Tim Hegeman

480 total citations
10 papers, 181 citations indexed

About

Tim Hegeman is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tim Hegeman has authored 10 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tim Hegeman's work include Cloud Computing and Resource Management (7 papers), Graph Theory and Algorithms (4 papers) and Distributed and Parallel Computing Systems (3 papers). Tim Hegeman is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Graph Theory and Algorithms (4 papers) and Distributed and Parallel Computing Systems (3 papers). Tim Hegeman collaborates with scholars based in Netherlands, Spain and United States. Tim Hegeman's co-authors include Alexandru Iosup, Mihai Capotă, Peter Boncz, Arnau Prat-Pèrez, Orri Erling, Michael Anderson, Narayanan Sundaram, Yinglong Xia, Lifeng Nai and Radu Prodan and has published in prestigious journals such as Computer, IEEE Transactions on Parallel and Distributed Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Tim Hegeman

10 papers receiving 171 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Hegeman Netherlands	6	108	104	104	61	24	10	181
Norbert Martínez-Bazán Spain	7	70 0.6×	99 1.0×	96 0.9×	81 1.3×	8 0.3×	10	186
Herald Kllapi Greece	6	156 1.4×	171 1.6×	26 0.3×	40 0.7×	26 1.1×	8	212
Gábor Szárnyas Hungary	8	48 0.4×	91 0.9×	68 0.7×	76 1.2×	6 0.3×	20	164
Huasha Zhao United States	9	52 0.5×	51 0.5×	47 0.5×	107 1.8×	6 0.3×	12	171
Molham Aref United States	6	95 0.9×	176 1.7×	63 0.6×	115 1.9×	17 0.7×	11	259
Fabrice Huet France	10	101 0.9×	169 1.6×	20 0.2×	44 0.7×	15 0.6×	26	224
Claude Barthels Switzerland	7	133 1.2×	210 2.0×	45 0.4×	36 0.6×	7 0.3×	8	254
Marcus Paradies Germany	7	39 0.4×	137 1.3×	121 1.2×	82 1.3×	6 0.3×	20	186
Mark Raasveldt Netherlands	8	67 0.6×	144 1.4×	47 0.5×	63 1.0×	32 1.3×	11	218
Oskar van Rest United States	5	34 0.3×	140 1.3×	166 1.6×	108 1.8×	7 0.3×	5	229

Countries citing papers authored by Tim Hegeman

Since Specialization

Citations

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

Fields of papers citing papers by Tim Hegeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hegeman

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

All Works

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10 of 10 papers shown

1.

Hegeman, Tim, Matthijs Jansen, Alexandru Iosup, & Animesh Trivedi. (2021). GradeML: Towards Holistic Performance Analysis for Machine Learning Workflows. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 57–63. 1 indexed citations

2.

Versluis, Laurens, et al.. (2020). The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures. IEEE Transactions on Parallel and Distributed Systems. 31(9). 2170–2184. 21 indexed citations

3.

Hegeman, Tim, Animesh Trivedi, & Alexandru Iosup. (2020). Grade10: A Framework for Performance Characterization of Distributed Graph Processing. Data Archiving and Networked Services (DANS). 57–68. 1 indexed citations

4.

Hegeman, Tim, et al.. (2017). Granula. 1–6. 6 indexed citations

5.

Iosup, Alexandru, Tim Hegeman, Arnau Prat-Pèrez, et al.. (2016). LDBC graphalytics. Proceedings of the VLDB Endowment. 9(13). 1317–1328. 82 indexed citations

6.

Hegeman, Tim, et al.. (2015). Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters. Computer. 48(7). 46–54. 13 indexed citations

7.

Capotă, Mihai, Tim Hegeman, Alexandru Iosup, et al.. (2015). Graphalytics. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–6. 41 indexed citations

8.

Hegeman, Tim, et al.. (2014). Nebu: A topology-aware deployment system for reliable virtualized multi-cluster environments. Research Repository (Delft University of Technology). 1 indexed citations

9.

Capotă, Mihai, et al.. (2014). V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows. Research Repository (Delft University of Technology). 927–932. 2 indexed citations

10.

Hegeman, Tim, et al.. (2013). The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation. TU/e Research Portal. 2. 622–630. 13 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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