Michael Gertz

7.6k total citations · 1 hit paper
182 papers, 4.1k citations indexed

About

Michael Gertz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Michael Gertz has authored 182 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 58 papers in Computer Networks and Communications and 51 papers in Signal Processing. Recurrent topics in Michael Gertz's work include Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (41 papers) and Semantic Web and Ontologies (38 papers). Michael Gertz is often cited by papers focused on Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (41 papers) and Semantic Web and Ontologies (38 papers). Michael Gertz collaborates with scholars based in Germany, United States and United Kingdom. Michael Gertz's co-authors include Jannik Strötgen, Aleksandra Galetin, Prémkumar Dévanbu, J. Brian Houston, Omar Alonso, J. Brian Houston, Anand Swaminathan, Christian Bird, Ricardo Baeza‐Yates and Hamed Abdelhaq and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lab on a Chip and Pharmaceutical Research.

In The Last Decade

Michael Gertz

174 papers receiving 3.8k citations

Hit Papers

Mining email social networks 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gertz Germany 33 1.6k 1.1k 691 672 608 182 4.1k
James Noble New Zealand 34 1.6k 1.0× 2.3k 2.2× 103 0.1× 941 1.4× 114 0.2× 269 4.8k
Mario Cannataro Italy 29 739 0.5× 626 0.6× 64 0.1× 633 0.9× 182 0.3× 244 3.4k
Wen Zhang China 46 985 0.6× 408 0.4× 394 0.6× 130 0.2× 119 0.2× 327 7.8k
Michael R. Berthold Germany 25 1.2k 0.7× 552 0.5× 63 0.1× 272 0.4× 97 0.2× 151 4.0k
Hongfang Liu United States 42 3.7k 2.3× 703 0.7× 82 0.1× 241 0.4× 508 0.8× 402 8.4k
George Michailidis United States 47 904 0.6× 140 0.1× 59 0.1× 641 1.0× 360 0.6× 257 7.7k
John Knight United States 31 655 0.4× 683 0.6× 182 0.3× 787 1.2× 57 0.1× 198 3.8k
Niranjan Balasubramanian United States 21 601 0.4× 265 0.2× 123 0.2× 743 1.1× 687 1.1× 71 2.6k
Srinivasan Parthasarathy United States 52 3.0k 1.9× 2.3k 2.1× 62 0.1× 2.6k 3.9× 120 0.2× 398 12.3k
Zhu‐Hong You China 62 1.2k 0.7× 626 0.6× 119 0.2× 472 0.7× 100 0.2× 293 12.3k

Countries citing papers authored by Michael Gertz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gertz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gertz. A scholar is included among the top collaborators of Michael Gertz 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 Michael Gertz. Michael Gertz 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.
Dreyzin, Alexandra, Lipei Shao, Yihua Cai, et al.. (2025). Immunophenotype of CAR T cells and apheresis products predicts response in CD22 CAR T cell trial for B cell acute lymphoblastic leukemia. Molecular Therapy. 33(7). 3360–3374. 3 indexed citations
2.
Parrott, Neil, et al.. (2024). In silico modeling and simulation of organ‐on‐a‐chip systems to support data analysis and a priori experimental design. CPT Pharmacometrics & Systems Pharmacology. 13(4). 524–543. 5 indexed citations
3.
Gertz, Michael, et al.. (2023). Who Is behind a Trend? Temporal Analysis of Interactions among Trend Participants on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 17. 960–969.
4.
Gertz, Michael, et al.. (2022). UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?. 251–258. 9 indexed citations
5.
Strötgen, Jannik, et al.. (2022). Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping. 11498–11513. 3 indexed citations
6.
Gertz, Michael, et al.. (2020). UniHD@CL-SciSumm 2020: Citation Extraction as Search. 261–269. 3 indexed citations
7.
Schubert, Erich & Michael Gertz. (2018). Improving the Cluster Structure Extracted from OPTICS Plots.. 318–329. 23 indexed citations
8.
Gertz, Michael, et al.. (2014). Vertex Similarity - A Basic Framework for Matching Geometric Graphs. LWA. 111–122. 5 indexed citations
9.
Strötgen, Jannik, et al.. (2014). Extending HeidelTime for Temporal Expressions Referring to Historic Dates. Language Resources and Evaluation. 2390–2397. 6 indexed citations
10.
Strötgen, Jannik, et al.. (2014). Computational Narratology: Extracting Tense Clusters from Narrative Texts. Language Resources and Evaluation. 950–955. 7 indexed citations
11.
Strötgen, Jannik, et al.. (2013). HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3. Joint Conference on Lexical and Computational Semantics. 2. 15–19. 28 indexed citations
12.
Karnstedt, Marcel, et al.. (2009). In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles.. eScholarship (California Digital Library). 367–386. 3 indexed citations
13.
Zinn, Daniel, et al.. (2007). Modeling and querying vague spatial objects using shapelets. Very Large Data Bases. 567–578. 4 indexed citations
14.
Gertz, Michael & Quinn Hart. (2006). Geostreams: an online geospatial image database. PhDT. 1 indexed citations
15.
Hart, Quinn & Michael Gertz. (2005). Querying streaming geospatial image data: the geostreams project. 147–150. 6 indexed citations
16.
Hogarth, Michael, Michael Gertz, & Fredric A. Gorin. (2003). jTerm: an open source terminology server.. PubMed. 861–861. 1 indexed citations
17.
Gertz, Michael, et al.. (2002). XQuery/IR: Integrating XML Document and Data Retrieval.. 1–6. 23 indexed citations
18.
Gertz, Michael, et al.. (2001). Quixote: Building XML Repositories from Topic Specific Web Documents.. 103–108. 3 indexed citations
19.
Gertz, Michael. (1997). Diagnosis and Repair of Constraint Violations in Database Systems.. 19. 96. 4 indexed citations
20.
Lipeck, Udo W., Michael Gertz, & Gunter Saake. (1994). Transitional Monitoring of Dynamic Inegrity Constraints.. IEEE Data(base) Engineering Bulletin. 17. 38–42. 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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