Daniel J. Arp

15.8k total citations · 2 hit papers
185 papers, 10.7k citations indexed

About

Daniel J. Arp is a scholar working on Pollution, Molecular Biology and Environmental Engineering. According to data from OpenAlex, Daniel J. Arp has authored 185 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Pollution, 73 papers in Molecular Biology and 37 papers in Environmental Engineering. Recurrent topics in Daniel J. Arp's work include Wastewater Treatment and Nitrogen Removal (53 papers), Microbial Fuel Cells and Bioremediation (37 papers) and Microbial bioremediation and biosurfactants (35 papers). Daniel J. Arp is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (53 papers), Microbial Fuel Cells and Bioremediation (37 papers) and Microbial bioremediation and biosurfactants (35 papers). Daniel J. Arp collaborates with scholars based in United States, Germany and United Kingdom. Daniel J. Arp's co-authors include Michael R. Hyman, Luis A. Sayavedra‐Soto, Konrad Rieck, Hugo Gascón, Lisa Y. Stein, Michael Spreitzenbarth, Michael Huebner, Norman G. Hommes, Peter J. Bottomley and Fabian Yamaguchi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel J. Arp

184 papers receiving 10.2k citations

Hit Papers

Drebin: Effective and Explainable Detection of Android Ma... 2014 2026 2018 2022 2014 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Arp United States 52 4.8k 2.6k 2.4k 2.2k 1.8k 185 10.7k
Xiaoyong Zhou China 27 631 0.1× 126 0.0× 77 0.0× 925 0.4× 254 0.1× 108 3.0k
Jianjun Chen China 56 1.6k 0.3× 2.3k 0.9× 381 0.2× 506 0.2× 563 0.3× 518 14.4k
Hong Yao China 46 2.2k 0.4× 299 0.1× 418 0.2× 279 0.1× 580 0.3× 227 6.8k
Zhaojun Li China 43 1.8k 0.4× 968 0.4× 449 0.2× 27 0.0× 106 0.1× 218 6.5k
Jesús S. Aguilar–Ruiz Spain 33 561 0.1× 868 0.3× 62 0.0× 171 0.1× 91 0.1× 131 3.1k
Chris K.C. Wong Hong Kong 60 2.0k 0.4× 2.2k 0.9× 1.6k 0.7× 82 0.0× 113 0.1× 357 13.3k
Huiying Li China 35 249 0.1× 598 0.2× 360 0.2× 304 0.1× 166 0.1× 174 4.8k
Jesús González Spain 30 729 0.2× 331 0.1× 319 0.1× 159 0.1× 181 0.1× 169 3.1k
Feng Qin China 49 50 0.0× 4.3k 1.7× 307 0.1× 403 0.2× 185 0.1× 161 11.1k
Rong Chen China 32 890 0.2× 203 0.1× 165 0.1× 51 0.0× 298 0.2× 145 2.8k

Countries citing papers authored by Daniel J. Arp

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Arp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Arp. 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 Daniel J. Arp. The network helps show where Daniel J. Arp may publish in the future.

Co-authorship network of co-authors of Daniel J. Arp

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Arp. A scholar is included among the top collaborators of Daniel J. Arp 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 Daniel J. Arp. Daniel J. Arp 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.
Arp, Daniel J., et al.. (2025). Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]. ACM Transactions on Privacy and Security. 28(4). 1–37. 1 indexed citations
2.
Chow, T.T., et al.. (2023). Drift Forensics of Malware Classifiers. 197–207. 4 indexed citations
3.
Arp, Daniel J., Feargus Pendlebury, Alexander Warnecke, et al.. (2023). Lessons Learned on Machine Learning for Computer Security. IEEE Security & Privacy. 21(5). 72–77. 11 indexed citations
4.
Warnecke, Alexander, Daniel J. Arp, Christian Wressnegger, & Konrad Rieck. (2020). Evaluating Explanation Methods for Deep Learning in Computer Security. 1 indexed citations
5.
Klein, David, et al.. (2020). Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.. USENIX Security Symposium. 1363–1380. 19 indexed citations
6.
Warnecke, Alexander, Daniel J. Arp, Christian Wressnegger, & Konrad Rieck. (2019). Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security.. arXiv (Cornell University). 5 indexed citations
7.
Taylor, Anne E., Neeraja Vajrala, Andrew T. Giguere, et al.. (2013). Use of Aliphatic n -Alkynes To Discriminate Soil Nitrification Activities of Ammonia-Oxidizing Thaumarchaea and Bacteria. Applied and Environmental Microbiology. 79(21). 6544–6551. 164 indexed citations
8.
Suwa, Yuichi, Jeanette M. Norton, Annette Bollmann, et al.. (2011). Genome Sequence of Nitrosomonas sp. Strain AL212, an Ammonia-Oxidizing Bacterium Sensitive to High Levels of Ammonia. Journal of Bacteriology. 193(18). 5047–5048. 31 indexed citations
9.
Gvakharia, Barbara O., Brian Tjaden, Neeraja Vajrala, Luis A. Sayavedra‐Soto, & Daniel J. Arp. (2010). Computational prediction and transcriptional analysis of sRNAs in Nitrosomonas europaea. FEMS Microbiology Letters. 312(1). 46–54. 3 indexed citations
10.
Sayavedra‐Soto, Luis A., Barbara O. Gvakharia, Peter J. Bottomley, Daniel J. Arp, & Mark E. Dolan. (2010). Nitrification and degradation of halogenated hydrocarbons—a tenuous balance for ammonia-oxidizing bacteria. Applied Microbiology and Biotechnology. 86(2). 435–444. 38 indexed citations
11.
Vajrala, Neeraja, Luis A. Sayavedra‐Soto, Peter J. Bottomley, & Daniel J. Arp. (2010). Role of Nitrosomonas europaea NitABC iron transporter in the uptake of Fe3+-siderophore complexes. Archives of Microbiology. 192(11). 899–908. 8 indexed citations
12.
Stein, Lisa Y., Daniel J. Arp, Paul M. Berube, et al.. (2007). Whole‐genome analysis of the ammonia‐oxidizing bacterium, Nitrosomonas eutropha C91: implications for niche adaptation. Environmental Microbiology. 9(12). 2993–3007. 133 indexed citations
13.
Klotz, Martin G., Daniel J. Arp, Patrick Chain, et al.. (2006). The Complete Genome Sequence of the Marine, Chemolithoautotrophic, Ammonia-Oxidizing Bacterium Nitrosococcus oceani ATCC19707. University of North Texas Digital Library (University of North Texas). 5 indexed citations
14.
Chain, Patrick, Jane E. Lamerdin, Frank W. Larimer, et al.. (2003). Complete Genome Sequence of the Ammonia-Oxidizing Bacterium and Obligate Chemolithoautotroph Nitrosomonas europaea. Journal of Bacteriology. 185(9). 2759–2773. 448 indexed citations
15.
Kim, Young Ho, Daniel J. Arp, & Lewis Semprini. (2002). A combined method for determining inhibition type, kinetic parameters, and inhibition coefficients for aerobic cometabolism of 1,1,1‐trichloroethane by a butane‐grown mixed culture. Biotechnology and Bioengineering. 77(5). 564–576. 25 indexed citations
16.
Stein, Lisa Y., Luis A. Sayavedra‐Soto, Norman G. Hommes, & Daniel J. Arp. (2000). Differential regulation ofamoAandamoBgene copies inNitrosomonas europaea. FEMS Microbiology Letters. 192(2). 163–168. 23 indexed citations
17.
Hamamura, Natsuko & Daniel J. Arp. (2000). Isolation and characterization of alkane-utilizingNocardioidessp. strain CF8. FEMS Microbiology Letters. 186(1). 21–26. 46 indexed citations
19.
Arp, Daniel J.. (1992). Hydrogen cycling in symbiotic bacteria. 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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