Zijad Kurtanović

733 total citations
9 papers, 494 citations indexed

About

Zijad Kurtanović is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Zijad Kurtanović has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Zijad Kurtanović's work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Zijad Kurtanović is often cited by papers focused on Software Engineering Research (6 papers), Software Engineering Techniques and Practices (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Zijad Kurtanović collaborates with scholars based in Germany, Austria and Spain. Zijad Kurtanović's co-authors include Walid Maalej, Christoph Stanik, Alexander Felfernig, Julius Reimer, L. Merten, Wiebke Loosen, Cristina Palomares, Dolors Costal, Andreas Falkner and Davide Fucci and has published in prestigious journals such as Requirements Engineering, Studies in Communication and Media and Työväentutkimus Vuosikirja.

In The Last Decade

Zijad Kurtanović

9 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zijad Kurtanović Germany	7	401	166	98	70	55	9	494
Heitor Costa Brazil	12	280 0.7×	81 0.5×	158 1.6×	59 0.8×	86 1.6×	72	436
Fábio Petrillo Canada	13	291 0.7×	122 0.7×	83 0.8×	138 2.0×	95 1.7×	58	475
Josh Dehlinger United States	13	239 0.6×	145 0.9×	134 1.4×	45 0.6×	45 0.8×	46	446
Bin Lin Switzerland	13	406 1.0×	183 1.1×	100 1.0×	88 1.3×	176 3.2×	35	599
Gül Çalıklı United Kingdom	11	297 0.7×	76 0.5×	133 1.4×	55 0.8×	57 1.0×	35	372
Girish Suryanarayana Germany	13	319 0.8×	146 0.9×	130 1.3×	161 2.3×	42 0.8×	20	422
Rafael de Mello Brazil	14	460 1.1×	103 0.6×	161 1.6×	137 2.0×	128 2.3×	57	549
Hazeline U. Asuncion United States	8	368 0.9×	135 0.8×	139 1.4×	84 1.2×	107 1.9×	25	456
Henry Feild United States	11	409 1.0×	167 1.0×	142 1.4×	53 0.8×	80 1.5×	23	488
Christoph Stanik Germany	4	263 0.7×	107 0.6×	38 0.4×	24 0.3×	48 0.9×	6	331

Countries citing papers authored by Zijad Kurtanović

Since Specialization

Citations

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

Fields of papers citing papers by Zijad Kurtanović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zijad Kurtanović

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

All Works

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9 of 9 papers shown

1.

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

2.

Fucci, Davide, Cristina Palomares, Xavier Franch, et al.. (2018). Needs and challenges for a platform to support large-scale requirements engineering. Työväentutkimus Vuosikirja. 1–10. 9 indexed citations

3.

Kurtanović, Zijad & Walid Maalej. (2018). On user rationale in software engineering. Requirements Engineering. 23(3). 357–379. 44 indexed citations

4.

Kurtanović, Zijad & Walid Maalej. (2017). Automatically Classifying Functional and Non-functional Requirements Using Supervised Machine Learning. 490–495. 171 indexed citations

5.

Kurtanović, Zijad & Walid Maalej. (2017). Mining User Rationale from Software Reviews. 61–70. 52 indexed citations

6.

Loosen, Wiebke, et al.. (2017). Making sense of user comments: Identifying journalists’ requirements for a comment analysis framework. Studies in Communication and Media. 6(4). 333–364. 17 indexed citations

7.

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

8.

Kurtanović, Zijad, et al.. (2015). A survey about user requirements for biometric authentication on smartphones. 1–6. 10 indexed citations

9.

Maalej, Walid, Zijad Kurtanović, & Alexander Felfernig. (2014). What stakeholders need to know about requirements. 5 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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