Tanu Malik

3.1k total citations
64 papers, 514 citations indexed

About

Tanu Malik is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Tanu Malik has authored 64 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 34 papers in Information Systems and Management and 25 papers in Information Systems. Recurrent topics in Tanu Malik's work include Scientific Computing and Data Management (34 papers), Distributed and Parallel Computing Systems (28 papers) and Advanced Data Storage Technologies (26 papers). Tanu Malik is often cited by papers focused on Scientific Computing and Data Management (34 papers), Distributed and Parallel Computing Systems (28 papers) and Advanced Data Storage Technologies (26 papers). Tanu Malik collaborates with scholars based in United States, United Kingdom and India. Tanu Malik's co-authors include Alexander S. Szalay, Randal Burns, Ian Foster, Ani Thakar, Ashish Gehani, Jim Gray, Christopher Stoughton, Jan Vandenberg, Quan Pham and Peter Kunszt and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Microbiology.

In The Last Decade

Tanu Malik

59 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanu Malik United States 13 287 215 194 121 100 64 514
M. A. Nieto‐Santisteban United States 8 297 1.0× 213 1.0× 154 0.8× 83 0.7× 88 0.9× 26 481
Arcot Rajasekar United States 15 446 1.6× 321 1.5× 241 1.2× 15 0.1× 92 0.9× 58 733
Line Pouchard United States 12 174 0.6× 160 0.7× 195 1.0× 28 0.2× 182 1.8× 54 491
Stephan Zednik United States 10 87 0.3× 184 0.9× 172 0.9× 25 0.2× 174 1.7× 28 359
John Graybeal United States 12 83 0.3× 72 0.3× 160 0.8× 42 0.3× 246 2.5× 40 510
Fernando Chirigati United States 12 182 0.6× 210 1.0× 202 1.0× 69 0.6× 175 1.8× 45 514
Daniel Crawl United States 12 260 0.9× 293 1.4× 231 1.2× 14 0.1× 55 0.6× 43 512
Rick Kennell United States 6 279 1.0× 150 0.7× 222 1.1× 90 0.7× 132 1.3× 10 473
Sangmi Lee Pallickara United States 15 344 1.2× 107 0.5× 179 0.9× 139 1.1× 105 1.1× 91 594
Veronika Nefedova United States 12 1.0k 3.5× 476 2.2× 332 1.7× 28 0.2× 82 0.8× 15 1.1k

Countries citing papers authored by Tanu Malik

Since Specialization
Citations

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

Fields of papers citing papers by Tanu Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanu Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Tanu Malik. A scholar is included among the top collaborators of Tanu Malik 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 Tanu Malik. Tanu Malik 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.
Malik, Tanu, et al.. (2024). Kondo: Efficient Provenance-Driven Data Debloating. 4965–4978. 1 indexed citations
2.
3.
Malik, Tanu, et al.. (2023). Querying Container Provenance. 1564–1567.
4.
Kanj, Iyad, et al.. (2023). Efficient Differencing of System-level Provenance Graphs. 4220–4223.
5.
Deutch, Daniel, Tanu Malik, & Adriane Chapman. (2022). Theory and Practice of Provenance. Proceedings of the 2022 International Conference on Management of Data. 2544–2545. 2 indexed citations
6.
Malik, Tanu, et al.. (2022). CHEX. Proceedings of the VLDB Endowment. 15(6). 1297–1310. 5 indexed citations
7.
8.
Malik, Tanu, et al.. (2022). Expanding the Scope of Artifact Evaluation at HPC Conferences. 3–9. 1 indexed citations
9.
Wagner, James, et al.. (2020). DF-toolkit. Proceedings of the VLDB Endowment. 13(12). 2845–2848. 5 indexed citations
10.
Goodall, Jonathan L., et al.. (2018). Integrating scientific cyberinfrastructures to improve reproducibility in computational hydrology: Example for HydroShare and GeoTrust. Environmental Modelling & Software. 105. 217–229. 26 indexed citations
11.
Wagner, James, et al.. (2018). PLI $$^+$$ + : efficient clustering of cloud databases. Distributed and Parallel Databases. 37(1). 177–208. 4 indexed citations
12.
Wagner, James, et al.. (2017). Database Forensic Analysis with DBCarver. Conference on Innovative Data Systems Research. 13 indexed citations
13.
Castronova, Anthony M., Christina Bandaragoda, Mohamed M. Morsy, et al.. (2017). Cyberinfrastructure to Support Collaborative and Reproducible Computational Hydrologic Modeling. AGUFM. 2017. 1 indexed citations
14.
Catlett, Charlie, et al.. (2014). Plenario: An Open Data Discovery and Exploration Platform for Urban Science.. IEEE Data(base) Engineering Bulletin. 37(4). 27–34. 18 indexed citations
15.
Zaslavsky, Ilya, Luis Bermúdez, Jeffrey S. Grethe, et al.. (2014). CINERGI: Community Inventory of EarthCube Resources for Geoscience Interoperability. EGU General Assembly Conference Abstracts. 4792. 1 indexed citations
16.
Malik, Tanu, Neil Best, Joshua Elliott, Ravi Madduri, & Ian Foster. (2011). Improving the efficiency of subset queries on raster images. 34–37. 3 indexed citations
17.
Malik, Tanu, et al.. (2008). Rule-Based Classification Systems for Informatics. 22. 420–421. 1 indexed citations
18.
Budavári, Tamás, et al.. (2002). SkyQuery - A Prototype Distributed Query and Cross-Matching Web Service for the Virtual Observatory. AAS. 201. 1 indexed citations
19.
Szalay, Alexander S., Tamás Budavári, Tanu Malik, Jim Gray, & Ani Thakar. (2002). <title>Web services for the Virtual Observatory</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4846. 124–132. 8 indexed citations
20.
Green, Sue, Tanu Malik, Ian G. Giles, & W. T. Drabble. (1996). The purB gene of Escherichia coli K-12 is located in an operon. Microbiology. 142(11). 3219–3230. 21 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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