I. Fisk

44.3k total citations · 1 hit paper
26 papers, 608 citations indexed

About

I. Fisk is a scholar working on Computer Networks and Communications, Information Systems and Management and Molecular Biology. According to data from OpenAlex, I. Fisk has authored 26 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 14 papers in Information Systems and Management and 4 papers in Molecular Biology. Recurrent topics in I. Fisk's work include Distributed and Parallel Computing Systems (19 papers), Advanced Data Storage Technologies (15 papers) and Scientific Computing and Data Management (14 papers). I. Fisk is often cited by papers focused on Distributed and Parallel Computing Systems (19 papers), Advanced Data Storage Technologies (15 papers) and Scientific Computing and Data Management (14 papers). I. Fisk collaborates with scholars based in United States, Switzerland and Spain. I. Fisk's co-authors include Ramnik J. Xavier, Tomasz Kościółek, Daniel Berenberg, Vladimir Gligorijević, Rob Knight, Chris Chandler, Bryn C. Taylor, Tommi Vatanen, Julia Koehler Leman and P. Douglas Renfrew and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Food Chemistry.

In The Last Decade

I. Fisk

22 papers receiving 597 citations

Hit Papers

align trajectories

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.

Structure-based protein function prediction using graph convolutional networks

2021 467 citations Vladimir Gligorijević, P. Douglas Renfrew et al. Nature Communications profile →

Peers

I. Fisk

MB

CTM

CNC

MC

ISM

Cam Macdonell Canada

Ling‐Hong Hung United States

Jiří Filipovič Czechia

Mayya Sedova United States

Golan Yona United States

Stefan J. Zasada United Kingdom

Matúš Kalaš Norway

Luca Pireddu Italy

Vladimir Voevodin Russia

Corinna Vehlow Germany

Cam Macdonell Canada

I. Fisk

376 ×0.9

MB

32 ×0.3

CTM

25 ×0.3

CNC

34 ×0.6

MC

16 ×0.4

ISM

Citations per year, relative to I. Fisk I. Fisk (= 1×) peers Cam Macdonell

Countries citing papers authored by I. Fisk

Since Specialization

Citations

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

Fields of papers citing papers by I. Fisk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Fisk

This figure shows the co-authorship network connecting the top 25 collaborators of I. Fisk. A scholar is included among the top collaborators of I. Fisk 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 I. Fisk. I. Fisk 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:

20 of 20 papers shown

1.

Zhou, Zheng, Liang Wang, Meng Dong, et al.. (2025). Unraveling the lipid photooxidation reactions in salmon oil under different light wavelength conditions via omics approaches. Food Chemistry. 488. 144867–144867. 1 indexed citations

2.

Bloom, S, Joshua C. Brumberg, I. Fisk, et al.. (2025). Empire AI: A new model for provisioning AI and HPC for academic research in the public good. 1–4. 1 indexed citations

3.

Leman, Julia Koehler, P. Douglas Renfrew, Vladimir Gligorijević, et al.. (2023). Sequence-structure-function relationships in the microbial protein universe. Nature Communications. 14(1). 2351–2351. 44 indexed citations

4.

Bhimji, Wahid, Eli Dart, J. Duarte, et al.. (2023). Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7(1).

5.

Gligorijević, Vladimir, P. Douglas Renfrew, Tomasz Kościółek, et al.. (2021). Structure-based protein function prediction using graph convolutional networks. Nature Communications. 12(1). 3168–3168. 467 indexed citations breakdown →

6.

Chapman, Natalie H., et al.. (2019). Exploring the Effects of Tomato Extract Supplementation on Cognitive Function during Exercise and at Rest. Repository@Nottingham (University of Nottingham). 6(2). 1 indexed citations

7.

Roberts, Andrew M., Aaron K. Wong, I. Fisk, & Olga G. Troyanskaya. (2016). GIANT API: an application programming interface for functional genomics. Nucleic Acids Research. 44(W1). W587–W592. 2 indexed citations

8.

Grandi, C., D. Bonacorsi, D. Colling, I. Fisk, & M. Girone. (2014). CMS computing model evolution. Journal of Physics Conference Series. 513(3). 32039–32039. 3 indexed citations

9.

Bloom, K., I. Fisk, P. Kreuzer, & G. Merino. (2012). Trying to predict the future – resource planning and allocation in CMS. Journal of Physics Conference Series. 396(4). 42035–42035.

10.

Andrews, W., Brian Bockelman, D Bradley, et al.. (2011). Early experience on using glideinWMS in the cloud. Journal of Physics Conference Series. 331(6). 62014–62014. 2 indexed citations

11.

Belforte, S., A. Fanfani, I. Fisk, et al.. (2010). Bringing the CMS distributed computing system into scalable operations. Journal of Physics Conference Series. 219(6). 62015–62015.

12.

Fisk, I., et al.. (2010). Challenges for the CMS computing model in the first year. Journal of Physics Conference Series. 219(7). 72004–72004. 1 indexed citations

13.

Belforte, S., I. Fisk, J. Flix, et al.. (2010). The commissioning of CMS sites: Improving the site reliability. Journal of Physics Conference Series. 219(6). 62047–62047. 6 indexed citations

14.

Sciabà, A., S. Belforte, I. Fisk, et al.. (2009). The commissioning of CMS computing centres in the WLCG Grid. 43–43. 3 indexed citations

15.

Lorch, Markus, Dennis Kafura, I. Fisk, et al.. (2008). Authorisation and identity mapping services for the Open Science Grid. International Journal of High Performance Computing and Networking. 5(3). 144–144. 1 indexed citations

16.

Rana, Abhishek, Frank Würthwein, R.D. Kennedy, et al.. (2006). Introducing Advanced Fine-grained Security in dCache-SRM for PetaByte-scale Storage Systems on Global Data Grids: gPLAZMA `grid-aware PLuggable AuthoriZation MAnagement System'. 2006 IEEE Nuclear Science Symposium Conference Record. 632–636.

17.

Legrand, I., Rob Quick, R. W. Gardner, et al.. (2005). Grid2003 Monitoring, Metrics, and Grid Cataloging System. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

18.

Fisk, I., et al.. (2005). Managed Data Storage and Data Access Services for Data Grids. CERN Document Server (European Organization for Nuclear Research). 7 indexed citations

19.

Fisk, I.. (2005). Computing in High Energy Physics. International Journal of Modern Physics A. 20(14). 3021–3032. 4 indexed citations

20.

Graham, G., et al.. (2004). Configuration monitoring tool for large-scale distributed computing. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 534(1-2). 66–69. 3 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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