Jörg P. Wadsack

15 total papers · 486 total citations
14 papers, 351 citations indexed

About

Jörg P. Wadsack is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Jörg P. Wadsack has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in Jörg P. Wadsack's work include Advanced Software Engineering Methodologies (10 papers), Software Engineering Research (7 papers) and Model-Driven Software Engineering Techniques (5 papers). Jörg P. Wadsack is often cited by papers focused on Advanced Software Engineering Methodologies (10 papers), Software Engineering Research (7 papers) and Model-Driven Software Engineering Techniques (5 papers). Jörg P. Wadsack collaborates with scholars based in Germany, Canada and Australia. Jörg P. Wadsack's co-authors include Jörg Niere, Lothar Wendehals, Wilhelm Schäfer, Jim Welsh, Albert Zündorf, Holger Giese, Matthias Tichy, Jens H. Jahnke, Sven Burmester and R. V. Wagner and has published in prestigious journals such as Science of Computer Programming, International Journal on Software Tools for Technology Transfer and Personality and Mental Health.

In The Last Decade

Jörg P. Wadsack

14 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Jörg P. Wadsack 282 246 178 72 26 14 351
Lothar Wendehals 289 1.0× 263 1.1× 178 1.0× 72 1.0× 32 1.2× 11 351
J.Q. Ning 314 1.1× 170 0.7× 258 1.4× 66 0.9× 26 1.0× 21 391
Russell J. Abbott 204 0.7× 196 0.8× 111 0.6× 71 1.0× 12 0.5× 17 346
Michael VanHilst 258 0.9× 233 0.9× 67 0.4× 103 1.4× 42 1.6× 22 360
Kasper Østerbye 209 0.7× 189 0.8× 76 0.4× 114 1.6× 9 0.3× 23 346
Cris Kobryn 181 0.6× 184 0.7× 117 0.7× 57 0.8× 12 0.5× 16 383
Yguaratã Cerqueira Cavalcanti 306 1.1× 203 0.8× 178 1.0× 97 1.3× 31 1.2× 16 403
Hans Albrecht Schmid 145 0.5× 171 0.7× 53 0.3× 166 2.3× 80 3.1× 20 309
Antoine Beugnard 205 0.7× 233 0.9× 82 0.5× 104 1.4× 9 0.3× 17 320
Damien Watkins 199 0.7× 224 0.9× 79 0.4× 102 1.4× 10 0.4× 11 321

Countries citing papers authored by Jörg P. Wadsack

Since Specialization
Citations

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

Fields of papers citing papers by Jörg P. Wadsack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg P. Wadsack. 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 Jörg P. Wadsack. The network helps show where Jörg P. Wadsack may publish in the future.

Co-authorship network of co-authors of Jörg P. Wadsack

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026