christopher, et al.. (2015). Behavior-dependent Routing. 55–58. 1 indexed citations
5.
Oehmen, Christopher, et al.. (2013). ScalaBLAST 2.0: rapid and robust BLAST calculations on multiprocessor systems. Bioinformatics. 29(6). 797–798. 24 indexed citations
6.
Oehmen, Christopher, et al.. (2012). An efficient machine learning approach to low-complexity filtering in biological sequences. 237–243. 2 indexed citations
7.
McDermott, Jason, Christopher Oehmen, Lee Ann McCue, et al.. (2011). A model of cyclic transcriptomic behavior in the cyanobacterium Cyanothece sp. ATCC 51142. Molecular BioSystems. 7(8). 2407–2418. 18 indexed citations
9.
Webb‐Robertson, Bobbie‐Jo, William R. Cannon, Christopher Oehmen, et al.. (2010). A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinformatics. 26(13). 1677–1683. 32 indexed citations
10.
Oehmen, Christopher, et al.. (2010). An adaptive middleware framework for Scientific Computing at extreme scales. 232–238. 1 indexed citations
11.
Webb‐Robertson, Bobbie‐Jo, et al.. (2010). Physicochemical property distributions for accurate and rapid pairwise protein homology detection. BMC Bioinformatics. 11(1). 145–145. 20 indexed citations
12.
Webb‐Robertson, Bobbie‐Jo, Christopher Oehmen, & Anuj Shah. (2008). A feature vector integration approach for a generalized support vector machine pairwise homology algorithm. Computational Biology and Chemistry. 32(6). 458–461. 4 indexed citations
13.
Gorton, Ian, Christopher Oehmen, & Jason McDermott. (2008). It Takes Glue to Tango: MeDICi integration framework creates data-intensive computing pipeline. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 25(7). 200–2. 2 indexed citations
14.
Webb‐Robertson, Bobbie‐Jo, William R. Cannon, Christopher Oehmen, et al.. (2008). A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinformatics. 24(13). 1503–1509. 63 indexed citations
15.
Shah, Anuj, Christopher Oehmen, & Bobbie‐Jo Webb‐Robertson. (2008). SVM-HUSTLE—an iterative semi-supervised machine learning approach for pairwise protein remote homology detection. Bioinformatics. 24(6). 783–790. 36 indexed citations
16.
Shah, Anuj, et al.. (2007). Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms. Computational Biology and Chemistry. 31(2). 138–142. 3 indexed citations
17.
Webb‐Robertson, Bobbie‐Jo, Christopher Oehmen, & William R. Cannon. (2007). Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics. 500–505. 3 indexed citations
18.
Oehmen, Christopher & Jarek Nieplocha. (2006). ScalaBLAST: A Scalable Implementation of BLAST for High-Performance Data-Intensive Bioinformatics Analysis. IEEE Transactions on Parallel and Distributed Systems. 17(8). 740–749. 99 indexed citations
19.
Webb‐Robertson, Bobbie‐Jo, Christopher Oehmen, & Melissa M. Matzke. (2005). SVM-BALSA: Remote homology detection based on Bayesian sequence alignment. Computational Biology and Chemistry. 29(6). 440–443. 20 indexed citations
20.
Oehmen, Christopher, Wayne R. Giles, & Semahat S. Demir. (2002). Mathematical Model of the Rapidly Activating Delayed Rectifier Potassium Current IKr in Rabbit Sinoatrial Node. Journal of Cardiovascular Electrophysiology. 13(11). 1131–1140. 14 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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