Mark V. Culp

722 total citations
25 papers, 513 citations indexed

About

Mark V. Culp is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Mark V. Culp has authored 25 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Mark V. Culp's work include Machine Learning and Data Classification (5 papers), Machine Learning and Algorithms (4 papers) and Software Engineering Research (4 papers). Mark V. Culp is often cited by papers focused on Machine Learning and Data Classification (5 papers), Machine Learning and Algorithms (4 papers) and Software Engineering Research (4 papers). Mark V. Culp collaborates with scholars based in United States and Germany. Mark V. Culp's co-authors include George Michailidis, Bojan Čukić, Kjell Johnson, Huihua Lu, Kenneth J. Ryan, Sarah L. McLaughlin, Ryan H. Livengood, Alexey V. Ivanov, Ryan J. Ice and Elena N. Pugacheva and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Mark V. Culp

25 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark V. Culp United States	13	149	147	111	96	67	25	513
Daniel Le United States	11	103 0.7×	152 1.0×	138 1.2×	30 0.3×	72 1.1×	49	467
Junwei Du China	11	224 1.5×	206 1.4×	138 1.2×	23 0.2×	78 1.2×	51	601
Mijung Kim South Korea	13	119 0.8×	74 0.5×	104 0.9×	72 0.8×	51 0.8×	50	556
Zhuo Zhang China	13	131 0.9×	74 0.5×	59 0.5×	124 1.3×	164 2.4×	66	695
Vı́tor Santos Costa Portugal	17	169 1.1×	498 3.4×	279 2.5×	56 0.6×	47 0.7×	111	1.2k
Yuedan Chen China	13	64 0.4×	159 1.1×	165 1.5×	13 0.1×	87 1.3×	44	749
Huili Chen United States	15	84 0.6×	413 2.8×	176 1.6×	10 0.1×	227 3.4×	44	885
Paolo Zuliani United Kingdom	16	101 0.7×	324 2.2×	258 2.3×	153 1.6×	7 0.1×	59	984
Stuart J. Inglis New Zealand	7	96 0.6×	166 1.1×	50 0.5×	50 0.5×	90 1.3×	14	467

Countries citing papers authored by Mark V. Culp

Since Specialization

Citations

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

Fields of papers citing papers by Mark V. Culp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark V. Culp. 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 V. Culp. The network helps show where Mark V. Culp may publish in the future.

Co-authorship network of co-authors of Mark V. Culp

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

All Works

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20 of 20 papers shown

Culp, Mark V., et al.. (2018). On Data Integration Problems With Manifolds. Technometrics. 61(2). 165–175. 1 indexed citations

Banerjee, Sean, et al.. (2016). Automated triaging of very large bug repositories. Information and Software Technology. 89. 1–13. 35 indexed citations

Ryan, Kenneth J. & Mark V. Culp. (2015). On semi-supervised linear regression in covariate shift problems. Journal of Machine Learning Research. 16(1). 3183–3217. 8 indexed citations

Ross, Arun, et al.. (2014). On Clustering Human Gait Patterns. 6 indexed citations

Lu, Huihua, Bojan Čukić, & Mark V. Culp. (2014). A Semi-supervised Approach to Software Defect Prediction. 416–425. 16 indexed citations

Ice, Ryan J., Sarah L. McLaughlin, Ryan H. Livengood, et al.. (2013). NEDD9 Depletion Destabilizes Aurora A Kinase and Heightens the Efficacy of Aurora A Inhibitors: Implications for Treatment of Metastatic Solid Tumors. Cancer Research. 73(10). 3168–3180. 38 indexed citations

McLaughlin, Sarah L., Ryan J. Ice, Ryan H. Livengood, et al.. (2013). NEDD9 Depletion Leads to MMP14 Inactivation by TIMP2 and Prevents Invasion and Metastasis. Molecular Cancer Research. 12(1). 69–81. 24 indexed citations

Culp, Mark V. & Kenneth J. Ryan. (2013). Joint harmonic functions and their supervised connections. Journal of Machine Learning Research. 14(1). 3721–3752. 2 indexed citations

Rodgers‐Melnick, Eli, Mark V. Culp, & Stephen DiFazio. (2013). Predicting whole genome protein interaction networks from primary sequence data in model and non-model organisms using ENTS. BMC Genomics. 14(1). 608–608. 21 indexed citations

10.

Culp, Mark V., et al.. (2012). Patient understanding and impression of hematology/oncology fellows.. Journal of Clinical Oncology. 30(34_suppl). 9–9. 1 indexed citations

11.

Evans, Jason V., Amanda G. Ammer, Karen H. Martin, et al.. (2012). Src binds cortactin through an SH2 domain cystine-mediated linkage. Journal of Cell Science. 125(24). 6185–6197. 23 indexed citations

12.

Culp, Mark V.. (2011). spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R. SHILAP Revista de lepidopterología. 1 indexed citations

13.

Warner, Timothy A., et al.. (2011). Seasonal Trends in Separability of Leaf Reflectance Spectra for Ailanthus altissima and Four Other Tree Species. Photogrammetric Engineering & Remote Sensing. 77(8). 793–804. 26 indexed citations

14.

Culp, Mark V.. (2011). On Propagated Scoring for Semisupervised Additive Models. Journal of the American Statistical Association. 106(493). 248–259. 5 indexed citations

15.

Culp, Mark V.. (2011). spa: A Semi-SupervisedRPackage for Semi-Parametric Graph-Based Estimation. Journal of Statistical Software. 40(10). 4 indexed citations

16.

Culp, Mark V., George Michailidis, & Kjell Johnson. (2010). On Adaptive Regularization Methods in Boosting. Journal of Computational and Graphical Statistics. 20(4). 937–955. 7 indexed citations

17.

Culp, Mark V., Kjell Johnson, & George Michailidis. (2010). The Ensemble Bridge Algorithm: A New Modeling Tool for Drug Discovery Problems. Journal of Chemical Information and Modeling. 50(2). 309–316. 9 indexed citations

18.

Culp, Mark V. & George Michailidis. (2008). An Iterative Algorithm for Extending Learners to a Semi-Supervised Setting. Journal of Computational and Graphical Statistics. 17(3). 545–571. 32 indexed citations

19.

Culp, Mark V. & George Michailidis. (2007). Graph-Based Semisupervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(1). 174–179. 81 indexed citations

20.

Culp, Mark V., Kjell Johnson, & George Michailidis. (2006). ada: AnRPackage for Stochastic Boosting. Journal of Statistical Software. 17(2). 70 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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