Niek Tax

58 total papers · 1.2k total citations
21 papers, 198 citations indexed

About

Niek Tax is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Niek Tax has authored 21 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 13 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Niek Tax's work include Business Process Modeling and Analysis (14 papers), Service-Oriented Architecture and Web Services (9 papers) and Semantic Web and Ontologies (5 papers). Niek Tax is often cited by papers focused on Business Process Modeling and Analysis (14 papers), Service-Oriented Architecture and Web Services (9 papers) and Semantic Web and Ontologies (5 papers). Niek Tax collaborates with scholars based in Netherlands, Germany and United Kingdom. Niek Tax's co-authors include Natalia Sidorova, Wil M. P. van der Aalst, Djoerd Hiemstra, Xixi Lu, Dirk Fahland, Reinder Haakma, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi and Irene Teinemaa and has published in prestigious journals such as Information Processing & Management, Lecture notes in computer science and Data Mining and Knowledge Discovery.

In The Last Decade

Niek Tax

17 papers receiving 195 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Niek Tax	110	104	66	44	39	21	198
Abel Armas-Cervantes	64 0.6×	70 0.7×	52 0.8×	28 0.6×	12 0.3×	14	137
Euthimios Panagos	120 1.1×	80 0.8×	61 0.9×	21 0.5×	11 0.3×	31	271
Nikolai Chilov	70 0.6×	50 0.5×	92 1.4×	23 0.5×	17 0.4×	25	185
Y.N. Doganata	86 0.8×	94 0.9×	62 0.9×	17 0.4×	46 1.2×	25	272
Fan Yang	70 0.6×	33 0.3×	118 1.8×	13 0.3×	17 0.4×	25	238
Marc Solé	73 0.7×	38 0.4×	107 1.6×	12 0.3×	24 0.6×	31	225
David Issa Mattos	53 0.5×	27 0.3×	42 0.6×	8 0.2×	21 0.5×	20	132
Santhosh Kumaran	86 0.8×	82 0.8×	45 0.7×	11 0.3×	15 0.4×	19	184
Andries Stam	92 0.8×	104 1.0×	47 0.7×	5 0.1×	8 0.2×	18	211
Maciej Gawinecki	65 0.6×	21 0.2×	123 1.9×	16 0.4×	28 0.7×	26	204

Countries citing papers authored by Niek Tax

Since Specialization

Citations

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

Fields of papers citing papers by Niek Tax

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niek Tax

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

All Works

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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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