Maya Daneva

4.3k total citations · 1 hit paper
149 papers, 2.4k citations indexed

About

Maya Daneva is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Maya Daneva has authored 149 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Information Systems, 49 papers in Management Information Systems and 36 papers in Artificial Intelligence. Recurrent topics in Maya Daneva's work include Software Engineering Techniques and Practices (85 papers), Software Engineering Research (80 papers) and Advanced Software Engineering Methodologies (32 papers). Maya Daneva is often cited by papers focused on Software Engineering Techniques and Practices (85 papers), Software Engineering Research (80 papers) and Advanced Software Engineering Methodologies (32 papers). Maya Daneva collaborates with scholars based in Netherlands, Canada and China. Maya Daneva's co-authors include Roel Wieringa, Andrea Herrmann, Irum Inayat, Siti Salwah Salim, Sabrina Marczak, Shahaboddin Shamshirband, Chintan Amrit, Klaas Sikkel, Daniel Méndez and Marco Kuhrmann and has published in prestigious journals such as Computers in Human Behavior, Journal of Lightwave Technology and IEEE Software.

In The Last Decade

Maya Daneva

141 papers receiving 2.2k citations

Hit Papers

A systematic literature review on agile requirements engi... 2014 2026 2018 2022 2014 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
Maya Daneva Netherlands 24 1.8k 613 547 418 299 149 2.4k
Félix García Spain 28 1.7k 0.9× 862 1.4× 524 1.0× 413 1.0× 360 1.2× 177 2.7k
Muhammad Ali Babar Australia 28 2.1k 1.1× 534 0.9× 672 1.2× 737 1.8× 267 0.9× 131 2.9k
Markku Oivo Finland 26 1.5k 0.9× 387 0.6× 292 0.5× 400 1.0× 369 1.2× 101 2.2k
Aybüke Aurum Australia 24 2.0k 1.1× 482 0.8× 693 1.3× 317 0.8× 450 1.5× 79 2.9k
Austen Rainer United Kingdom 18 1.8k 1.0× 584 1.0× 495 0.9× 238 0.6× 407 1.4× 78 2.3k
Jürgen Münch Germany 25 1.6k 0.9× 446 0.7× 345 0.6× 291 0.7× 381 1.3× 140 2.1k
Arif Ali Khan China 27 1.5k 0.8× 635 1.0× 453 0.8× 337 0.8× 154 0.5× 122 2.2k
Ken Schwaber Bermuda 4 1.8k 1.0× 430 0.7× 348 0.6× 362 0.9× 295 1.0× 7 2.4k
Coral Calero Spain 24 1.1k 0.6× 385 0.6× 555 1.0× 441 1.1× 305 1.0× 119 2.0k
Reidar Conradi Norway 25 2.0k 1.1× 589 1.0× 949 1.7× 498 1.2× 562 1.9× 124 2.6k

Countries citing papers authored by Maya Daneva

Since Specialization
Citations

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

Fields of papers citing papers by Maya Daneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Daneva

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Daneva. A scholar is included among the top collaborators of Maya Daneva 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 Maya Daneva. Maya Daneva 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.
Ilayperuma, Tharaka, et al.. (2024). The evolution of data storage architectures: examining the secure value of the Data Lakehouse. University of Twente Research Information. 6(4). 309–334. 2 indexed citations
2.
Jiang, Jingwen, et al.. (2023). CoolTeD: A tool for co-labeling and visual analysis of textual dataset. Science of Computer Programming. 227. 102940–102940.
3.
Huang, Kun, et al.. (2023). RoseMatcher: Identifying the impact of user reviews on app updates. Information and Software Technology. 161. 107261–107261. 6 indexed citations
4.
Daneva, Maya, et al.. (2019). Quality requirements challenges in the context of large-scale distributed agile: An empirical study. Information and Software Technology. 110. 39–55. 57 indexed citations
5.
Daneva, Maya, et al.. (2018). Empirical validation of a software requirements specification checklist. University of Twente Research Information. 2075. 3 indexed citations
6.
Daneva, Maya, et al.. (2017). Agile Practitioners’ Understanding of Security Requirements: Insights from a Grounded Theory Analysis. University of Twente Research Information. 439–442. 15 indexed citations
7.
Daneva, Maya. (2015). Focus group: cost-effective and methodologically sound ways to get practitioners involved in your empirical RE research. University of Twente Research Information. 211–216. 5 indexed citations
8.
Ghaisas, Smita, et al.. (2013). Generalizing by similarity: lessons learnt from industrial case studies. 37–42. 18 indexed citations
9.
Daneva, Maya, et al.. (2013). Handling requirements dependencies in agile projects: A focus group with agile software development practitioners. University of Twente Research Information. 1–11. 29 indexed citations
10.
Condorí-Fernández, Nelly, Roelf J. Wieringa, Maya Daneva, Bela Mutschler, & Óscar Pastor. (2012). An Experimental Evaluation of a Unified Checklist for Designing and Reporting Empirical Research in Software Engineering. University of Twente Research Information. 4 indexed citations
11.
Condorí-Fernández, Nelly, Maya Daneva, & Roelf J. Wieringa. (2012). Preliminary Survey on Empirical Research Practices in Requirements Engineering. University of Twente Research Information. 3 indexed citations
12.
Daneva, Maya, Klaas Sikkel, Nelly Condorí-Fernández, & Andrea Herrmann. (2011). Experiences in Using Practitioner’s Checklists to Evaluate the Relevance of Experiments Reported in Requirements Engineering. University of Twente Research Information. 1 indexed citations
13.
Daneva, Maya, et al.. (2009). Reprioritizing the Requirements in Agile Software Development: Towards a Conceptual Model from Clients' Perspective. University of Twente Research Information. 73–80. 2 indexed citations
14.
Daneva, Maya, et al.. (2008). Validating the domains of an inter-organizational business-IT alignment assessment instrument: A case study. CTIT technical report series. 1 indexed citations
15.
Wieringa, Roelf J., et al.. (2007). Towards Information Systems Design for Value Webs. University of Twente Research Information. 453–460. 3 indexed citations
16.
Kassab, Mohamad, Maya Daneva, & Olga Ormandjieva. (2007). Early Quantitative Assessment of Non-Functional Requirements. Data Archiving and Networked Services (DANS). 11 indexed citations
17.
Daneva, Maya, et al.. (2007). Developing an inter-enterprise alignment maturity model: research challenges and solutions. 51–60. 9 indexed citations
18.
Daneva, Maya, et al.. (2007). What Enterprise Architecture and Enterprise Systems Usage Can and Can not Tell about Each Other. University of Twente Research Information. 4 indexed citations
19.
Daneva, Maya. (2006). Applying Real Options Thinking to Information Security in Networked Organizations. University of Twente Research Information. 21 indexed citations
20.
Daneva, Maya, et al.. (2006). Challenges and Solutions in Planning Information Systems for Networked Value Constellations. University of Twente Research Information. 119–131. 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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