Christoph Stanik

506 total citations
6 papers, 331 citations indexed

About

Christoph Stanik is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Christoph Stanik has authored 6 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Christoph Stanik's work include Software Engineering Research (4 papers), Advanced Malware Detection Techniques (2 papers) and Advanced Text Analysis Techniques (1 paper). Christoph Stanik is often cited by papers focused on Software Engineering Research (4 papers), Advanced Malware Detection Techniques (2 papers) and Advanced Text Analysis Techniques (1 paper). Christoph Stanik collaborates with scholars based in Germany and Egypt. Christoph Stanik's co-authors include Walid Maalej, Zijad Kurtanović, Timo Johann, Jean-Marc Seigneur and Davide Fucci and has published in prestigious journals such as Requirements Engineering.

In The Last Decade

Christoph Stanik

6 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christoph Stanik Germany	4	263	107	54	48	38	6	331
Tam The Nguyen United States	9	253 1.0×	74 0.7×	50 0.9×	31 0.6×	59 1.6×	17	317
Jichuan Zeng Hong Kong	10	259 1.0×	256 2.4×	52 1.0×	28 0.6×	31 0.8×	15	436
Safwat Hassan Canada	10	194 0.7×	60 0.6×	66 1.2×	46 1.0×	37 1.0×	25	315
Zijad Kurtanović Germany	7	401 1.5×	166 1.6×	52 1.0×	55 1.1×	98 2.6×	9	494
Grant Williams United States	8	196 0.7×	75 0.7×	49 0.9×	51 1.1×	25 0.7×	10	269
Stuart Mcilroy Canada	5	234 0.9×	62 0.6×	108 2.0×	46 1.0×	34 0.9×	7	360
Steffen Dienst Germany	8	213 0.8×	68 0.6×	47 0.9×	53 1.1×	69 1.8×	12	318
Dragutin Kermek Croatia	8	119 0.5×	45 0.4×	17 0.3×	74 1.5×	29 0.8×	25	261
Yogesh Deshpande Australia	9	204 0.8×	43 0.4×	42 0.8×	19 0.4×	30 0.8×	32	290
José M. Del Álamo Spain	11	167 0.6×	149 1.4×	194 3.6×	65 1.4×	31 0.8×	46	383

Countries citing papers authored by Christoph Stanik

Since Specialization

Citations

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

Fields of papers citing papers by Christoph Stanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Stanik

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

All Works

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6 of 6 papers shown

1.

Stanik, Christoph, et al.. (2021). Automatically Matching Bug Reports With Related App Reviews. 970–981. 31 indexed citations

2.

Stanik, Christoph, et al.. (2020). Which App Features Are Being Used? Learning App Feature Usages from Interaction Data. 66–77. 6 indexed citations

3.

Fucci, Davide, et al.. (2018). Research on NLP for RE at the University of Hamburg: A Report.. 1 indexed citations

4.

Johann, Timo, et al.. (2017). SAFE: A Simple Approach for Feature Extraction from App Descriptions and App Reviews. 21–30. 107 indexed citations

5.

Maalej, Walid, et al.. (2016). On the automatic classification of app reviews. Requirements Engineering. 21(3). 311–331. 185 indexed citations

6.

Seigneur, Jean-Marc, et al.. (2014). MUSES D7.2 - Policy recommendations for the existing legal framework. 1 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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