Ewa Andrejczuk

912 total citations
9 papers, 60 citations indexed

About

Ewa Andrejczuk is a scholar working on Social Psychology, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Ewa Andrejczuk has authored 9 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 5 papers in Artificial Intelligence and 2 papers in Strategy and Management. Recurrent topics in Ewa Andrejczuk's work include Team Dynamics and Performance (4 papers), Multi-Agent Systems and Negotiation (2 papers) and Business Strategy and Innovation (2 papers). Ewa Andrejczuk is often cited by papers focused on Team Dynamics and Performance (4 papers), Multi-Agent Systems and Negotiation (2 papers) and Business Strategy and Innovation (2 papers). Ewa Andrejczuk collaborates with scholars based in Singapore, Spain and United States. Ewa Andrejczuk's co-authors include Carles Sierra, Juan A. Rodríguez-Aguilar, Zhiguang Cao, Jie Zhang, Shuo Chen, Filippo Bistaffa, Christian Blum, Francesco Piccinno, Julian Martin Eisenschlos and Yasemin Altün and has published in prestigious journals such as Knowledge-Based Systems, Lecture notes in computer science and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Ewa Andrejczuk

8 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ewa Andrejczuk Singapore	5	30	13	9	9	8	9	60
Zhiping Xiao United States	6	39 1.3×	12 0.9×	3 0.3×	16 1.8×	16 2.0×	15	95
Samira Abnar Netherlands	5	65 2.2×	13 1.0×	3 0.3×	12 1.3×	9 1.1×	6	99
Ann Clifton Canada	5	63 2.1×	9 0.7×	4 0.4×	15 1.7×	4 0.5×	11	89
Micah Carroll United States	5	46 1.5×	5 0.4×	14 1.6×	8 0.9×	3 0.4×	5	84
M. Canan United States	5	15 0.5×	13 1.0×	16 1.8×	14 1.6×	5 0.6×	18	64
Dagmar Gromann Austria	6	89 3.0×	9 0.7×	4 0.4×	7 0.8×		26	114
Laure Soulier France	7	62 2.1×	21 1.6×	2 0.2×	25 2.8×	6 0.8×	25	93
Sanaz Bahargam United States	4	19 0.6×	4 0.3×	4 0.4×	11 1.2×	7 0.9×	5	52
Isabelle Tellier France	5	49 1.6×	12 0.9×	2 0.2×	31 3.4×	3 0.4×	21	78
Philip Raschke Germany	4	21 0.7×	8 0.6×	5 0.6×	20 2.2×	4 0.5×	10	66

Countries citing papers authored by Ewa Andrejczuk

Since Specialization

Citations

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

Fields of papers citing papers by Ewa Andrejczuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Andrejczuk

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Andrejczuk, Ewa, et al.. (2022). Table-To-Text generation and pre-training with TabT5. 6758–6766. 10 indexed citations

2.

Luo, Tie, et al.. (2021). A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. Autonomous Agents and Multi-Agent Systems. 1707–1708. 3 indexed citations

3.

Chen, Shuo, Ewa Andrejczuk, Zhiguang Cao, & Jie Zhang. (2020). AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7095–7102. 13 indexed citations

4.

Andrejczuk, Ewa, Filippo Bistaffa, Christian Blum, Juan A. Rodríguez-Aguilar, & Carles Sierra. (2019). Synergistic team composition: A computational approach to foster diversity in teams. Knowledge-Based Systems. 182. 104799–104799. 17 indexed citations

5.

Chen, Shuo, Ewa Andrejczuk, Athirai A. Irissappane, & Jie Zhang. (2019). ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. DR-NTU (Nanyang Technological University). 172–179. 5 indexed citations

6.

Andrejczuk, Ewa, et al.. (2018). The composition and formation of effective teams: computer science meets organizational psychology. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 4 indexed citations

7.

Andrejczuk, Ewa, Juan A. Rodríguez-Aguilar, & Carles Sierra. (2017). A Concise Review on Multiagent Teams: Contributions and Research Opportunities. Lecture notes in computer science. 31–39. 6 indexed citations

8.

Andrejczuk, Ewa, et al.. (2017). Synergistic Team Composition. 1463–1465.

9.

Andrejczuk, Ewa, Juan A. Rodríguez-Aguilar, & Carles Sierra. (2016). Optimising Congenial Teams. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2 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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