Anika Schumann

683 total citations
32 papers, 396 citations indexed

About

Anika Schumann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Building and Construction. According to data from OpenAlex, Anika Schumann has authored 32 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Building and Construction. Recurrent topics in Anika Schumann's work include Formal Methods in Verification (8 papers), Petri Nets in System Modeling (7 papers) and Building Energy and Comfort Optimization (6 papers). Anika Schumann is often cited by papers focused on Formal Methods in Verification (8 papers), Petri Nets in System Modeling (7 papers) and Building Energy and Comfort Optimization (6 papers). Anika Schumann collaborates with scholars based in Australia, Ireland and Germany. Anika Schumann's co-authors include Yannick Pencolé, Joern Ploennigs, Ioana Giurgiu, Bernard S. Gorman, W. Enghardt, F. Fiedler, Sylvie Thiébaux, M. Priegnitz, G. Pausch and F. Hueso-González and has published in prestigious journals such as Physics in Medicine and Biology, IEEE Transactions on Industrial Informatics and Radiotherapy and Oncology.

In The Last Decade

Anika Schumann

31 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anika Schumann Australia	12	150	74	71	68	68	32	396
Mong‐Fong Horng Taiwan	11	132 0.9×	18 0.2×	15 0.2×	24 0.4×	82 1.2×	53	472
A. Manikandan India	15	156 1.0×	11 0.1×	6 0.1×	17 0.3×	21 0.3×	43	545
Xinxin Zhou China	9	163 1.1×	5 0.1×	5 0.1×	13 0.2×	29 0.4×	29	383
Meike Nauta Netherlands	8	396 2.6×	3 0.0×	13 0.2×	12 0.2×	34 0.5×	13	620
Xin Xie China	10	154 1.0×	9 0.1×	5 0.1×	3 0.0×	76 1.1×	59	395
C. Chandrasekar India	11	155 1.0×	2 0.0×	11 0.2×	56 0.8×	19 0.3×	90	472
Tahereh Hassanzadeh Australia	12	246 1.6×	2 0.0×	36 0.5×	18 0.3×	10 0.1×	26	416
Manas Ranjan Senapati India	15	258 1.7×	3 0.0×	6 0.1×	12 0.2×	28 0.4×	48	543

Countries citing papers authored by Anika Schumann

Since Specialization

Citations

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

Fields of papers citing papers by Anika Schumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Schumann

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

All Works

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20 of 20 papers shown

Giurgiu, Ioana, et al.. (2019). MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 952–957. 33 indexed citations

Schumann, Anika, et al.. (2019). On Evaluating Explainability Algorithms. 1 indexed citations

Priegnitz, M., Anika Schumann, W. Enghardt, et al.. (2017). Requirements for a Compton camera forin vivorange verification of proton therapy. Physics in Medicine and Biology. 62(7). 2795–2811. 29 indexed citations

Schumann, Anika, et al.. (2016). From prompt gamma distribution to dose: a novel approach combining an evolutionary algorithm and filtering based on Gaussian-powerlaw convolutions. Physics in Medicine and Biology. 61(19). 6919–6934. 20 indexed citations

Priegnitz, M., Anika Schumann, W. Enghardt, et al.. (2016). Clinical applicability of the Compton camera for Prompt γ-ray Imaging during proton therapy. Radiotherapy and Oncology. 118. S90–S91. 2 indexed citations

Schumann, Anika, J. Petzoldt, P. Dendooven, et al.. (2015). Simulation and experimental verification of prompt gamma-ray emissions during proton irradiation. Physics in Medicine and Biology. 60(10). 4197–4207. 20 indexed citations

Golnik, C., W. Enghardt, F. Hueso-González, et al.. (2015). Simulation Study of a Combined Pair Production – Compton Camera for In-Vivo Dosimetry During Therapeutic Proton Irradiation. IEEE Transactions on Nuclear Science. 62(5). 2023–2030. 5 indexed citations

Schumann, Anika & Freddy Lécué. (2015). Minimizing User Involvement for Accurate Ontology Matching Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 5 indexed citations

Schumann, Anika, Joern Ploennigs, & Bernard S. Gorman. (2014). Towards automating the deployment of energy saving approaches in buildings. 164–167. 31 indexed citations

10.

Kotoulas, Spyros, Vanessa López, Marco Luca Sbodio, et al.. (2014). SPUD - Semantic Processing of Urban Data. SSRN Electronic Journal. 1 indexed citations

11.

Bader, Sebastian, Anika Schumann, Stephan Sigg, et al.. (2013). Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities. International Joint Conference on Artificial Intelligence. 1 indexed citations

12.

Schumann, Anika, et al.. (2011). Adaptable fault identification for smart buildings. National Conference on Artificial Intelligence. 44–47. 9 indexed citations

13.

Schumann, Anika & Nic Wilson. (2011). Predicting the distribution of thermal comfort votes. 480–489. 1 indexed citations

14.

Schumann, Anika & Martin Sachenbacher. (2010). Computing Energy-Optimal Tests using DNNF Graphs. Annual Conference of the PHM Society. 2(2).

15.

Schumann, Anika, et al.. (2008). A scalable jointree algorithm for diagnosability. ANU Open Research (Australian National University). 535–540. 7 indexed citations

16.

Schumann, Anika, Yannick Pencolé, & Sylvie Thiébaux. (2007). A spectrum of symbolic on-line diagnosis approaches. ANU Open Research (Australian National University). 335–340. 10 indexed citations

17.

Schumann, Anika & Yannick Pencolé. (2007). Scalable diagnosability checking of event-driven systems. ANU Open Research (Australian National University). 575–580. 24 indexed citations

18.

Schumann, Anika & Yannick Pencolé. (2006). EFFICIENT ON-LINE FAILURE IDENTIFICATION FOR DISCRETE-EVENT SYSTEMS 1. IFAC Proceedings Volumes. 39(13). 1294–1299. 3 indexed citations

19.

Schumann, Anika, Yannick Pencolé, & Sylvie Thiébaux. (2004). Symbolic models for diagnosing discrete-event systems. ANU Open Research (Australian National University). 1085–1086. 3 indexed citations

20.

Schumann, Anika, Yannick Pencolé, & Sylvie Thiébaux. (2004). Diagnosis of discrete-event systems using binary decision diagrams. ANU Open Research (Australian National University). 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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