Mike D’Arcy

950 total citations
18 papers, 388 citations indexed

About

Mike D’Arcy is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mike D’Arcy has authored 18 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems and Management, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Mike D’Arcy's work include Scientific Computing and Data Management (10 papers), Distributed and Parallel Computing Systems (6 papers) and Research Data Management Practices (5 papers). Mike D’Arcy is often cited by papers focused on Scientific Computing and Data Management (10 papers), Distributed and Parallel Computing Systems (6 papers) and Research Data Management Practices (5 papers). Mike D’Arcy collaborates with scholars based in United States and United Kingdom. Mike D’Arcy's co-authors include Carl Kesselman, Ian Foster, Laura Pearlman, Neill Miller, Jennifer M. Schopf, Ioan Raicu, Kyle Chard, Ann Chervenak, Arthur W. Toga and Ivo D. Dinov and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of the American Medical Informatics Association.

In The Last Decade

Mike D’Arcy

17 papers receiving 369 citations

Peers

Countries citing papers authored by Mike D’Arcy

Since Specialization

Citations

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

Fields of papers citing papers by Mike D’Arcy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike D’Arcy. 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 Mike D’Arcy. The network helps show where Mike D’Arcy may publish in the future.

Co-authorship network of co-authors of Mike D’Arcy

This figure shows the co-authorship network connecting the top 25 collaborators of Mike D’Arcy. A scholar is included among the top collaborators of Mike D’Arcy 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 Mike D’Arcy. Mike D’Arcy 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:

18 of 18 papers shown

#	Work	Indexed citations
1	ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews 2024 ·Mike D’Arcy, (unknown), (unknown), Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey	1
2	Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models 2024 ·(unknown), Carl Kesselman, Mike D’Arcy, Michael J. Pazzani, (unknown)	0
3	SciRepEval: A Multi-Format Benchmark for Scientific Document Representations 2023 ·Amanpreet Singh, Mike D’Arcy, Arman Cohan, Doug Downey, Sergey Feldman	19
4	Embedding Recycling for Language Models 2023 ·Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D’Arcy, Arman Cohan, Doug Downey	3
5	An Open Ecosystem for Pervasive Use of Persistent Identifiers 2020 ·Practice and Experience in Advanced Research Computing ·Rachana Ananthakrishnan, Kyle Chard, Mike D’Arcy, Ian Foster, Carl Kesselman, (unknown), Jim Pruyne, Philippe Rocca‐Serra, Robert Schuler, Rick Wagner	5
6	Towards Co-Evolution of Data-Centric Ecosystems 2020 ·PubMed ·Robert Schuler, Karl Czajkowski, Mike D’Arcy, Hongsuda Tangmunarunkit, Carl Kesselman	7
7	Reproducible big data science: A case study in continuous FAIRness 2019 ·PLoS ONE ·Ravi Madduri, Kyle Chard, Mike D’Arcy, Segun Jung, (unknown), Dinanath Sulakhe, Eric W. Deutsch, Cory C. Funk, Ben Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian Foster	23
8	2019 ·Michael Chen, Mike D’Arcy, Alisa Liu, (unknown), Doug Downey	20
9	Neuroanatomical morphometric characterization of sex differences in youth using statistical learning 2018 ·NeuroImage ·Farshid Sepehrband, Kirsten M. Lynch, Ryan P. Cabeen, (unknown), Lu Zhao, Mike D’Arcy, Carl Kesselman, Megan M. Herting, Ivo D. Dinov, Arthur W. Toga, Kristi A. Clark	26
10	I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets 2016 ·Research Explorer (The University of Manchester) ·Kyle Chard, Mike D’Arcy, Ben Heavner, Ian Foster, Carl Kesselman, Ravi Madduri, (unknown), Stian Soiland‐Reyes, Carole Goble, Kristi Clark, Eric W. Deutsch, Ivo D. Dinov, Nathan D. Price, Arthur W. Toga	28
11	Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations 2016 ·PLoS ONE ·Ivo D. Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike D’Arcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W. Deutsch, Nathan D. Price, John D. Van Horn, (unknown), Kristi Clark, Leroy Hood, Benjamin M. Hampstead, William T. Dauer, Arthur W. Toga	93
12	A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research 2015 ·Journal of the American Medical Informatics Association ·Daniella Meeker, Xiaoqian Jiang, Michael E. Matheny, Claudiu Farcas, Mike D’Arcy, Laura Pearlman, (unknown), Michele E. Day, Katherine Kim, Hyeoneui Kim, Aziz A. Boxwala, Robert El‐Kareh, Grace m. Kuo, Frederic S. Resnic, Carl Kesselman, Lucila Ohno‐Machado	15
13	A system architecture for sharing de-identified, research-ready brain scans and health information across clinical imaging centers. 2012 ·PubMed ·Ann Chervenak, Theo G.M. van Erp, Carl Kesselman, Mike D’Arcy, Janet L. Sobell, David B. Keator, (unknown), (unknown), Meng Law, Anton N. Hasso, (unknown), Fabìo Macciardi, Steven G. Potkin	4
14	Infrastructure for sharing standardized clinical brain scans across hospitals 2011 ·Theo G.M. van Erp, Ann Chervenak, Carl Kesselman, Mike D’Arcy, Janet L. Sobell, David B. Keator, (unknown), (unknown), Meng Law, Anton N. Hasso, (unknown), Fabìo Macciardi, Steven G. Potkin	2
15	Monitoring and Discovery in a Web Services Framework: Functionality and Performance of Globus Toolkit MDS4 2006 ·Jennifer M. Schopf, Ioan Raicu, Laura Pearlman, Neill Miller, Carl Kesselman, Ian Foster, Mike D’Arcy	73
16	Monitoring the Earth System Grid with MDS4 2006 ·Ann Chervenak, Jennifer M. Schopf, Laura Pearlman, Mei-Hui Su, S. Bharathi, L. Cinquini, Mike D’Arcy, Neill Miller, David E. Bernholdt	14
17	Monitoring the grid with the Globus Toolkit MDS4 2006 ·Journal of Physics Conference Series ·Jennifer M. Schopf, Laura Pearlman, Neill Miller, Carl Kesselman, Ian Foster, Mike D’Arcy, Ann Chervenak	40
18	Monitoring the Earth System Grid with MDS4 2006 ·Ann Chervenak, Jennifer M. Schopf, Laura Pearlman, Mei-Hui Su, S. Bharathi, L. Cinquini, Mike D’Arcy, Neill Miller, David E. Bernholdt	15

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